Kyvos logo

Kyvos

BI acceleration platform for the cloud and on-premise data lakes
0
0
+ 1
0

What is Kyvos?

It is the world鈥檚 most powerful BI acceleration platform that delivers instant insights at petabyte scale, both on the cloud and on-premise data lakes. Our breakthrough OLAP technology revolutionizes analytics by enabling users to visualize, explore, and analyze massive volumes of data with sub-second response times.
Kyvos is a tool in the Business Intelligence category of a tech stack.
Pros of Kyvos
Be the first to leave a pro

Kyvos's Features

  • Semantic layer powered by next-generation OLAP
  • Instant responses at massive scale
  • Scale-out architecture for concurrent access
  • Support for all modern data platforms, both on the cloud and on-premise
  • Support for all BI tools and data science engines
  • Enterprise security features with row and column level security

Kyvos Alternatives & Comparisons

What are some alternatives to Kyvos?
AtScale
Its Virtual Data Warehouse delivers performance, security and agility to exceed the demands of modern-day operational analytics.
Snowflake
Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)鈥攏o infrastructure to manage and no knobs to turn.
Tableau
Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
Metabase
It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.
Metabase
It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.
See all alternatives