Run More Queries with Less Hardware
In the age of Big Data, overreliance on RAM resources can be a costly matter. Sisense aims to provide organizations with a solution that can scale to terabytes without requiring additional investment in hardware. This is achieved by making optimal use of all existing computational resources: storage, RAM and CPU.
Watch to learn more:
0:05 – 3:55 Explanation
4:00 – 5:30 Demo of In-Chip Technology
Easily Manage Complex Data without Relying on IT
Sisense’s unique back-end lets non-technical users grab the reins of the data preparation process via a simple drag-and-join interface. By performing row level joins and utilizing a columnar database, the ElastiCube provides a strong, fast, and scalable solution that retains the full granularity of the data and lets you combine data sources with the blink of an eye.
See it in action:
0:05 – 2:25 Explanation
2:30 – 6:00 Demo of ElastiCube
Adding Users Improves Performance
The axiom most BI developers swear by is that more users mean either slower performance or hardware upgrades. Sisense does things different: by breaking queries into micro-blocks and reusing these chunks, it manages to break this mold and actually improve performance as the number of concurrent users increase.
See how it’s done:
0:05 – 3:20 Explanation
3:25 – 5:00 Demo of CrowdSpeed
Learn more about ElastiCube and In-Chip analytics:
Get the free whitepaper:Innovations in Business Intelligence Database Technology
What Customers are Saying
Watch these real testimonials from Sisense users.
Between Vertica and Tableau, Sisense Is Taking Big Data Analytics by Storm
Sisense bridges the gap between traditional, full-stack tools that are expensive and cumbersome, and more modern visualization tools that, while business friendly, lack the powerful technology on the back-end to crunch big data sets.
Sisense Is Creating a Stir in the World of BI
Sisense crunch and visualize a terabyte of data using only a sub-$1,000 laptop with 8GB of RAM.