Ocient, a leading hyperscale data analytics solutions company serving organizations that derive value from analyzing trillions of data records in interactive time, released version 20 of the Ocient Hyperscale Data Warehouse. New features and optimizations include a suite of indexes, native complex data types, and the creation of data pipelines at scale to enable faster and more secure analysis of log and network data for multi-petabyte workloads. Customers in telecommunications, government, and operational IT can now use Ocient to find needle-in-the-haystack insights across a broad set of uses cases including call detail record (CDR) search, IP data record (IPDR) search, Internet connection record (ICR) search, and content delivery network (CDN) optimization.
Ocient introduced a new suite of indexes to further enhance the cost-effective performance at scale delivered by its Compute Adjacent Storage Architecture. Ocient’s new suite of indexes includes N-gram indexes to accelerate searching text data such as URLs and log messages for hyperscale log and network analysis. With up to 40 times performance gains on these workloads, network analysts can work with multi-petabyte datasets faster to find and diagnose issues and predict future issues or outages within hyperscale distributed networks while cutting systems and operational costs by up to 80%.
“Industries such as telecommunications, government, and operational IT generate massive multi-petabyte log data that must be analyzed in real time for performance monitoring, business insights, and compliance with industry regulations. The volume of data combined with the requirement to instantly ingest, perform analytics, and deliver insights on that data is challenging legacy systems and creating a new class of hyperscale analytics systems purpose-built to meet such stringent requirements,” said David Menninger, SVP and research director, Ventana Research.
Ocient’s version 20 release includes additional features to enhance performance, streamline data integration, create data pipelines at scale, and consolidate data movement for improved security. These features include:
- Native complex data types like arrays, tuples, and matrices that allow for significant performance optimization when integrated as native components of the data warehouse
- Analysis on larger character fields via large varchars up to 512 MB enabling users to leverage full resolution large character data
- New SQL statements such as CREATE TABLE AS (CTAS) and INSERT INTO CREATE TABLE unlocking new opportunities for customers to create data pipelines at scale, build test environments, issue complex transformations, and more
- Intra-database movement, or ELT, enabling customers to simplify data transformations, consolidate data movement, and enhance security
“The Ocient Hyperscale Data Warehouse version 20 offers significant enhancements to better support our customers’ requirements for hyperscale log and network metadata analysis,” said Chris Gladwin, co-founder and CEO, Ocient. “We see many existing systems unable to handle the sheer volume of data our customers are dealing with, and this release provides our users with the tools they need to rapidly gain new insights, comply with regulations and transform their businesses.”
The Ocient Hyperscale Data Warehouse can be deployed as a managed service on-premises, in Google Cloud procured through Google Cloud Marketplace, in AWS, or in the OcientCloud.
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