Lower Cloud Compute Costs with Coginiti Hybrid Query
Now in Private Preview
Coginiti Hybrid Query is an innovative capability that allows Coginiti to seamlessly connect to your data platform to read and query open table data formats from your data lake.
Benefits:
- Reduce ad-hoc query cloud compute cost by 20%+
- Defer larger tasks to the cloud only when necessary
- Secure SQL query execution in your environment
Coginiti Compute
Use Coginiti's internal engine to execute queries directly against data on your data lake and seamlessly offload to your data platform compute engine when necessary.
Open Table Formats
Leverage open table formats like Apache Iceberg and Delta Lake supported by Snowflake, Google Big Query, and Databricks to manage costs of unpredictable ad-hoc queries.
Scalable & Secure
Coginiti Hybrid Query is enterprise-ready. Built for scalability and security, Coginiti runs in your environment, complying with your security and governance policies.
Tackling Rising Costs and Unpredictability
One of the persistent challenges reported by infrastructure teams is the escalating costs of compute on cloud data platforms, coupled with the unpredictability of ad-hoc user queries. Inefficient queries, prolonged resource usage, and excessive data pulls often result in runaway costs that can keep data infrastructure teams on edge.
The adoption of open table formats like Apache Iceberg and Delta Lake empowers customers to use diverse compute resources to manage their data.
Coginiti's internal engine reads these open table formats and execute queries maximizing your organization's existing desktop compute investments without incurring additional cloud compute costs.
Join the Private Preview
Save your team's spot to experience Coginiti Hybrid Query.
