• Data Explosion

    Organizations are collecting and storing more data than ever before because their businesses depend on it.
  • Disparate Tools and Technologies

    Require specific skills and will have limited awareness of other system dependencies and interactions.
  • Time to Market

    In today’s fast-changing marketplace, time to market can make the difference between success and failure.
  • Many Touch-points and Dependencies

    Business, IT and Operations – As things gets prioritized with each functions, the window of opportunity is lost.

World is moving Fast

Enterprises need to acquire, integrate and analyze rapidly growing volumes and varieties of internal and external data to derive insights for competitive advantage. Due to increased complexity in data and analytics, there are many disparate tools and systems that take care of some of these needs in parts. Datalakes offers a comprehensive Self-Service Big Data Analytics Platform that enables enterprises to make faster accurate data driven decisions for business.


We use the open source Big Data Technologies.


Apache Hadoop is an open-source software framework for storage and large scale processing of data-sets on clusters of commodity hardware. Hadoop is an Apache top-level project being built and used by a global community of contributors and users.[2] It is licensed under the Apache License 2.0.



The Apache Hive™ data warehouse software facilitates querying and managing large datasets residing in distributed storage. Hive provides a mechanism to project structure onto this data and query the data using a SQL-like language called HiveQL. At the same time this language also allows traditional map/reduce programmers to plug in their custom mappers and reducers when it is inconvenient or inefficient to express this logic in HiveQL.



Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google's Bigtable. Just as Bigtable leverages the distributed data storage provided by the Google File System, Apache HBase provides Bigtable-like capabilities on top of Hadoop and HDFS.



Apache Sqoop(TM) is a tool designed for efficiently transferring bulk data between Apache Hadoop and structured datastores such as relational databases.



R is a language and environment for statistical computing and graphics. R provides a wide variety of statistical (linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering etc.) and graphical techniques, and is highly extensible.



D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG and CSS. D3’s emphasis on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework, combining powerful visualization components and a data-driven approach to DOM manipulation.



Java is a computer programming language that is concurrent, class-based, object-oriented, and specifically designed to have as few implementation dependencies as possible. It is intended to let application developers "write once, run anywhere" (WORA), meaning that code that runs on one platform does not need to be recompiled to run on another.



What We Do In Free Time?

We, at Datalakes are continuously innovating to build products and platforms for businesses to do End-to-End Big Data Analytics in a self-service manner.

Check out everything
Horizontal Platform Capabilities

Built in Connectors to any Data source, ready to use analytics functions, rich Data visualization library on an intuitive persona based user interface.

Industry Specific Solutions

We support all functions (like Marketing, HR, Risk, Supply Chain, Shipment etc.) of various industry verticals including Financial, Retail, Consumer Products, Manufacturing, Utilities, Energy etc.

On-Premise and Cloud

Datalakes Platform can be implemented on premise or on any Cloud Infrastructure. We will align the platform to meet your security standards and guidelines.

Flexible Support Model

Datalakes Services team will work with you to help you build solutions on the platform. We will train you as we build so that eventually you will be in a complete self-service mode.


Datalakes offers a Comprehensive Platform for Self-Service Big Data Analytics.

End-to-End Analytics for each Use-case

Discovery, Descriptive, Inquisitive and Predictive Analytics, Closed Loop Analytics.

Self-service capabilities for every User

Highly visual and interactive visual interface – no need to worry about any complex technologies.

Accuracy and Speed for all Decisions

Built in and ready to use capabilities. As you create more, the platform evolves as your enterprise insights market place.

Tamed Elephant

Apache Hadoop is an open-source software framework for storage and large scale processing of data sets on clusters of commodity hardware. Datalakes leverages all the capabilities of Hadoop and its ecosystem components