Technology of Datameer
Good Citizen in Your IT infrastructure
Datameer is built on open standards compatible with IT infrastructures. A wide range of integration points are available to import and export data. Administration, configuration and monitoring are accessible in the end-user interface or via command line.
Datameer acts like a good tenant by sharing your Hadoop environment with other applications, fully utilizing the platform and its native APIs.
Datameer is the most open Hadoop analytics platform, which uses the Hadoop Distributed File System (HDFS) to easily import, export, store and manage data. Custom MapReduce jobs can be integrated and harmonized using concepts like the Datameer Data Links and the REST API.
Any browser, any device
A innovative HTML5 web user interface makes the daily work in Datameer a breeze. Ease of use and productivity are the highest design principals. Datameer supports all modern browsers and delivers a native desktop application feel in your browser. Datameer is accessed on any browser whether that is on your laptop, tablet, or your smart phone and runs centralized and secure in your data center or the cloud.
Natively built on Hadoop
Datameer is architected from ground up for Hadoop and takes advantage of the unique NoSQL analytics power of Hadoop. Other tools just connect and copy data from Hadoop. Datameer uses the power of Apache Hadoop to break the decades-old cycle of slow, static, and difficult to use data analytics architecture. Datameer reduces the conventional BI complexity of three applications, ETL, data warehouse and BI by integrating all three applications into one powerful platform.
Datameer is the most open, Hadoop-based analytics platform in the market. Built on top of a thin micro kernel foundation, Datameer is comprised of hundreds of plugins, similar to architectures like Eclipse. This allows the system to be extremely flexible, extendable and robust. Individual plugins run in a shared nothing sandbox classloader environment and different plugins can run different versions of code without any effect to the system. This architecture allows extension and/or replacement of individual parts of the system with custom plugins such as decryption of data during import.
Datameer includes a no cost SDK that makes writing custom plugins for import, export, functions, and visualizations possible for any future need.
Integrating existing user-defined functions from Apache Pig, Hive or other systems is a minimal development effort and developers can go much further by integrating functions from R, Python or other languages and systems.
All of Datameer's major components are exposed through REST APIs. This enables system monitoring with any "industry standard" or custom monitoring tool. The system can also be provisioned with import / export jobs, workbooks and infographics, all from the REST API, making Datameer an ideal choice to build data driven applications and exposing it outside your organization.
Built-in optimization for Hadoop
Datameer includes a state-of-the-art job planner and optimizer. Similar to database query planers, the Datameer job planer takes the user input (a workbook) and plans the lowest number of MapReduce jobs to execute the workbook. The job planer and optimizer takes advantage of the data profile information gathered during data import and uses this for optimization.
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