Sparkline SNAP

The fast OLAP datawarehouse on Spark


Speed and Scale

Query terabytes of data in seconds and present it to your visualization tools like Tableau. It works with Spark SQL and can support hundreds of concurrent users.

Ad-Hoc Slice and Dice

Query slices of very large datasets and drill down on dimensions in the datasets with interactive response times. Perform aggregations on the fly and keep data at its lowest grain eliminating extracts and summary tables.

Query data in S3/HDFS

Query data on S3 or HDFS. Deploy on EMR or HDP clusters with Spark. Move data from legacy MPP or other datawarehouses into S3/HDFS and accelerate queries with Sparkline.

Bigdata

Interactive B.I using Tableau on terabyte scale data

SparklineData’s Accelerator enables interactive fast analysis on Spark, bringing think time BI to Big Data

Using Tableau with SparklineData

Leverage the power of Spark and Druid

Multi-terabyte B.I is a challenge. The big data landscape has changed so much for the better over the last several years but slice and dice queries and standard B.I analysis using tools like Tableau on terabyte scale live data is still a challenge.

See how you can leverage Tableau with Sparkline using a sample demo data.