Bigstep Adds MapR Converged Data Platform to its Technology Stack
SAN JOSE, Calif., March 29 — At Strata + Hadoop World, Bigstep announced that MapR is now available as part of the company’s big data platform-as-a-service. The Bigstep platform empowers organizations to effortlessly set up and manage big data architectures within a high-performance, highly secure and scalable bare metal environment. It is specifically built for big data workloads and provides improved performance for Hadoop, NoSQL and analytical DBs, search and analytics engines.
“Companies building big data ecosystems are looking for tools that are easy to deploy and deliver fast results,” said Flaviu Radulescu, president and CTO, Bigstep. “We are now offering MapR as part of our big data platform so users have the ability to choose which Hadoop distributions and big data apps make the most sense for their businesses.”
MapR on Bigstep’s platform is one of the most extensive high-availability (HA) Hadoop distributions currently available. Its unique architecture makes it a reliable and fast solution for big data. Key features include record-breaking data processing power, an infinitely-scalable file system, high availability, disaster recovery setup and one-click setup in a high-performance bare metal environment.
“We are pleased to now offer the MapR Converged Data Platform through Bigstep,” said Xavier Guerin, vice president, EMEA Business Development, MapR Technologies. “We continue to expand our partnerships and provide the most cloud options on the market for organizations interested in deploying a powerful platform for handling a wide range of real-time global data applications. Our customers have realized tremendous business value from the unparalleled performance, reliability, data protection, disaster recovery and multi-tenancy features we bring to the cloud.”
In addition, MapR on the Bigstep platform supports a wide selection of Hadoop applications so businesses with varying use cases and resources can rely on a single, easy to use solution from beginning to end.
Use cases include:
- Real-Time Stream Processing: MapR provides a simplified, publish-subscribe model for real-time stream computation using Storm or Spark Streaming. Data feeds can be written directly to the MapR platform, which allows for less overhead and a shorter app chain.
- Large-Scale Distributed Datasets: Low latency interactive query capability, hierarchical data structures and schema discovery make MapR on the Bigstep platform perfect for working with large-scale distributed datasets. It supports NoSQL, Hadoop and traditional RDBMS.
- Predictive Analytics, Full Search & Discovery: Gather trend data, search Hadoop data directly or index standard files with no conversion or transformation needed. Content and results are highly available, automatically compressed, and can be protected using snapshots and mirroring.
- Security & Risk Management: Analyze real-time data from network or other security devices, process application log data preemptively or use pattern and anomaly recognition capabilities to improve security and reduce unnecessary risk.
“We selected Bigstep as our cloud platform provider because of its ease of use, speed and commitment to integrating the best big data tools and Hadoop distributions, such as MapR,” said Anthony Kalinde, Big Data Engineer, Dharmic Data AS. “The company allows us to experiment with different environments before making a commitment and has helped us build a solid foundation on which we can rapidly scale, iterate and deploy our solutions into production.”
Bigstep is a big data-as-a-service provider that enables businesses of all sizes to quickly and easily make sense of their data. The Bigstep platform empowers organizations to set up and manage big data architectures within a high-performance, highly secure, and easily scalable bare metal environment. Bigstep has offices in the UK and Bucharest, and infrastructure in the UK and Germany. For additional information, visit: http://www.bigstep.com.
About MapR Technologies
MapR provides the industry’s only Converged Data Platform that integrates the power of Hadoop and Spark with global event streaming, real-time database capabilities, and enterprise storage, enabling customers to harness the enormous power of their data. Organizations with the most demanding production needs, including sub-second response for fraud prevention, secure and highly available data-driven insights for better healthcare, petabyte analysis for threat detection, and integrated operational and analytic processing for improved customer experiences, run on MapR. A majority of customers achieves payback in fewer than 12 months and realizes greater than 5X ROI. MapR ensures customer success through world-class professional services and with free on-demand training that over 50,000 developers, data analysts and administrators have used to close the big data skills gap. Amazon, Cisco, Google, HPE, Microsoft, SAP, and Teradata are part of the worldwide MapR partner ecosystem. Investors include Google Capital, Lightspeed Venture Partners, Mayfield Fund, NEA, Qualcomm Ventures and Redpoint Ventures. Connect with MapR on LinkedIn, and Twitter.