Turbocharge Tableau with Exasol
If your BI is slowing you down, it may be time to look at your database. Exasol can help.
The wrong database and lack of source consolidation can cost you when it comes to Tableau.
Slow visualizations and staff time lost parsing data are common pain points you don’t have to live with. Here are some Tableau issues we hear from clients before switching to Exasol, and how our technology can help.
Slow data loading
Sluggish rendering of visualizations
Difficulty scaling to more users
Inconsistencies in data governance
Exasol in-memory algorithms process 100s of TBs of data in seconds
Massively Parallel Processing (MPP) distributes data across a cluster’s nodes
Columnar storage reduces the number of I/O operations and amount of data needed for processing in main memory
Piedmont & Dailymotion transform Tableau with a move to Exasol
2M PATIENTS. 30 DATA SOURCES. 40% HARM REDUCTION.
Piedmont Healthcare set an ambitious goal to reduce infections across its 11 Atlanta-area hospitals. With 2 million patients – and 555 billion data points from 30 sources – its MS SQL Server system couldn’t scale. Exasol sped up Tableau to get the right data to hospital decision makers and reduce harm by 40%.
3.5 BILLION VIDEOS. 100GB UNCOMPRESSED DATA EVERY HOUR. 10X QUERY SPEED.
With 300 million users and 3.5 billion videos each month, Dailymotion ran into problems with their Hadoop database during a move to B2B content. VP of Data Engineering and Machine Learning Philippe Girolami turned to Exasol’s MPP to improve Tableau performance. With 3 Terabytes in the database, Dailymotion can refresh 100 GB of uncompressed data every hour.