Real-time Analytics, Simplified
Run even the most complex of queries on live data in milliseconds, unlocking faster insights for you and your customers.
Real-Time Insights
Deliver real-time, user-facing analytics without added complexity
Sophisticated SQL
Make sophisticated SQL queries truly interactive without manual result caching
Always-Fresh Dashboards
Power operational dashboards with always-fresh live data
Seamless Integration
Seamlessly integrate with your existing connectors, applications, and reporting tools
Best-In Class Performance
10000%
faster than PostgreSQL on
analytical queries
200%
faster than ClickHouse on
their own benchmark
200%
faster than Industry Standard Databases for real-time workloads
Solution
No need for
Compromises
Without CedarDB
My current stack is too slow to be truly interactive
With CedarDB
CedarDB makes even the most complex workloads fully interactive. Whether you're working with hundreds of columns or scanning billions of tuples.
Without CedarDB
Complex queries are too slow in my current setup
With CedarDB
CedarDB's advanced join optimizer and statistics engine ensures the most efficient execution plan, even for queries on hundreds of tables.
Without CedarDB
My data is outdated once it reaches the data warehouse
With CedarDB
CedarDB processes millions of inserts per second for immediate insight - all your data is available to your analytic queries the moment it arrives.
Integrate CedarDB
into any Stack
Leverage PostgreSQL bindings or ORMs for ultra-low-latency SQL queries. Perfect for interactive, user-facing analytics.
Seamless compatibility with Grafana, Tableau, and other leading BI tools.
Explore your data interactively with complex, on-the-fly SQL queries. No pre-aggregation required.
Insert, update, or delete data directly from your favorite tools and programming languages through PostgreSQL bindings
Work with external data locally and in the cloud. Whether you import them or use them as an external source
Capture live events via Change Data Capture (CDC) with tools like Debezi-um or any PostgreSQL-compatible source.
Read more in the CedarDB Blog
February 11, 2026
Parquet as our 'Ski Lift' to Migrate from ClickHouse to CedarDB
Stack Overflow data, combined with the Parquet format, helps illustrate how easy it is to transition to CedarDB when query complexity overwhelms ClickHouse.
January 29, 2026
Efficient String Compression for Modern Database Systems
Since version v2026-01-22, CedarDB applies a quite novel compression scheme called FSST to its text columns, allowing to halve their storage size while making queries faster. In this blog post, we cover how we achieved this by sharing implementation details and insights into the trade-offs and implications of integrating FSST.
December 17, 2025
Stop Nesting Database Systems
Using database systems to speed up data analysis in other applications is nothing new. However, there is a surprising trend: Analytical engines are being embedded in transactional systems. Is that really a good idea?