Empower your teams with interactive and self-service analytics
(39 ratings)
Dremio offers custom pricing plan
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Dremio is a cutting-edge SQL lakehouse platform that empowers businesses with self-service and interactive analytics. It eliminates the complexity and high costs of data pipelines, allowing for smooth movement and storage of data in proprietary warehouses. Gone are the days ... Read More
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Community Edition
Powerful & Intuitive UI
Scales From 1 to 1000+ Nodes
Data Connectors for RDBMS, Elasticsearch, HDFS, Amazon S3, ADLS
Data Reflections
High Availability & Disaster Recovery
Advanced Reflection Substitution Logic
Columnar Cloud Cache
Elastic Engines
Enterprise Edition
Powerful & Intuitive UI
Scales From 1 to 1000+ Nodes
Data Connectors for RDBMS, Elasticsearch, HDFS, Amazon S3, ADLS
Data Reflections
High Availability & Disaster Recovery
Advanced Reflection Substitution Logic
Columnar Cloud Cache
Elastic Engines
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Disclaimer: Pricing information for Dremio is provided by the software vendor or sourced from publicly accessible materials. Final cost negotiations and purchasing must be handled directly with the seller. For the latest information on pricing, visit website. Pricing information was last updated on .
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Santa Clara, California
Dremio is a cutting-edge SQL lakehouse platform that empowers businesses with self-service and interactive analytics. It eliminates the complexity and high costs of data pipelines, allowing for smooth movement and storage of data in proprietary warehouses. Gone are the days of slow analytics with Dremio's lightning-fast performance, as it removes unnecessary data copies and ensures consistency and centralized data semantics in real-time. With Dremio, users can easily discover, analyze, and share data in a centralized location, creating interactive dashboards using native connectors in Power BI and Tableau. It offers seamless workload management and an elastic architecture for unlimited concurrency, along with record-level mutations and access to past data on the data lake.
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].
Researched by Rajat Gupta