Cut Cloud Data Warehouse Compute Costs by 20%
Eliminate most of the cost for ad-hoc analysis and development
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 highly performant analytics query 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
- 30 to 40% of cloud compute costs are unpredictable, driven particularly by ad hoc queries
- Inefficient queries can cost you and your team thousands of dollar charges
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.
Coginiti Hybrid Query for Snowflake Iceberg Tables
Use Coginiti to start building consistent data products using Snowflake Iceberg tables. Bypass Snowflake warehouse compute by using Coginiti Hybrid's highly performant analytics engine to save on your compute costs.
Use Cases
- Zero Ingest - read your data in place.
- Existing Data Lake - query and read data from an existing data lake.
- New Lakehouse - build a Lakehouse on an open standard.
