Compare the Top OLAP Databases that integrate with Snowflake as of October 2025

This a list of OLAP Databases that integrate with Snowflake. Use the filters on the left to add additional filters for products that have integrations with Snowflake. View the products that work with Snowflake in the table below.

What are OLAP Databases for Snowflake?

OLAP (Online Analytical Processing) databases are designed to support complex queries and data analysis, typically for business intelligence and decision-making purposes. They enable users to interactively explore large volumes of multidimensional data, offering fast retrieval of insights across various dimensions such as time, geography, and product categories. OLAP databases use specialized structures like cubes to allow for rapid aggregation and calculation of data. These databases are highly optimized for read-heavy operations, making them ideal for generating reports, dashboards, and analytical queries. Overall, OLAP databases help organizations quickly analyze data to uncover patterns, trends, and insights for better decision-making. Compare and read user reviews of the best OLAP Databases for Snowflake currently available using the table below. This list is updated regularly.

  • 1
    icCube

    icCube

    icCube

    icCube is a drop-in replacement solution for SQL Server Analysis Services: - Logically compatible OLAP model and we help you with the migration - Continue using Excel and other XMLA / MDX clients - Deployment liberty (available as a docker) - On-the-fly dynamic MDX security, up to cell-level detail - Modern OLAP features: - 100+ new MDX functions - Categories - Subcubes - Native Java integration Patented MDX debugger And more The cherry on top: icCube comes with a web-based embeddable BI solution.
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    Starting Price: $20,000/year
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  • 2
    StarTree

    StarTree

    StarTree

    StarTree, powered by Apache Pinot™, is a fully managed real-time analytics platform built for customer-facing applications that demand instant insights on the freshest data. Unlike traditional data warehouses or OLTP databases—optimized for back-office reporting or transactions—StarTree is engineered for real-time OLAP at true scale, meaning: - Data Volume: query performance sustained at petabyte scale - Ingest Rates: millions of events per second, continuously indexed for freshness - Concurrency: thousands to millions of simultaneous users served with sub-second latency With StarTree, businesses deliver always-fresh insights at interactive speed, enabling applications that personalize, monitor, and act in real time.
    Starting Price: Free
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