Tuesday, 16 September 2014

Top 45 Big Data Tools for Developers

Big Data is everywhere. Even small to medium-sized businesses are seeking ways to gain more visibility into processes, monetize additional streams, and derive more actionable insights from their data. With data traditionally contained in information silos within applications or databases, taking advantage of Big Data was initially a tedious and complex process. But thanks to Big Data tools, Big Data management can now streamlined in a comprehensive dashboard.
Sophisticated platforms enable end-to-end data management and business intelligence with solutions for gathering, integrating, analyzing, and even predicting data in ways never before possible. Listed in no particular order of importance, the following Big Data tools for developers offer platforms for rapid deployment of apps, the ability to integrated data collection and analysis from multitudes of sources and applications, and even integrating offline and online data to put actions and events into context. 

A real-time SQL-on-Hadoop database, Splice Machine takes Big Data beyond analytics with the ability to derive real-time, actionable insights for rapid decision-making. Not only can Splice Machine process real-time updates, but it offers the ability to utilize standard SQL and is capable of scaling out on commodity hardware. Splice Machine can be used in circumstances where MySQL or Oracle can’t scale.
Key Features: 
  • SQL-99 compliant, with standard ANSI SQL
  • Easily scales from gigabytes to petabytes using cost-effective, commodity hardware
  • Real-time updates with transactional integrity
  • Distributed computing architecture
  • Multiple Version Concurrency Control (MVCC)
Cost: Contact for a quote
Palantir was founded in 2004 by a group of former PayPal employees and Stanford computer scientists. The company has doubled in size every year to date, but strives to maintain its startup culture. Offering a suite Big Data solutions for integrating, visualizing and analyzing information, Palantir’s product line emphasizes scalability, security, ease of use, and collaboration. Palantir’s solutions are most commonly used in intelligence, defense, financial and law enforcement applications, but it’s quickly growing in other verticals.
Key Features: 
  • Solutions for integrating, visualizing and analyzing data
  • Serves a multitude of industries with custom solutions
  • Exploit and analyze data
  • Extract data from multiple sources
  • Privacy and data protection policies
  • Simplify workflows by integrating data into a single dashboard
Cost: Contact for a quote
3. Attivio
As enterprises are coping with a broader variety of information sources, eliminating information silos is critical to gaining comprehensive insights and identifying key relationships among data. Attivio’s Active Intelligence Engine combines Big Data and Big Content to analyze everything, including human-generated text through advanced text analytics. Combined with universal indexing and automatic ad-hoc JOIN, Attivio is a powerful solution for making valuable connections between all your data.
Key Features: 
  • Combines Big Data and Big Content
  • Eliminates information silos
  • Adds context and signals from human-generated information sources
  • Supports BI/data visualization tools
  • In-engine analytics
Cost: Contact for a quote
Google Charts is a free tool with a wide range of capabilities for visualizing data from a website. From simple charts to complex hierarchical tree maps, Google Charts offers a gallery with a multitude of pre-configured chart types to choose from. Google Charts is easily implemented by embedding simple JavaScript code on a website, yet it offers complex functionality with the ability to connect to dashboards, sort, modify, and filter data, connect to a database or integrate with and pull data from a website. Take it a step further by implementing the Chart Tools Datasource protocol and allow other entities to source data from your website.
Key Features: 
  • Charts exposed as JavaScript classes
  • Customize to match the look and feel of a website
  • Charts populated using DataTable class
  • Sort, modify, filter data
  • Populate data from a variety of sources
Cost: FREE
5. Mortar
Mortar is a “general purpose platform for high-scale data science” designed to help data scientists spend more time analyzing their data and deriving actionable insights, instead of dedicating valuable time to building infrastructure and re-configuring systems. With Mortar, you can build a custom-built recommendation engine in days, not months.
Key Features: 
  • Open-source tools for building a recommendation engine
  • Built on Hadoop and Apache Pig
  • Create, test and run jobs from in-browser IDE
  • Snapshots monitor changes and progress
  • Instant feedback on code for fewer bugs
  • Public – FREE
  • Solo – $99/month
  • Team – $499/month
6. SAP
SAP’s HANA platform can be combined with Apache Hadoop for the ability to integrate and analyze massive loads of data in real time. The platform makes it possible to derive actionable insights by making valuable connections between all types of information, from a multitude of sources. Combine SAP HANA with applications that leverage Big Data insights to quickly create additional revenue streams and improve operations.
Key Features: 
  • Infinite storage
  • Flexible data management for all types of data
  • Discover insights with analytics solutions
  • Runs processes 1,000 to 100,000 times faster in-memory
  • SAP IQ analytics holds the Guinness World Record for data loading
Cost: Contact for a quote
Collecting, integrating, and analyzing Big Data doesn’t have to be a major effort. Cambridge Semantics makes it all possible with the Anzo Software Suite, an open platform for building Unified Information Access (UIA) solutions. That means replacing the information silos that leave data isolated and useless with a powerful, seamless data integration machine that streamlines data collection and enables sophisticated analysis for rapid decision making. And you can implement all this within hours or days — not the typical weeks or months required for an initiative at this level.
Key Features: 
  • Combine data from a multitude of sources
  • Customized, interactive web dashboards for analysis
  • Share spreadsheets in sync automatically
  • Useful for CRM, billing, project management and more
Cost: Contact for a quote
Just because development is in your blood doesn’t mean you should embrace complexity when simpler solutions are readily available. Fusion Charts enables you to create sophisticated, cross-device compatible JavaScript charts with animation, rich interactivity, and impressive design with ease. Don’t spend your valuable time on child’s play; with Fusion Charts, you can spend more time on complex development tasks and deliver even better results.
Key Features: 
  • Developer resources center
  • Interactive zooming and scrolling
  • Real-time charts and gauges
  • Multi-lingual charts
  • Visually editable charts and gauges
  • Linked charts and a variety of effects
Cost: Contact for a quote
MarkLogic is built to support the world’s biggest data loads, bringing all types of relevant content back to users who can turn it into action. With real-time updates and alerts, connections between information make new opportunities immediately obvious. MarkLogic is ideal for enterprises that count on revenue through paid content search. With geographic data combined with content, location relevance is built in, and geographic boundaries make advanced data filtering possible.
Key Features: 
  • Range of Big Data solutions
  • Speeds development
  • Flexible APIs
  • NoSQL
  • Real-time analysis and updates
  • Bring all types of content back to end users
Cost: Contact for a quote
10. Syncsort
Syncsort offers a range of products and solutions to help you tap into Big Data. Hadoop, Linux, Unix and Windows, and Mainframe solutions, Syncsort’s product lineup offers a solution to meet practically any configuration needs. A GUI-based solution, Syncsort enables developers to create solutions for collecting, processing, and distributing more data in less time.
Key Features: 
  • Solutions for Hadoop, Mainframe, Windows, Linux, Unix
  • Lowers the barriers to Hadoop adoption
  • Eliminates the need for custom code for Hadoop implementation
  • High-performance sorting
  • Improve efficiency
Cost: Contact for a quote
11. DataStax
DataStax helps companies like Netflix, Healthcare Anytime, eBay, and even Adobe harness the power of Big Data with less effort and at a lower cost than traditional solutions. Tapped as the first alternative to Oracle, DataStax provides the constant uptime and lightning speed required for modern customer-facing applications. When you need the capacity to handle massive data loads at maximum speed for real-time analysis, DataStax packs a major punch with a robust visual query tool for developers.
Key Features: 
  • Visual query tool for developers
  • Create and run Cassandra Query Language (CQL) queries and commands
  • Visually navigate and interact with data clusters
  • Works with DataStax Community and Enterprise editions
Cost: Contact for a quote
12. Guavus
Need to create a rich, engaging and meaningful customer experience? Guavus drives better decision making with powerful analytics capabilities combined with advanced data science and the ability to distill data in real time to derive actionable insights at the precise moment of opportunity. Through continuous correlation and ongoing analysis, vast amounts of static and dynamic data are handled with ease and revealing opportunities to generate more revenue, reduce overhead costs, and monetize new streams.
Key Features: 
  • Analyze-First Analytics Architecture
  • Analyze high-volume data streams in near real time
  • Handles multiple data sources with ease
  • Continual data analysis from moment of capture
Cost: Contact for a quote
13. mongoDB
An open-source document database, mongoDB is ideal for developers who want precise control over the final results and processes for handling Big Data. With full index support, you have flexibility to index any attribute and scale horizontally without compromising functionality. Rich, document-based queries and GridFS for storing files of any size without the risk of compromising your stack, mongoDB is a scaleable, flexible, and powerful solution for Big Data.
Key Features: 
  • Open-source platform
  • Document-oriented storage
  • Flexible aggregation and data processing
  • Full index support
  • GridFS
Cost: FREE
A cloud service solution for Big Data, Infochimps Cloud makes it possible to deploy Big Data applications rapidly and without the typical time commitment. For applications requiring real-time analysis, multi-source streaming data, a NoSQL database, or a Hadoop cluster, Infochimps Cloud offers a solution that facilitates rapid implementation. Real-time analytics, ad hoc analytics, and batch analytics comprise Infochimps Cloud’s three essential cloud services.
Key Features: 
  • Integrate with any data source – CRM solutions, etc.
  • Log analysis
  • Mobile data analytics
  • Fraud detection and risk analysis
  • Ad targeting
  • Customer insights via social media sources, website clickstreams and more
Cost: Contact for a quote
15. Pentaho
Pentaho brings IT and business users together by joining data integration and business analytics for integrating, visualizing, analyzing and blending Big Data in ways never before possible for better business results. When you need the ability to put robust information at your users’ fingertips in real time and at a reasonable cost, Pentaho’s open, embeddable and extensible analytics platform makes it easy to visualize, explore, and predict — turning data into value.
Key Features: 
  • High-volume data processing
  • Adaptive Big Data layer
  • Data mining and predictive analysis
  • Instaview – data to insights in 3 steps
Cost: Contact for a quote
Key Features: 
  • Organized dashboard
  • SQL data explorer
  • 250-plus pre-packaged Hadoop algorithms
  • SAS, SPSS and R Analytic Models
  • Dynamic data lenses for self-service analytics
Cost: Contact for a quote
17. Placed
Placed facilitates data collection from offline sources, enabling enterprises to derive actionable insights through a combined analysis of both offline and online behavior and data metrics. Placed targeting and placed attribution facilitates better results from mobile advertising by mapping the relationship between people and places by capitalizing on Big Data capabilities.
Key Features: 
  • Measure visitation trends over time
  • Measures 100 million locations a day, across more than 100,000 opted-in US smartphones
  • Inference Pipeline references a place database with nearly 300 million features for the US alone
  • Largest repository of offline insights into the paths and behaviors of consumers
  • Audience segmentation by demographics and other data points
  • Affinity modeling for understanding relationships between data
  • Monitor and understand how consumer behavior changes over time
Cost: Contact for a quote
18. Upsight
Upsight, formerly Kontagent, provides actionable analytics for developers to understand what’s happening with your apps and derive actionable insights from data to impact acquisition, engagement, retention and revenue. The platform also enables the creation of targeted in-app and out-of-app metrics in line with KPIs.
Key Features: 
  • Free, enterprise-grade analytics
  • Unlimited data storage
  • Data mining with Hadoop
  • Measure anything from social apps to games and mobile dating apps
  • Funnel analysis
  • Cohort explorer
  • Predictive LTV
  • FREE – Analytics and unlimited data storage, 250k push
  • Core – $500/month - Custom Events up to 100k MAU, 500k push
  • Pro – $2,000/month - Custom Events up to 250K MAU, 1M push
  • Enterprise – Starting at $3,000/month - Unlimited Data Storage & Custom Events + Data Mine + Predictive LTV + A/B, unlimited push
19. Talend
Talend Open Studio is “a powerful and versatile set of open source products for developing, testing, deploying and administrating data management and application integration projects.” Providing a unified environment for managing the full lifecycle, even across enterprise boundaries, Talend enables developers to reclaim their productivity with a fully integrated platform for joining data integration, data quality, MDM, application integration and big data.
Key Features: 
  • Data integration at a cluster scale
  • No need to write or maintain code
  • Works with leading Hadoop distributions
  • Pull source data from anywhere, including NoSQL
Cost: FREE
Connect and visualize data for Hadoop Analytics, MongoDB Analytics, Cassandra Analytics, and other platforms in one central repository. Using Big Data, developers can configure reports, analytics, dashboards, and more, without having to migrate data to multiple databases.
Key Features: 
  • Real-time analytics
  • Integrate all your data
  • Blend data through innovative data virtualization metadata layer or raditional data warehouse using ETL
  • Present integrated visualizations and dashboards within your apps
  • Create intuitive design tools for non-designers to create visualizations
  • Free
  • Jaspersoft for AWS – Less than $1/hour
21. Keen IO
With powerful APIs for gathering all the data you need and deriving the actionable insights you need to drive your business forward, Keen IO is a powerful, flexible, and scaleable solution that’s literally Big Data, easy-to-implement and at your fingertips.
Key Features: 
  • Send as much data as you want, from any source
  • Set up event data on any action, such as upgrades, impressions or purchases
  • Arbitrary JSON format
  • Custom properties
  • Developer – FREE – 50,000 events/month
  • Startup – $20/month – 100,000 events/month
  • Growth – $125/month – 1M events/month
  • Premium – $300/month – 4M events/month
  • Professional – $600/month – 8M events/month
  • Business – $1,000/month – 15M events/month
  • Enterprise – $2,000/month – 50M events/month
  • Custom – Negotiable – 50M – 100B events/month
22. Skytree
High-performance machine learning on Big Data for advanced analytics, Skytree offers the ideal platform for fully exploiting the opportunities presented by Big Data. With a multitude of industry-focused solutions as well as solutions encompassing everything from predictive analytics to algorithmic pricing, Skytree is a comprehensive Machine Learning platform emphasizing the growing importance of Predictive Analytics in Big Data.
Key Features:
  • Business Analytics range from value analytics to fraud detection and what-if analytics
  • Marketing Analytics offer solutions ranging from ad optimization to lead scoring and recommender systems
  • Only general purpose scalable Machine Learning system on the market
  • Highest accuracy on the market; unprecedented speed and scale
  • Power Packs modules are plugged into the Skytree Server Foundation
Cost: Contact for a quote

Tableau was launched by a computer scientist, an Academy Award-winning professor, and a business leader with a passion for data. This perfect trio created a powerful suite of solutions designed to put more data at users’ fingertips — and help them understand it in more meaningful ways. With an advanced query language for powerful visualizations, the ability to natively query databases, cubes, warehouses, and more, a lightning-fast in-memory analytics database designed to eliminate silos and more, Tableau addresses every corner of Big Data demands.
Key Features: 
  • In-memory analytics database eliminates memory silos
  • Leverages the complete memory hierarchy from disk to L1 cache
  • Tableau Public – free tool bringing data to life on the web
  • Touch, swipe and tab functionality for mobile
  • Easily layer in additional data sources
  • Access any data with a few clicks
  • Tableau Public – FREE
  • Tableau Desktop, Tableau Server, and Tableau Online – Contact for a quote
24. Splunk
Key Features: 
  • Derive insights from Big Data with speed and simplicity
  • Works on most major Hadoop distributions, including including first-generation MapReduce and YARN
  • Splunk Hadoop Connect enables bi-directional integration
  • Real-time collection, indexing, and analyzing
  • Splunk Storm – FREE cloud service for developers
  • Splunk Enterprise – Perpetual License – Starts at $4,500 for 1 GB/day, plus annual support fees
  • Splunk Enterprise – Term License – Start at $1,800 per year, which include annual support fees
  • Hunk – One-year term license of Hunk starts at $2,500 per Hadoop TaskTracker or Compute Node with a minimum of ten TaskTrackers or Compute Nodes
  • Splunk Cloud – Annual subscription pricing, data volumes of 5GB/day to 1TB/day
25. Platfora
Platfora hides the complex nature of Hadoop, making it simpler for enterprises to discover and understand facts in their business across events, actions, behaviors and time. Built by Silicon Valley veterans who have built market-leading companies around big ideas, the Platfora team understands the power of Big Data and aims to change customers’ lives with Platfora as they’ve done with companies in the past.
Key Features: 
  • Vizboards for self-service, interactive data visualization
  • Analytics Engine, In-Memory Accelerator, and Hadoop Processor
  • Entity-centric data catalog
  • Build interest-driven pipelines of facts
  • Analyze data iteratively with segmentation
  • Collaboration features
  • On-premise or cloud deployment
Cost: Contact for a quote
Key Features: 
  • User-implemented real-time stream processors (Flows)
  • Process a batch of data objects with the same transaction
  • More than one instance possible with each Flowlet
  • Programmatic control with REST interfaces
  • Three partitioning strategies to choose from
  • DataSets for higher-level abstractions
Cost:  Contact for a quote
27. BitDeli
Key Features: 
  • One-click install
  • Automatically generated pull requests
  • Trending badge indicator shows repository popularity
  • Global rankings for comparison
  • Fork aggregation for a broad picture of project health
Cost: Based on GitHub Enterprise pricing
28. Flurry
Flurry is an end-to-end solution for analyzing consumer behavior, advertising to the right audience, at the right time, and discovering new ways to monetize audiences. Flurry makes use of 3.5 billion app session reports per day totaling more than 3 terabytes to provide valuable insights for app developers, such as a deep understanding of the user base, engagement benchmarks, and other key metrics.
Key Features: 
  • Demographic estimations
  • App engagement benchmarks
  • App category and consumer interests
  • World’s largest app-audience data set
  • Reach more than 250 million customers per month
  • Data-powered targeting
  • Flurry Analytics – FREE
  • Flurry AppCircle, FlurryPersonas, Flurry AppSpot – Contact for a quote
29. Spring Data /Pivotal
Key Features: 
  • Support for Hadoop, mongoDB, Data Rest and more
  • Also provides consulting services
  • Customized, all-in-one Eclipse-based distribution
  • Tool suites for ready-to-use solutions
Cost: FREE
Key Features: 
  • Interact with all data, in multiple ways, simultaneously
  • Stable, tested, complete package of all services required for the platform
  • Integrates with other tools
  • HDP is built and supported by original architects, builders and operators of Hadoop
Cost: FREE
31. StatsMix
Key Features: 
  • Chart and track anything
  • Measure KPIs
  • Track any metric with API
  • Automatic social monitoring
  • Share metrics and dashboards via email, embed them, or create guest accounts
  • Aggregate metrics to eliminate silos
  • Custom dashboards
  • Basic – $24/month – 100k API requests
  • Standard – $49/month – 300k API requests
  • Pro – $99/month – 1M API requests
  • Premium – $199/month – 3M API requests
  • Enterprise – $499/month – 8M API requests
32. Pervasive
Key Features: 
  • Partnership with Actian for powering Big Data 2.0
  • Predictive Analytics for Big Data
  • Simple interface for loading massive amounts of data at rapid speeds
  • Fastest data-crunching engine in the world
  • RushLoader for Hadoop – FREE
  • ParAccel Dataflow Loader for Hadoop – FREE for 12 months
  • All other products – Contact for a quote
33. InfiniDB
Key Features: 
  • Three open-source versions available
  • Completely MySQL-accessible
  • Familiar, MySQL interface for large-scale, ad hoc BI
  • Dimensional and predictive analytics
  • Integrates with the Hadoop ™ Distributed File System (HDFS)
  • Real-time, ad hoc analytics within an Apache Hadoop cluster
Cost: FREE
34. GridGain
GridGain reimagines in-memory computing for a competitive edge in the modern business environment. Nikita Ivanov and Dmitriy Setrakyan share a passion for high-performance computing, a shared vision on which they based the first release of GridGain in 2007. The list of features, functionality and capabilities of these solutions is astounding.
Key Features:
  • In-Memory Data Grid
  • Supports SQL, K/V, MongoDB, MPP, MapReduce
  • Hyper Clustering
  • Zero Deployment
  • Advanced Security
  • Fault Tolerance
  • Load Balancing
  • Customizable Event Workflow
  • Programmatic Querying
  • Minimal or no integration
  • No ETL required
  • Eliminate MapReduce overhead
  • Works with any Hadoop distribution
Cost: Contact for a quote
 35. DeepDive
A new type of system to help developers analyze data on a deeper level, DeepDive is an open-source project with a simple four-step process for writing applications on the platform. With calibrated probabilities for every assertion it makes, DeepDive is designed to navigate around the problematic nature of human error in development.
Key Features: 
  • Handles large amounts of data from multiple sources
  • Write simple rules and offer feedback on prediction accuracy
  • “Distantly” learns, rather than requiring a tedious machine-learning process for training predictions
  • Scaleable, high-performance inference and learning engine
Cost: FREE
Key Features: 
  • Reduce analytic development by 90% or more
  • Large volumes of data in short amounts of time
  • Reuse and share analytics knowledge across teams
  • Detect hard-to-find issues with 40% less false positives
  • Visibility control for management and executives
Cost: Contact for a quote
Key Features: 
  • Extract data from various platforms, from database and analytics platforms to NoSQL databases or enriched distributions
  • Supports real-time analysis of streaming data
  • Charts, reports, thematic maps, cockpits
  • Translate information to self-service BI
  • Reporting, multi-dimensional analysis
  • Ad hoc reporting
  • Location intelligence
  • Real-time dashboards and console
Cost: FREE
Key Features: 
  • Hundreds of methods for data integration
  • Runs on every major platform
  • No programming required
  • Drag-and-drop interface
Cost: Contact for a quote
39. Orange
Orange is an open-source data visualization and analysis tool for both novices and experts. Data mining is conducted either through visual programming or Python scripting, with components for machine learning and ad-ons for bioinformatics and text mining.
Key Features: 
  • Remembers choices and makes suggestions
  • Intelligently chooses communication channels between widgets
  • Packed with visualization options from bar charts to dendograms
  • Integration and data analytics
  • Combine widgets to design the framework of your choice
  • Toolbox with more than 100 widgets
Cost: FREE
OpenDataSoft is a comprehensive discovery tool with maps, charts, and graphs to explore public data sets. A cloud-based platform, OpenDataSoft is designed for seamless and unlimited data publishing, sharing, and resuse.
Key Features: 
  • Reuse data through APIs and apps models
  • Collect data from any source
  • Read and understand all formats
  • Make databases findable and reusable
  • Standard access formats
  • Interactive & shareable visualization
  • API factory
  • Web extensions and open source
Cost (pricing based on Euros): 
  • FREE – Civic initiatives and academic projects
  • 200/month – 100k records, 20K UI/API queries/day
  • 700/month – 10M records, 100K UI/API queries/day
  • Contact for a quote – Unlimited records, UI/API queries/day

41. Angoss

A comprehensive marketing analytics solution, Angoss offers real-time Big Data insights for a variety of verticals and business sectors. From credit scoring to opportunity and lead scoring, fraud deterrence and claims management, Angoss is capable of capturing and analyzing data for a multitude of applications.
Key Features:
  • Automated workflows to develop scorecards
  • Select the most predictive variables
  • Advanced predictive modeling
  • Angoss Decision and Strategy Trees
  • Data preparation and profiling
  • Model validation and deployment
Cost: Contact for a quote
42. Mu Sigma


Mu Sigma is one of the world’s largest Decision Sciences and analytics firms, helping companies to institutionalize data-driven decision making by harnessing Big Data. With a set of proprietary platforms to enable rapid decision-making and comprehensive data collection and integration that eliminates information silos, Mu Sigma is a powerful tool for machine learning, operational research, artificial intelligence, and more.
Key Features: 
  • Hosts Mu Sigma problem DNAs
  • Real-time analytics and event stream processing
  • Load models into an enterprise ecosystem for consumption
  • Embedded advanced analytics engine
  • Influence analysis and topic modeling
  • Sentiment evaluation
  • Easily scaled on commodity hardware
Cost: Contact for a quote
43. ERwin


A collaborative data-monitoring environment, ERwin offers an intuitive, graphical interface with a centralized view of key definitions, enabling the leveraging of data as strategic business asset. The product is comprised of a number of editions designed for different stakeholders within an organization, providing a targeted level of information availability and display and configurations for better understanding and usability.
Key Features: 
  • Achieve business agility through model-driven collaboration
  • Collaborate via web or desktop
  • Active model templates and naming standards
  • Display themes, custom data types, macro language and API
  • Custom reporting
  • Metadata integration tools
  • CA ERwin Data Modeler Standard Edition r9.5 – Product plus 1 Year Enterprise Maintenance – $4,794
  • CA ERwin Data Modeler Standard Edition r9.5 – Product plus 3 Years Enterprise Maintenance – $6,392
  • CA ERwin Data Modeler Workgroup Edition r9.5 – Product plus 1 Year Enterprise Maintenance – $6,708
  • CA ERwin Data Modeler Workgroup Edition r9.5 – Product plus 3 Years Enterprise Maintenance – $8,944
  • CA ERwin r9.5 Data Modeler for Microsoft SQL Azure – Product plus 1 Year Enterprise Maintenance – $1,679.94
  • CA ERwin r9.5 Data Modeler for Microsoft SQL Azure – Product plus 3 Years Enterprise Maintenance – $2,239.92
  • CA ERwin r9.5 Web Portal Standard Edition 1-5 Users – Product plus 1 Year Enterprise Maintenance – $8,399.70
  • CA ERwin 9.5 Web Portal Standard Edition 1-5 Users – Product plus 3 Years Enterprise Maintenance – $11,199.60
Key Features: 
  • Processing clusters use off-the-shelf hardware
  • Clusters typically homogeneous, but not required
  • Distributed, Thor, Roxie file systems
  • Linux operating system
  • Build multi-key, multi-field (aka compound) indexes on DFS files
  • Data warehouse capabilities for structured queries and data analysis applications
  • Supports thousands of users with sub-second response time, depending on application
Cost: FREE
45. pmOne
Offering Big Data and Business Intelligence solutions, pmOne’s cMORE enables users to quickly build, flexibly grow and efficiently administer solutions. It leverages and extends SQL Server functionality, as well as that of Excel, SharePoint, and other components in the Microsoft BI stack.
Key Features: 
  • Simplified standard and ad hoc reporting
  • Credible alternative to SAP-based data warehouse
  • Consistent reporting company-wide
  • Personalize reports; distribute books
  • Easy access to SAP data and other systems
  • Based on Microsoft BI
Cost: Contact for a quote
Are Big Data tools changing the way you develop apps? What Big Data tools are changing the way you architect and run your big data projects?

Related Posts Plugin for WordPress, Blogger...