Analyze trillions of records at hyperspeed with Ocient
The Ocient Hyperscale Data Warehouse leverages indexing and machine learning to maximize query return rates across service classes and concurrent users.
Optimize your queries in real-time
The Ocient Hyperscale SQL Optimizer™ leverages machine learning at scale to optimize the execution path for every query and return smarter results faster.
By combining a rich set of runtime operators within novel stochastic optimization techniques, Ocient can generate execution plans for queries that would be impossible or would never be found by traditional database systems.
Utilizing multi-dimensional probability density functions instead of histograms to calculate selectivity allows Ocient to create compute-cost models that accurately identify the most efficient plan for every query.
Ocient’s novel and complex query optimization techniques enable the Ocient Hyperscale Data Warehouse to deliver query results in minutes or seconds instead of hours or days, illuminating new solutions to complex challenges at lightning-fast speeds. Here’s how:
- Utilizing secondary indexes to locate and access data faster across more dimensions of analysis.
- Storing data in segments that incorporate minimum and maximum time value, making the retrieval of data by time extremely efficient
- Clustering data within the segment utilizing a clustering key defined by the user, which can be used to further isolate records or skip them when scanning data
- Allowing for indexes on complex data types, like arrays and matrices to speed data processing and analysis
Hear from Dylan Murphy, director of product management at Ocient, about our unique approach to querying at hyperscale:
Learn how you can deploy Ocient and unlock insights at hyperscale.