Datameer at a Glance
Datameer® was founded in 2009 by Apache™ Hadoop veterans to re-imagine data analytics and empower anyone with a need for the truth to discover it through data analytics. The company pioneered point-and-click big data integration, analytics and visualization, making data mining as easy as drag-and-drop.
Analyze, Visualize, Monetize
Self-service analytics built upon an enterprise-class big data platform. Today, big data analytics provides opportunities to discover deeper, more complete business insights through the analysis and visualization of significant volumes of rapidly changing structured and unstructured data. Traditional business intelligence systems simply struggle to analyze big data because they were designed to interpret patterns in relatively small amounts of static, structured data typically stored on inflexible, expensive legacy systems. Fulfilling the promise of big data discovery for business advantage clearly necessitated a fresh and innovative approach to optimizing enterprise architecture for big data—enter Datameer and MapR.
Create Your Enterprise Data Hub with Hadoop
Enterprise-grade big data analytics needs powerful integration capabilities and stunning visualizations partnered with a reliable and robust big data platform, offering 24x7 high availability, seamless failover, flexible recovery and resilience. Our solution offers precisely that—a potent and compelling architecture to power insightful and intelligent business decision-making.
Datameer dramatically reduces the complexity required to integrate data from disparate sources, quickly analyze the results and present the outcomes in rich, graphical visuals that can be refreshed on-the-fly. With the MapR Distribution for Hadoop at its core, Datameer transcends the historic limitations of ETL and static schemas to enable business users to integrate data from any source into Hadoop. Pre-built data connectors for all common data sources means that data integration is an easy, three-step process of where, what and when.
Results can also be exported to other data sources, such as databases, remote file servers, data warehouses, or third party BI software packages. Users can initiate a one-time manual export, configure the job to run each time the workbook is updated, or at a specific time interval.
The Datameer end-to-end Big Data Discovery and Hadoop analytics solution ensures the fastest time to discovering insights in any data. Anyone can use Datameer’s wizard-based data integration, iterative point-and-click analytics, and drag-and-drop visualizations to get the broadest possible view of their organization. Datameer scales from a laptop to thousands of nodes and is available for all major Hadoop distributions, including MapR.
MapR delivers on the promise of Hadoop with a proven, enterprise-grade platform that supports a broad set of mission-critical and real-time production uses. MapR brings unprecedented dependability, ease-of-use and world-record speed to Hadoop, NoSQL, database and streaming applications in one unified distribution for Hadoop. MapR is used by more than 500 customers across financial services, government, healthcare, manufacturing, media, retail and telecommunications as well as by leading Global 2000 and Web 2.0 companies. Investors include Google Capital, Lightspeed Venture Partners, Mayfield Fund, NEA, Qualcomm Ventures and Redpoint Ventures.
Simple, Powerful, Visual, Fast.
Unique end-to-end big data analytics workflow that allows users to get instant visual insights at every step of analysis, drastically reducing the time it takes to get to insight.
Integrated. No ETL Required.
Eliminating the bottleneck and high cost of traditional ETL, Datameer helps users get to analysis quickly with wizard-led integration of any data, structured or unstructured.
Simple as a Spreadsheet.
240+ pre-built, point-and-click functions, from simple joins and filters to advanced sentiment analysis and predictive analytics on any data.
Top-Ranked Hadoop Distribution.
One unified big data platform for Hadoop, NoSQL, database and streaming applications.
Proven Production Readiness
Benefit from both open source community innovation as well as MapR architectural enhancements.
Consistent High Performance.
Eliminate downtime and performance bottlenecks, while ensuring business continuity.