Billions of rows. Sub-second answers.
A next-generation analytics platform purpose-built for ultra-fast, scalable insights across massive datasets — ranging from millions to billions of rows.
Designed for real-time decision-making, MONZA delivers results at the speed of thought — enabling users to explore, analyze, and act on data instantly.
Billions of rows. In motion.
A walkthrough of the columnar engine and virtualized OLAP cube in action — slice, dice, drill, and answer at the speed of thought.
MONZA transforms relational OLAP databases into multidimensional cube structures optimized for user workflows. OLAP cubes deliver superior performance and usability, with built-in hierarchies for efficient data navigation.
Relational power. Multidimensional usability.
Built with a dual-technology core and integrated with Kainam's AI at its heart to enable real-time decision-making.
Columnar relational engine
A highly-tuned, columnar relational database optimized for large-scale data operations. SIMD acceleration, advanced compression, parallel execution.
Virtual multidimensional OLAP cube
A virtualized cube layer that translates high-level business queries (MDX) into efficient SQL for execution by the database engine — no physical pre-aggregation required.
What MONZA delivers. Out of the box.
Sub-Second Query Response
Lightning-fast results on complex analytical queries over billions of rows — perfect for interactive dashboards, reports, and ad-hoc exploration.
MDX-to-SQL Translation Layer
Analysts write intuitive multidimensional queries; MONZA automatically translates and optimizes them into fast, efficient SQL.
Columnar Storage Engine
Columnar storage, SIMD acceleration, advanced compression and parallel execution — maximum performance on large datasets.
Virtual Cube Design
The OLAP cube layer is virtualized — no physical pre-aggregation. Flexibility in modeling and fast iterations without expensive rebuilds.
Real-Time Drilldowns
Slice, dice, pivot, and drill through vast datasets with zero-latency interaction. Instant access to the answers behind all your data.
No ETL Bottlenecks
MONZA works directly on your native schema — no need to reshape or move data into cube-specific formats. Saves time, reduces complexity.
Most platforms force a trade-off. MONZA brings both.
Relational databases are the industry standard for storing large-scale, normalized datasets with strong consistency, indexing, and transactional reliability.
Multidimensional cubes are intuitive for users exploring data across dimensions like time, geography, product, and customer — especially when doing comparative or trend analysis.
By combining the two, you get enterprise-grade performance and scalability from the columnar backend, along with intuitive OLAP-style interactivity that empowers business users — eliminating the trade-off between expressiveness and performance.
Queried in under two seconds on commodity hardware.
Zero-latency slice-and-dice experience across virtual cubes.
Seamless integration with BI tools and custom applications.
What teams are running on MONZA today.
- 01Enterprise Business Intelligence at scale.
- 02Interactive dashboarding over billions of rows.
- 03Native time-series and cohort analysis.
- 04Financial and operational reporting.
- 05Real-time what-if scenario modeling.
- 06Embedded analytics for customer-facing apps.
Why MONZA is more scalable and cost-effective than legacy cubes.
- Dependence on vendor-specific infrastructure and toolchains.
- Static cube designs requiring pre-aggregation and manual rebuilds.
- Slow refresh cycles, high latency on large datasets.
- Complex ETL pipelines and rigid schema transformations.
- High costs and long-term vendor lock-in.
- Limited readiness for AI or cloud-native integration.
Ready to go beyond cubes?
MONZA redefines OLAP for the modern data era. Whether you're modernizing legacy cubes, accelerating SQL reporting, or empowering your analytics team with self-service capabilities at scale, MONZA is your zero-latency, multidimensional powerhouse.