Cloud Native |Â Highly PerformantÂ | Massively Scalable
Overcome BI Challenges of:
Decisions based on Sample data
Inability to go Granular
With Kyvos Smart OLAPâ„˘ technology, you can build a Single Cube of Truth, even on trillions of rows, drill to transaction level and still get interactive responses.
Billions & Trillions of Rows
Why Smart OLAPâ„˘
BUILT FOR THE CLOUD.
Scale your BI to meet ever-growing business needs on the cloud with its elastic, self-learning, low on compute, and high on re-usability features.
MAKING THE COMPLEX SIMPLE.
Handle complex data models, integrate with data science products, and solve real-world data and BI challenges.
HIGH ON SCALE & PERFORMANCE.
Stop worrying about combinatorial explosion. As the number of dimensions increase, the cross-combinations multiply, resulting in a combinatorial explosion that becomes unmanageable in terms of resources and storage capacity. With its patented technology, Kyvos contains this even for large and complex data sets with hundreds of dimensions and attributes, making it far superior to any other OLAP engine. Build aggregates on billions of rows across hundreds of dimensions and measures, and slice-and-dice, drill-down, and roll-up in seconds.
EMBEDDED INTELLIGENCE. SMART AGGREGATES.
Intuitively and visually design and build cloud OLAP models. Itâ€™ll keep learning on the job with ML-powered Smart Recommendation Engine Provides intelligent recommendations based on data profile and query patterns, making it easy for you to optimize cube designs without the need for technical expertise.
How is Smart OLAPâ„˘ better than Legacy OLAP
Sub-second responses for queries
Deteriorates with scale and concurrency
Build on trillions of rows.
Limitation on amount of data a single cube can hold.
Thousands of concurrent users.
Slows down for higher concurrencies.
ML-powered intelligent aggregates.
Manual tuning required to decide which aggregates to create.
Quick and easy cube building.
Cube build takes longer and consumes more resources as data size increases.
Purpose built for the Cloud. Also supports on-premise.
Built for on-premise. Has to be retro-fitted in the cloud.
Migrate your legacy platforms to next-gen cloud-native OLAP
Quick migration | Automated utility | Unlimited scalability
Benefits of Smart OLAPâ„˘
- Pre-aggregation minimizes redundant processing and reduces querying costs
- Turbocharged BI ToolsSupports all major BI tools such as Tableau, MicroStrategy, Excel, Looker, Power BI, Business Objects, Cognos, and Spotfire. The same queries that took minutes and hours earlier, return in sub-seconds. with high responsiveness at scale
- Intelligent aggregation based on the query patterns for optimizing designs
- Advanced data modelingAdvanced data modeling features help build complex logical hierarchies, without compromising on performance. Smart OLAPâ„˘ supports recursive, unbalanced, ragged, and alternate hierarchies, custom rollups as well as massively scalable accurate distinct count on billions of transactions. capabilities to map complex business use cases
Advanced OLAP Features
Support for multi-fact, star, snowflake, and other schema designs, as well as additive and semi-additive functions.
Scheduled and automated incremental build for adding and replacing data without coding or manual intervention.
Advanced caching features – auto-population, purge, and repopulation. Multi-level caching based on query patterns and usage.
Workflow-based quick analysis to design an OLAP model with minimal interaction and bootstrapping work.
Robust querying mechanism intelligently routes, serving queries within seconds.
Global Fintech Company Eliminates Analytical Silos with Smart OLAPâ„˘
Consolidated reporting across geographies, merchants, and data…
Global Bank Transforms Financial Analytics with Smart OLAPâ„˘
Learn how they deliver MD&A for their C-suite and enable quick…
Hear from our Customers
Kyvos reduced our time to insight dramatically, helping us analyze billions of rows of data quickly and thatâ€™s the biggest benefit for Walgreens. We are now able to drill down to details on the fly to support our day to day business.Mahek ParikhData Scientist, Walgreens
Kyvos semantic layer helped us stitch all our data together and enable self-service BI for our business users. Now, they can slice and dice in pretty much any combination they want within sub-seconds.Mark PiconeVP, Info. & Data Services, Adobe
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