Use Tableau at 10-100x the speed of other options on Hadoop/Spark/S3. Query on billions of rows live and use all the functions and capabilities you are used to with Tableau.
Use Cases Tableau
Why connect Tableau through SparklineData?
SparklineData provides a query acceleration layer using Spark and OLAP Indexing, enabling Tableau users to use Spark SQL and yet obtain the benefits of query response times 30-40 times from just using Spark.
How does SparklineData make Tableau queries faster?
Users of Tableau connecting to any backend datasources in “live” mode such as Hive, Spark or MPP databases and querying on large datasets run into performance bottlenecks. For a typical B.I use case, users need fast drill down, slice and dice and looking at multiple dimensions.
SparklineData sits between Tableau and the backend datasource accelerating queries making Tableau users more productive.
How do I deploy SparkineData
SparklineData can work with your dataset and showcase in days a proof of concept. Please contact us for a personalized demo.
How can I see a demo?
How long does it take to deploy Sparkline
It is very easy to get started with Sparkline. We can set up a personalized POC within a day or two. Depending on your dataset and the scale of your project the work is primarily around determining the kind of workload and indexes needed.