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Open Source Data Platform Empowers Business Analysts and Data Scientists to be Self-Directed in Data Analysis
Mountain View, Calif., – April 25, 2018 – Dremio, the self-service data company, announced today a new major release of its open source platform, including its core acceleration technology, Data Reflections™, introduced the Dremio Learning Engine, and added support for Looker, a leading Business Intelligence platform. With these new features, Dremio helps business analysts and data scientists to discover, curate, share, and analyze data from data lakes, NoSQL, and relational sources using their favorite tools at unprecedented speed.
Dremio’s open source, self-service data platform addresses the key data analysis issues that challenge modern organizations. This includes acceleration of queries on massive datasets for interactive analytics with BI and data science tools; the complexity of connecting data from disparate sources like data lakes, NoSQL databases, and relational databases; and long lead times for data engineering tasks. Dremio accelerates time-to-insight by empowering analysts and data scientists to be independent and self-directed in their use of data across the enterprise, while preserving governance and security, and providing insight into data lineage.
“Dremio transparently enables unprecedented time-to-insight and, unlike traditional approaches which require building a data warehouse or rely on point-to-point single server designs, Dremio connects any analytical process to any data source and scales from one to 1,000 plus servers, running in the cloud, on dedicated hardware, or in a Hadoop cluster,” said Kelly Stirman, vice president strategy and CMO, Dremio. “With Dremio data consumers can perform critical data tasks themselves, without being dependent on IT. We bring self-service to the entire analytics stack. With this approach analysts and data scientists are more independent and self-directed.”
Data Reflections™ provide a breakthrough in performance that transparently accelerates processing by up to a factor of 1000x. Unlike traditional cubes, extracts and data marts, Data Reflections leverage Apache Arrow for breakthrough performance gains and are entirely invisible to end users - Dremio’s query planner automatically selects the best reflections to accelerate queries for ad hoc requests, BI, and data science workloads using libraries such as TensorFlow and Scikit-learn. This release includes:
New in this release, the Dremio Learning Engine makes recommendations and adapts to evolving workloads, making it easier for users to be more productive in their use of the platform and for workloads to be deployed more efficiently with fewer infrastructure and administrative resources. This release includes:
Dremio is designed to seamlessly integrate with existing data sources, as well as the favorite tools of data consumers, including BI and data science tools. With mission critical deployments at many organizations, Dremio has continued to simplify operation of production environments, including the following capabilities:
This release also adds support for Looker, a popular Business Intelligence platform. Users of Looker can now take advantage of Dremio’s powerful data acceleration capabilities for relational databases, as well as NoSQL databases such as MongoDB, Elasticsearch, and data lakes built on Hadoop, Amazon S3, and Azure Data Lake Store. Learn more here.
“Dremio provides an easy-to-use solution for Looker customers wanting to analyze data directly from NoSQL data stores,” said Keenan Rice, vice president of alliances at Looker. “Dremio’s ability to query across multiple data stores without physically consolidating the data will save customers valuable time and resources.”
The latest release of Dremio’s self-service data platform is available immediately. Connect data sources and start running analytics at unprecedented speed in minutes.
Dremio reimagines analytics for modern data. Created by veterans of open source and big data technologies, Dremio is a fundamentally new approach that dramatically simplifies and accelerates time to insight. Dremio empowers business users to curate precisely the data they need, from any data source, then accelerate analytical processing for BI tools, machine learning, data science, and SQL clients. Dremio starts to deliver value in minutes, and learns from your data and queries, making your data engineers, analysts, and data scientists more productive.
Founded in 2015, Dremio is headquartered in Mountain View, CA. Investors include Lightspeed Venture Partners, Norwest Venture Partners and Redpoint Ventures. Connect with Dremio on GitHub, LinkedIn, Twitter and Facebook.
Winkowski Public Relations