PALO ALTO, CA--(Marketwired - Mar 17, 2014) - Cloudera, the leader in enterprise analytic data management powered by Apache Hadoop™, today announced that for the first time it has been positioned in the 2014 Magic Quadrant for Data Warehouse Database Management Systems.
According to Gartner, "Offloading of historical data will demand lower-priced storage tiers, but will insist that historical data can be accessed for in-depth, longer-term analysis. This will be one role of the new technologies and will retard the demand for bigger data warehouses based solely on storage." This statement is in line with what Cloudera is seeing and hearing from its own customer base -- the need and desire to complement their existing data warehouse infrastructure with robust and cost-effective Hadoop-based technology that enables them to solve problems that weren't addressable with a traditional EDW alone.
Additionally, Gartner notes the following strengths for Cloudera:
- Cloudera can process unstructured data (that is, unfamiliar schemas), structured (that is, familiar and well understood schemas) and data types that are in between (such as XML) with a variety of solutions such as batch computer (MapReduce), interactive SQL (Impala) and text search (Cloudera Search).
- Examples of Cloudera capabilities include the training and scoring of predictive models via push-down to SAS and R (programming languages) and offering a wide array of prepackaged machine-learning libraries.
- Reference customers report high confidence in Cloudera's personnel, their specific skills in deploying Hadoop distributions, and in the Cloudera-developed intellectual property (IP) -- Impala, for example.
"Cloudera continues to transform the enterprise data management market," said Mike Olson, founder, chairman of the Board and chief strategy officer, Cloudera. "We believe that our position in the 2014 Magic Quadrant for Data Warehouse Database Management Systems validates our ability to innovate and provide our customers with the technology and support that they need. The report highlights Cloudera's growing role alongside existing data warehouse infrastructure."
In 2013 Cloudera announced its vision behind an enterprise data hub (EDH,) namely one place to store all data for as long as desired in its original fidelity for as long as is necessary, delivering insights to all kinds of users, as fast as possible. Built with Apache Hadoop at its core, it is a new, more powerful and scalable data platform with the flexibility to run a variety of workloads -- batch processing, interactive SQL, enterprise search, advanced analytics -- together with robust security, governance, data protection and management that enterprises require.
According to the report, "The Niche providers in 2013 saw new entrants challenge them and, in some cases, moved swiftly past them. However, the overall broadening of vision in the market, with competing approaches, is actually creating openings for new vendors. Niche Players generally deliver a highly specialized product with limited market appeal. Frequently, a Niche Player provides an exceptional data warehouse DBMS product, but is isolated or limited to a specific end-user community, region or industry. Although (sometimes) the solution itself may have no limitations, adoption is limited."
A New Way of Doing Things: Bringing Compute to Data with an Enterprise Data Hub
An enterprise data hub serves as an integral component of a new hybrid approach to data management, which pragmatically extends and complements the value of existing investments while enabling fundamentally new ways of delivering value from data.
An enterprise data hub can be used:
- As an Active Archive -- providing one place for all data of all types, cost-effectively retained in full fidelity for any period of time. As a staging area for new enterprise data, you could even call an EDH an automatic archive.
- As one place to transform data from its raw format into structured formats for consumption by existing systems, while retaining the original data for future use and reuse. Nothing is lost.
- By business users to get direct, agile access to specific data sets to explore and analyze in-place, reducing the BI backlog of business user requests and freeing capacity on existing systems.
- To derive real benefit from bringing new analytic workloads to the EDH, reducing the need to invest in and move large volumes of data between platforms just to ask new questions. Native engines -- Batch, Streaming, Interactive SQL, Search, Machine Learning, and more -- are complemented by third-party products running directly in an enterprise data hub. Better analytical tools generate more value from more data, driving revenue and profit.
The complete report, including the quadrant graphic, is available on the Cloudera web site at http://www.cloudera.com/MQ.
Cloudera is revolutionizing enterprise data management by offering the first unified Platform for Big Data, an enterprise data hub built on Apache Hadoop™. Cloudera offers enterprises one place to store, process and analyze all their data, empowering them to extend the value of existing investments while enabling fundamental new ways to derive value from their data. Only Cloudera offers everything needed on a journey to an enterprise data hub, including software for business critical data challenges such as storage, access, management, analysis, security and search. As the leading educator of Hadoop professionals, Cloudera has trained over 20,000 individuals worldwide. Over 900 partners and a seasoned professional services team help deliver greater time to value. Finally, only Cloudera provides proactive and predictive support to run an enterprise data hub with confidence. Leading organizations in every industry plus top public sector organizations globally run Cloudera in production. www.cloudera.com
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The Magic Quadrant is copyrighted 2014 by Gartner, Inc. and is reused with permission. The Magic Quadrant is a graphical representation of a marketplace at and for a specific time period. It depicts Gartner's analysis of how certain vendors measure against criteria for that marketplace, as defined by Gartner. Gartner does not endorse any vendor, product or service depicted in the Magic Quadrant, and does not advise technology users to select only those vendors placed in the "Leaders" quadrant. The Magic Quadrant is intended solely as a research tool, and is not meant to be a specific guide to action. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.