Accelerating Analytics on Trillions of Rows with Smart OLAP
Transform your Google Cloud platform into an analytical powerhouse by building an OLAP-based BI acceleration layer directly on your cloud data lake. Eliminate the limitations of traditional OLAP and achieve high-performance, multi-dimensional BI on the cloud using a BI tool of their choice.
Unmatched Performance
Query trillions of rows of data in sub-seconds
BIG DATA Scale
Analyze as much data as needed, across hundreds of dimensions and measures
Seamless Autoscaling
Quickly scale your analytics up and down based upon the expected loads
No need to invest in new BI tools
Native visualization tool plus integration with popular BI tools)
Power your existing BI Tools for high performance on massive data workloads
Enterprise-grade Security
Secure BI with no need to move data out of your storage layer
High Concurrency
Enable access to thousands of users without any impact on performance
Unmatched Performance at a Massive Scale
Enable interactive BI on trillions of rows of data on your Google storage for users across your enterprise. With Kyvos, your users can use any BI tool they like for cloud analytics, but with much higher performance. They can create summary reports on years of enterprise data or deep dive into the most granular details, all within seconds.
Smart OLAP on Google Cloud
Kyvos leverages the compute and storage capacity of the Google Cloud Platform to build massively scalable cubes on the cloud. Our Smart OLAP technology enables aggregation at a scale that is not possible to achieve using traditional OLAP solutions. As all the combinations are processed in advance, you get instant responses to queries across hundreds of dimensions and measures.
Power your Existing BI Tools
Use your existing BI tools for big data analytics on Google Cloud, but with much higher performance. Kyvos supports all major BI tools, including Business Objects, Cognos, Excel, MicroStrategy, Power BI, Qlik, Spotfire, and Tableau, as well as for analytics tools like R and Python.
Autoscaling Saves Costs
Scale analytics up and down without disruption to deliver consistent performance during spikes and shrink costs during lean periods. Depending upon the load, you can schedule your querying capacity to scale up automatically to deal with peak loads, and then scale down to release cloud resources when they are not needed.
Secure Access to Cloud Data
Enterprise-class data security at multiple levels, including row and column level security, ensures that users only see what they are authorized to see. With no data movement, Kyvos maintains the native data security layer through the cubes at the storage layer itself. The Kyvos cubes are stored and cached on GCP for faster access.
Modern Architecture Enables Deep Integration with Google Cloud Platform
Kyvos bridges the gap between your BI tools and Google Cloud Storage, enabling users to access extremely large datasets seamlessly with interactive response times. The separation of storage and compute layers enables easy scaling and ensures optimal utilization of resources.
Kyvos Datasheet: BI Acceleration on Trillions of Rows
Kyvos bridges the gap between your BI tools and the data stored on Google Cloud, enabling users to access massive datasets seamlessly with sub-second responses. The separation of storage and compute layers enables easy scaling and ensures optimal utilization of your resources. Download our datasheet to learn how our OLAP solution delivers fast, cost-effective analytics on Google Cloud.