Big Data Analytics Tools Comparison

SelectHub is real people helping you find the top Big Data Analytics Tools for your unique business needs while recognizing the true Big Data software leaders who help make your decisions possible.

Big Data Analytics Tools Buyer's Guide

Last updated on May 16th, 2019

Owning Big Data Is All About Using The Best Big Data Tools

The truth is that in today’s business landscape, solid ideas and hard work aren’t going to save your business from failure. In an economy ruled by rapid change and trends, the winner is often the one with the best tools. Big data tools are no different in this aspect — they are the line between the data-rich and the data-deprived. With data software handling literally 2.5 quintillion bytes of data a day, your business can’t afford to avoid diving into the realm of big data. If you’re looking for more information or are in the realm of big data already than you’ve come to the right place.

Executive Summary

  • Big data analytics tools can run the gamut from simple(r) and user-friendly to requiring a data scientist to interpret.
  • A strong list of essential core-features you need versus the big data features you want will help make your decision process even easier.
  • Big data can significantly augment your business needs, show you where to improve upon, where you’re excelling and what to do next.
  • Big data analytics tools can provide a robust set of advanced features and installation types.

Benefits of Big Data Software and What They Do

Improve the Decision-Making Process

Big data analytics software is designed to ingest thousands of gigabytes worth of data — all kinds of it. From customer interaction metrics to web hits to sales figures and more. All the buzzwords and hype you’ve heard around the words “big data”? This is where it all happens.

Digest Large Amounts of Data

Naturally, the benefits for big data software tools are numerous, but none are as important as the actual processing of large batches of data. In an economy now ruled by business analytics and big data, the value of a good piece of data software that can process in bulk cannot be understated.

Players like Oracle Big Data Analytics deliver on simplifying user interaction and crunching what could be mountains of data. Like most other products, they also provide a visual interface to Hadoop.

Hadoop Visualization

Hadoop is an open source software library that “allows for the distributed processing of large data sets across clusters of computers using simple programming models.” Hadoop is considered necessary for mining helpful insights out of large sets of data, so buyers would do well to make sure their select software has it. And while Hadoop might be an essential feature big data analytics companies that Oracle, IBM and SAP build their product around, it’s not nearly as important as reporting features.

Contextualize Big Data

There’s a common piece of knowledge in the world of big data: Without context, data is meaningless. And it’s true. Without a meaningful way to communicate what you’ve gathered, you’re simply wasting time and money throwing numbers and figures at people. With the revenue from big data set to grow to $260 billion in 2022, according to the International Data Corporation, not properly contextualizing information reporting features is a critical mistake that could cost your business.

So make sure that sophisticated, Hadoop enabled big data analysis tools is going to let you visually see and drill-down into your insights, and then share those insights in a meaningful way with other key players.

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Business Intelligence Implementation Goals

Goal 1

Improve Business Performance With Greater Insight

Big data analytics offers a unique chance to get an objective look at your company’s performance. By seeing your key performance indicators (KPIs) laid out in front of you with hard data to back them up, you’re afforded a chance to optimize your business. See where you’re underperforming and then find out why. See where you’re excelling and then double-down on your efforts.

Among other advantages, you can assess supply and demand concerns by using big data, and the correlate concerns with internal friction. For example, if you’re not meeting your key performance indicators and you notice your data is showing key supply shortages, you can adjust accordingly and squash errors.

Goal 2

Better Understand and Serve Customers

As data becomes more descriptive and robust, big data analytics software is giving people better and better ways to understand and serve their customers. Imagine being able to not just see how your customers are interacting with your business, but be able to solve their problems before they happen. And then imagine taking that insight and turning it into a reason that customers become repeat customers.

With big data analytics tools, it’s possible to get the intel you need to quickly identify problems with the customer experience. Then you can focus on delighting your buyers by catering to their wants and their needs. The best big data software builds descriptive customer models for you. They provide insight into behavior, patterns wants and needs. Sophisticated customer profiles can augment different components of your business, such as marketing or sales. Arming employees with knowledge will make them more precise in their work.

Goal 3

Become More Certain in Your Decision Making

Big data analytics is as much a marketing tool as it is an internal administrative tool. When you need to decide where and how to spend a budget, by utilizing your gathered intel, you can augment the decision-making process with objective data. Same goes for ordering inventory, making new hires or cutting staff.

Naturally, this prompts the need for even more accurate data.

Big data analytics live and die by the accuracy of their products. They integrate countless data quality management features, models and algorithms to clean and prepare data so that it’s both accurate and understandable. If your decision makers are basing their decisions off of poor data, big data might do more harm to the company than good.

Goal 4

Empower Employees With Big Data

Modern workers are technology-natives. They’ve been raised around technology and see it as an essential part of their daily lives, especially in their work-lives. There are very few places and employee levels that don’t benefit from having access to big data. Business leaders get a high-level overview of their business, mid-level managers get to see and understand the key intel on their specific niche and lower level employees are going to have more specific data to empower their productivity and decisions. When evaluating software, keeping implementation goals in mind helps users decide which features are required to accomplish those goals. Constructing a requirements list will provide a framework for the kind of BI solution your business needs.

 

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Basic Big Data Analytics Features & Functionality

Big data analytics companies are always scrambling to include the latest and greatest product features that can set them (and you) apart from the competition. And while having the newest features can be exciting and perhaps even beneficial to your business, consider focusing on these core features first before you start looking for shiny bells and whistles:

Robust Reporting

Reporting is the bridge between the abstract world of data and actionable insights. Good reporting features when dealing with large subsets of data are essential. They visually show us the relationships between abstract figures and aspects of a business, either in the past, present or future.

Big data software with a powerful reporting function also empowers users with sharing abilities, so no one person is the sole messenger in any given situation. With good reporting tools, you can generate beautiful visual reports on the fly and instantly ship them off company-wide.

Data Warehousing, Storage and Retrieval

We produce 2.5 quintillion bytes of data a day, and it’s all gotta go somewhere. Warehousing is the processing of storing data in large quantities and processing it. Big data analytics platforms are going to be centered around its warehousing abilities, whether they be cloud-based or on-premise solutions. Both have a number of tradeoffs and advantages, chiefly that with a cloud-based big data warehouse, you don’t need to manage all that data yourself. It’s stored on someone else’s system, as opposed to an on-premise solution.

Support For Different Types of Analytics

Contrary to popular assumptions, there are multiple types of analytics that are applicable to big data. You’ve got business intelligence which is any kind of knowledge that’s applicable to the operation of a business. There’s also predictive analytics, which takes data from the past and present, runs it through sophisticated data models, and attempts to make a prediction based on what it knows.

Alongside predictive analytics is prescriptive analytics — commonly referred to as “the final frontier” of analytics. Unlike predictive analytics, prescriptive analytics attempts to make decisions based on predictions, much in the same way an artificial intelligence (AI) might make a decision. Real-time analytics is a type of analytics that isn’t as future-oriented. Real-time is focused on what’s happening in the now and shows intel as it's happening combined with what has already happened.

Finally, there’s machine learning. Data software is becoming increasingly advanced — so advanced that it’s learning on its own based off prior knowledge. Machine learning analytics is capable of learning on its own by feeding off your data, making predictions based on that information, and notifying users of suggestions or decisions it made. It’s not full auto-pilot yet, but it’s a strong step forward.

Support The Full Spectrum of Data Types, Protocols and Integrations

A large amount of a data scientist’s time is spent cleaning, preparing and organizing data for different applications and APIs. When you’re picking your big data software, make sure it supports the full spectrum of data types, analytics types and integrates well into other applications. A solid reporting API is helpful to have for your more tech-inclined users.

Version Control

In a large scale operation, several individuals may be apart of analyzing or experimenting with data. There’s a lot of tiny moving parts, and someone can change a data set on the fly. Version control offers users the chance to revert their old set back to a certain point, or even keep separate versions of the data to experiment on, without polluting or diluting the primary set.

Data Governance

Data governance is an essential tool for any big data software. It gives you more granular control over the data and allows you to closely follow privacy regulations like the GDPR. Some big data software even allows you to pseudonymize right in the program, making your agency more privacy friendly and regulation compliant.

R Integration

R is the programming language of statisticians and data scientists. It allows capable users to run complex and original algorithms on data. By having R in your big data software, you give yourself greater flexibility and potential when handling intel. In addition to being able to perform more complex functions, you also make scaling up your business and software much easier.

Ease of Use

Not everyone is a data scientist, and hiring one isn’t cheap. If a piece of software toes the line between complex functionality and ease-of-use, it’s a winner. This will help empower your employees with data, save you money, and increase and quality of your reports. It also gives you the flexibility you need to go from simple to complex data analysis.

 

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Additional Features to Enhance Your Big Data Analytics Strategy

At some point, the core features mentioned above won’t be enough. Eventually, your business will outgrow its basic software needs and will require something a lot more specialized. This is where you should start considering additional/advanced features.

Cloud-Based Big Data

Sounds like every buzzword ever, right? Well, not entirely. Cloud analytics is an up-and-coming solution to hosting an analytics program. It offers maintenance free storage, algorithms and application processing, while usually being cheaper than paying thousands to own and manage on-premise software. The downside is that they’re reliant on a good internet connection, less customizable and ultimately you’re dependent on the developers to provide the features that you might need.

CRM Integration

Enrich your CRM data with big data analytics. Products like Alteryx can combine your customer relationship management data with your big data analytics to produce clearer customer insights and profiles.

Augmented Analytics

Imagine automating your insights using machine learning and natural language generation. Imagine automated warnings and responses when there are notable changes, all without ever having to tell the program what to do. That’s what augmented analytics is. It can be a serious boon to your enterprise, but it might not be something you need or even want, depending on your agency's size and needs.

 

Big Data Analytics Tools Report

Expert recommendations and analysis on the top Big Data Analytics Tools

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Big Data Analytics Tools Comparison

Your software search is going to take you all over the place, from vendor to software to vendor again. You’re going to have to sift through a veritable pile of software and features in order to find the right one for your business. There’s a lot of tiny moving parts involved, and each business has its own wants and needs that will steer it towards one piece of data software or another.

To simplify this process, come into the search with your business plan set up and in place, as well as having answered questions like “How can we use big data analytics in our business specifically?” Our in-depth requirements guide for big data analytics can help you decide what the most meaningful requirements are to your business, and can make this process a lot easier. And then when you’ve got your requirements, check out our big data analytics software comparison to compare vendors and different big data tools.

To find vendors in your pricing range, give us a call, or check out our pricing guide.

Questions to Ask a Big Data Analytics Software Vendor

Selecting a business intelligence solution is a unique process for each organization, and what works best for one business may be totally wrong for another. To make matters worse, there are countless business intelligence companies on the market, each offering a different solution. Fortunately, SelectHub is here to help. To get a BI software comparison in the context of your organization, ask yourself the questions below:

Can this software be implemented successfully and within budget?

When shopping for big data software, interface directly with the vendor and ask for a quote. Account for additional costs on top of the initial quote.

Do you recommend a cloud-based solution for our business or something hosted on-premise? Or a mix of the two?

When it comes to big data analytics, there are two roughly defined camps: Cloud-based and on-premise (hybrid being a mix of the two). Both have their tradeoffs, which we covered here.

What internal IT resources will we have to commit to this software (roles, responsibilities, infrastructure, etc.)?

Depending on your hosting solution (which we covered above), you may need to commit some IT resources to manage your big data analytics solution. On-premise solutions typically require more in-house resources.

Is this system going to allow us to be GDPR compliant?

With Google recently being fined $57 million by the European Union for privacy violations, your business can’t afford (literally) to not be compliant with regulations like the GDPR.

Will this system help us meet our metrics and KPIs?

Your key performance indicators are what define the success or failure of your analytics implementation. Though you might not know for sure until you have the software in your hands, based off your feature needs and requests, you can get a decent picture of how the software is going to meet your success metrics.

Is training available to any level employee, or is it specific to IT professionals or business analysts?

Sometimes you get more than you paid for — and not in a good way. If you’re opting for a complex piece of analytics software, then you should ask about training.

What support and training will we receive after the installation?

Most vendors offer six months to a year’s worth of support after installation. Find out what your preferred vendor offers and any additional fees you may have to pay as a result.

Big Data Analytics Tools Report

Expert recommendations and analysis on the top Big Data Analytics Tools

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Questions About Vendor Considerations

The prestige, experience and viability of a vendor should play a major role in your decision-making process, alongside the capabilities of their products. Find out:

What sort of track record does this vendor have with other customers and strategic partners? Are any of them willing to speak on behalf of the vendor as references?

A vendor can have the best marketing in the world, but if every one of their clients walks away dissatisfied, you should probably look elsewhere. Do some scanning through social media tags mentioning the vendor, read reviews (such as the ones on our big data analytics vendors page) and ask your business partners what they’d recommend.

How active is the vendor in developing their product or fixing bugs?

Having a good track record for fixing bugs and implementing new features should be a definite positive in your list of features. Developer support is a real and valid need in an ever-growing market like big data analytics.

HWhat implementation methodology does the vendor use and how successful is it in delivering the product on time and within the set budget?

The first part of this question (implementation methodology) is primarily the concern of on-premise solutions. Cloud-based products will ordinarily have little-to-no installation. But with both of them, you should consider your own budget and what the product can offer. Seldom is it a good idea to go over budget for a product — unless you’re absolutely certain about its usefulness.

Does the software integrate data from multiple departments?

When you can combine information from different areas of the business, you can analyze factors like how the latest marketing campaign affected sales and whether you had enough inventory to support that growth. This can also help you forecast growth and tailor protocol to the way you predict the company to operate in the future.

How can the software forecast growth?

Intuitive BI apps help companies make business decisions such as new product implementation timelines or office expansion. Amazon uses technology like this to recommend additional products to its customers. If you can predict that customers who purchase toaster ovens will also be in the market for a stove within the next year, you can target your marketing campaigns accordingly.

Will it grow with my business?

If you’re investing in a BI solution, you don’t want it to be obsolete in a year. Plan to implement software that will last at least ten years. BI should be scalable. In your BI tools ranking of solutions, find out what the limitations are on data capacity so you can make an adequate decision about whether the software is right for you.

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Big Data Analytics Tools

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Dundas BI

User Satisfaction:
90%

Dundas BI is a powerful browser-based business intelligence solution from Dundas Data Visualization. It offers users the capability to generate interactive dashboards, customize their visualizations, build reports and drill down into data.This flexible BI solution with a responsive design lets users integrate data from any kind of source in real time. Released in 2014, it combines BI and business analytics capabilities into a scalable solution accessible from any device. Dundas BI can be used as a standalone system or embedded into other kinds of software.

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Board

User Satisfaction:
90%

Board is a fully-featured business intelligence platform, offering users business intelligence, business analytics and enterprise performance management under the hood. Board’s customizable and interactive dashboards give users the ability to see a high-level overview of their business, as well as drill down into their KPIs to assess business performance goals.This product serves mid to large companies across various industries. Board offers unique, customizable dashboards, which allow the user to dig down to the lowest level of details, while also giving users a comprehensive view of their complete business.

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Domo

User Satisfaction:
89%

Domo is a cloud-based Business Intelligence (BI) platform, suitable for company sizes ranging from small businesses to large enterprises. With 500+ data connectors, Domo integrates with various data sources and enables easily bring in data directly from spreadsheets, databases, social media and any existing cloud, on-premise, or proprietary systems. Domo offers a solution for every role in an organization by facilitating engagement with real-time data analysis and insights. Domo makes it easy to create meaningful and intuitive visualizations with its 300+ prebuilt, interactive and mobile-friendly charts. Domo's Dev Studio offers flexibility to develop custom visualizations using HTML, CSS, JavaScript, and just about any web technology. Domo cloud's architecture scales elastically and automatically to safely store billions of rows of data and query it all at sub-second speeds.

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WebFOCUS Platform

User Satisfaction:
98%

The WebFOCUS business intelligence (BI) platform delivers rich, consumable, interactive information to the widest range of employees, managers, analysts, partners, and customers. WebFOCUS offers true do-it-yourself reporting with unmatched scalability.

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GoodData Embedded Analytics

User Satisfaction:
95%

GoodData interactive dashboards promote visual data discovery, exploration, and collaboration by everyone on your team, so they capitalize on critical business insights right away. GoodData helps you design a great looking experience from any data, and the responsive mobile friendly user interface means it is optimized across modern devices and platforms.

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Jaspersoft Analytics Software

User Satisfaction:
93%

Jaspersoft's data analytics software is used to model, manipulate and visualize any flavor of data using OLAP or in-memory analysis in order to identify issues, spot trends and make better decisions quickly.

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Alteryx Analytics

User Satisfaction:
93%

Alteryx offers powerful data blending capabilities in an intuitive workflow that is up to 100X faster than traditional approaches. Alteryx delivers the complete range of data preparation tasks with a drag and drop workflow - no programming required. Alteryx Analytics provides analysts with an intuitive workflow for data blending and advanced analytics that leads to deeper insights in hours, not the weeks typical of traditional approaches.

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QlikView

User Satisfaction:
90%

QlikView, a product of Qlik is rapidly growing as one of the fastest BI and data visualization software. It is gaining popularity among companies as the product can be deployed quickly, can be used and learned easily. It is known for its powerful data discovery and interactive guided analysis. The product is the leader in the market for its data discovery feature. In the current highly competitive market, QlikView to meet the demands such as management and scalability needs of most enterprises has developed a highly advanced enterprise-class architecture. To ensure the quality of interactive data discovery, it provides a highly scalable, secure, and manageable environment. No matter where the data is located, data is file-based, on-premise, in the cloud, or in big data sources, it can access, combine and load the data from their exact location.

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arcplan Enterprise

User Satisfaction:
90%

With arcplan Enterprise, you get business intelligence when you need it, cost-effectively. arcplan Enterprise's complementary approach analyzes information from multiple data sources such as ERP, OLAP, relational databases, and web services simultaneously. With arcplan's robust, intuitive user interface, you get answers and can take action faster, skipping the costly implementation of a separate, complex analytical data store.

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Revolution R Enterprise 7

User Satisfaction:
90%

Discover the fastest, most cost-effective, enterprise-class, Big Data, Big Analytics software available. With high-performance advanced analytics, Revolution R Enterprise (RRE) unlocks the insight hidden in Big Data with the power of the R language.

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Inetsoft Style Scope

User Satisfaction:
90%

InetSoft's Style Scope™ is an easy to use interactive dashboard software application that includes real time reporting capabilities. It is an edition of Style Intelligence that focuses on business data monitoring and exploration by combining a data intelligence platform with visualization technology, serving both enterprises and solution providers.

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Inetsoft Style Intelligence

User Satisfaction:
90%

InetSoft's Style Intelligence™ is a data intelligence platform. At its foundation is a powerful data mashup engine that enables fast and flexible transformation of data from disparate sources, which can either supplement or obviate a data warehouse solution.

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MicroStrategy Enterprise Analytics & Mobility

User Satisfaction:
87%

MicroStrategy Enterprise Analytics Mobility, the worldwide leader in enterprise analytics and mobility software and pioneer in the BI and analytics space offers powerful software solutions and expert services that help organizations in effective decision making. Due to its ease of use, user scalability and sophisticated analytics, most companies prefer MicroStrategy over other BI tools.This tool has a social intelligence platform that provides various apps that enables companies who are using the tool, harness the power of major social networks for their marketing purposes. Some of the capabilities of tools are - enterprise reporting, data discovery, mobile productivity and real-time telemetry. A user can easily access, explore, and analyze data in just a few clicks with self-service analytics provided by this tool.

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SAP HANA Platform

User Satisfaction:
86%

SAP HANA Platform's in-memory database technology, is a computer appliance which can operate as a platform for data analytics and is considered by many to be a premier technology for high speed computing. It helps accelerate Big Data processing across flexible data management options to support hot, warm, and cold data.

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Tableau Big Data Analytics

User Satisfaction:
86%

Tableau Big Data Analytics is a big data analysis and reporting tool from Tableau. With Tableau, users can experience platform variety, and utilize popular frameworks such as Apache Hadoop, Spark and NoSQL to examine data. Viewing and sorting through data is easy for Tableau; all data is presented in one easy-to-use and digestible dashboard. Decision makers can also take advantage of seeing data from all sources, enriching their views.

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Panorama Necto 16 Advanced Analytics

User Satisfaction:
86%

Panorama Necto 16 is leading a revolution in the BI world by providing users with automated insights. It is the first and only business intelligence solution that provides business users with automated insights on 100% of their data—including Dark Data. Necto 16 provides users with a smart, personalized and collaborative data discovery experience, presented via highly visual and dynamic infographics. It will give you the ability to connect data, insights, and people across your entire organization.Today organizations analyze and benefit from only 10% of their data, while 90% remains unexplored as Dark Data. Most solutions in the market give users answers to their questions, which are based on the 10% of data that they know how to analyze. Necto takes it a step further and gives the users insights on questions they don’t have yet. By using patented algorithms, it pushes automated insights on one hundred percent of users’ data—including their Dark Data.

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GoodData Platform

User Satisfaction:
85%

GoodData is a comprehensive cloud analytics platform that integrates cloud data with operational sources to quickly uncover: Customer Insights that measure Marketing’s impact on the business, operational insights that improve decision making efficiency and increase sales velocity and opportunities to generate new revenue streams through embedded analytics

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TARGIT Decision Suite

User Satisfaction:
81%

TARGIT Decision Suite is the only solution that offers real-time dashboards, self-service analytics, user-friendly reporting, stunning mobile capabilities, and the market’s simplest data-discovery technology in a single and cohesive platform. TARGIT is developed for easy deployment in any scale and environment. Setup the servers and enable access through Windows, web, or mobile clients. If that isn’t enough, embed TARGIT into your other applications to bring centralized business intelligence to everyone in the organization. The solution’s self-service capabilities enable business users to create their own reports and analyses, eliminating IT bottlenecks.

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Spotfire

User Satisfaction:
80%

Tibco Spotfire is Tibco’s complete business intelligence and data discovery platform. Spotfire performs various functions, including in-depth analysis and robust visual reporting, all powered by artificial intelligence. Spotfire supports insights with AI, big data integration, integration with the internet of things (IoT) and more, with its data streaming technology.

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IFS Enterprise Operational Intelligence

User Satisfaction:
55%

IFS EOI lets executives and managers review and orchestrate processes that align with their business strategy. This allows them to ensure process execution delivers that strategy—EOI software drives these processes into end-users’ desktop functions. The EOI solution also provides end-users with a complete understanding of which functions deliver real customer value, those that are less effective, and those which waste both time and resources in terms of delivering the organizational goals. Ultimately, IFS EOI enables businesses to accelerate the realization of their business strategy—by making better decisions, faster. This can happen by assessing real-time business performance in the context of how it affects key business processes and goals, giving managers real-time operational intelligence and actionable controls to solve issues before they become problems. The solution is about strategy acceleration and execution.

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HP Vertica

User Satisfaction:
n/a

The HP Vertica Analytics Platform enables organizations to manage and analyze massive volumes of data quickly and reliably with no limits or business compromises that typically accompany traditional enterprise data warehouses. You can also accelerate business value from a vastly expanded variety of data by exploring and analyzing of all forms of data, including “dark data. And with expanded deployment options, you get the flexibility to deploy analytics where it’s needed – on industry-standard hardware, virtual machines, or in the cloud.

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IBM InfoSphere Data Explorer

User Satisfaction:
n/a

IBM® InfoSphere® Data Explorer is software that provides federated discovery, navigation and search over a broad range of data sources and types, both inside and outside your enterprise, to help users of all kinds find and share information more easily and to help organizations launch big data initiatives more quickly. In addition to the core indexing, discovery, navigation and search engine the software includes a framework for developing information- rich applications that deliver a comprehensive, contextually- relevant view of any topic for business users, data scientists and a variety of targeted business functions.

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Sisense Prism Suite

User Satisfaction:
n/a

The perfect combination of cutting-edge technology and amazing software that delivers powerful business analytics within hours. On-site, or in the cloud.

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Teradata Aster Database

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Aster Database delivers a massively parallel (MPP) Analytic Platform, a software solution that embeds both SQL and MapReduce analytic processing with data stores for deeper insights on multi-structured data sources and types to deliver new analytic capabilities with breakthrough performance and scalability. Aster Database not only stores large volumes of data but also processes data and analytic applications in-database to deliver faster, deeper insights.

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Wala! Platform

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The WaLa! Platform is a big data search and analytics solution that can be used to quickly assemble a variety of data-driven applications. These include applications for analytics, CRM, inventory optimization, dynamic data discovery, search and exploration applications and semantically rich data graphs

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Greenplum Unified Analytics Platform

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Greenplum UAP delivers a simple entry point for organizations seeking business agility through high-performance data analytics, enabling them to become data savvy, to develop a data-centric culture and to evolve into data-driven companies.

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Kapow Katalyst™

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Kapow Katalys provides an agile and practical way to deliver Big Data integration and process automation solutions. Catering to the needs of both IT and the line-of-business (LOB), Katalyst is a secure, scalable Big Data integration platform that enables you to extract web data, integrate applications or automate web-based manual business processes in just a few days - if not a few hours. Katalyst enables you to publish a Synthetic API to any web application or web portal, even when no API exists.

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Google BigQuery

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Analyze Big Data in the cloud using SQL and get real-time business insights in seconds using Google BigQuery. Use a fully-managed data analysis service with no servers to install or maintain

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1010data Big Data Discovery

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By unifying data and analytics on its platform, 1010data completely changes the analytic process – now even business users can perform analysis on data in the same place as it is stored. Use more information to make better business decisions.

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InfiniDB

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The InfiniDB ® database combines columnar technology with massive parallel processing (MPP) to deliver the exceptional scaling and speed you need for transformational, real-time analytics against Big Data sets. Your queries will take less time on InfiniDB, and as your data needs grow, so does your analytics platform.

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SlamData

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SlamData is an open source project that lets you run SQL queries on MongoDB, and build interactive reports that can be embedded anywhere. Used by thousands of companies around the world, SlamData is the only MongoDB solution that can push all queries into the database. Discover the power of NoSQL analytics in the industry's first analytics and reporting solution designed exclusively for modern databases.

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IBM Big Data & Analytics

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Apply all kinds of analytics to all types of data with IBM Big Data Analytics so you can discover fresh insights, capture the time-value of data and act with confidence.

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Microsoft Cloud Platform Big Data

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Microsoft is taking Big Data to a billion people by providing easy access to all data, big or small, and enabling end users to analyze all data with familiar tools like Excel. We also give IT a complete data platform to scale insights across their organizations with confidence

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Oracle Big Data Analytics

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Interact with discovery and advanced analytics to explore and uncover hidden patterns and insights in big data with rich visualization at the speed of thought. Experiment, decide, and act with more accuracy and precision to improve decision making and business outcomes.

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SAP Big Data Analytics

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Deliver 360° insight across your enterprise with Big Data analytics from SAP. Our advanced analytics platform and solutions allow you to analyze massive volumes of data at lightning speed – for the real-time business intelligence (BI) you need to make smarter, more profitable decisions.

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SAS High-Performance Analytics

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Quickly and confidently seize new opportunities. Make better choices ahead of the competition. And create new value from big data. High-performance analytics from SAS can handle your most difficult challenges and generate high-impact insights.

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We know selecting software can be overwhelming. You have a lot on the line and we want you to make your project a success, avoiding the pitfalls we see far too often.

As you get started with us, whether it be with Software Requirements templates, Comparing, Shortlisting Vendors or obtaining that elusive Pricing you need; know that we are here for you.

Our Market Research Analysts will take calls, and in 10 minutes, take your basic requirements and recommend you a shortlist to start with.