Combining Starburst’s best-in-class query engine with proprietary and patented indexing technology sets a new benchmark in data lake analytics, empowering organizations to more quickly and efficiently derive greater insights from their data
The move to the cloud and pay-as-you-go consumption models give IT leaders more flexibility to scale expenses upward or reduce them downward. Starburst Warp Speed not only speed queries, it also dynamically and autonomously updates cache based on analytical workload patterns. Customers can rest assured the system is providing the best performance for the most important data, and not overpaying for performance on data that’s infrequently accessed. No more unnecessary cloud compute costs.
Speed query performance with smart indexing
Starburst Warp Speed splits the data to be processed into blocks and then automatically chooses the most effective index for each block, ensuring data is available for fast analysis, and reducing query response times up to 7x
Adapt to business requirements with elastic resource management
Automatically cache frequently accessed data and provide data teams with the tools to adjust settings to meet performance and budget requirements. Starburst elastically scales to optimize for cost and performance
Reduce operational costs with workload-level monitoring
Workload-level monitoring detects hot data and bottlenecks, pointing data engineering teams to areas for improvement. Customers reduce the need to move & model data, and see up to 40%+ cloud compute cost reduction on AWS, Azure, and Google Cloud.
Adapts to the workload
Continuous detection of hotspots and bottlenecks
Seamless acceleration
Indexes, caches and materialization are automatic
Workload visibility
Easily understand queries performance
Autonomous data lake acceleration.
Each query is executed in the optimal way to accommodate performance requirements using a combination of different acceleration technologies
- Creates appropriate index types (bitmap, dictionary, tree) and tailors each one to every block
- Accelerates joins, filters, and searches
- Stored on SSD
- Proprietary SSD columnar block caching
- Optimal performance based on the frequency of data usage and its business priority
- Eliminates unnecessary table scanning
Accelerate analytics on any data
Access the vast data lake, fast
- Index across entire data lakes
- On-demand acceleration of exploratory datasets
- Acceleration engine is automatic without the need for data engineering
Easy to use on all data
- Use your favorite tools
- No manual data loading and copying
- Cache your data lake and query other sources at once
Accelerate BI dashboards
Faster dashboards on more data
- Autonomous Indexing:
7x-10x faster drill-down on TBs-PBs - Smart Caching:
7x-10x faster access than non-optimized data lakes
Faster dashboard building
- Automatically adapts to the workload
- Seamless acceleration as indexes, caches, and materialization are automatic
