Sparkline SNAP

Introducing Sparkline SNAP: An Integrated OLAP platform on Spark

SparklineData SNAP platform is a modern B.I platform geared for analysis on very large datasets across SQL and non-SQL workloads. The SNAP platform is designed to

  1. Accelerate: Think time response for queries ( SQL and more) on Hadoop/S3 datasets.
  2. Automate : Full management of data and indexes to eliminate manual extracts and management for ad-hoc analysis.
  3. Adapt : Most products are built with static optimization. Organization grow and analysis need change with new queries, new data and new use cases. SNAP adapts on the fly by “learning” what questions are asked and continuously optimizes for performance.


SNAPs are indexes on your structured data. An in-memory OLAP Index is the fastest way for analyzing billions of rows of multi-dimensional data. The SNAP OLAP Index is the first type of index from SparklineData, designed to provide lightning fast response times for business OLAP/B.I queries as well as machine learning and AI workloads on Spark.

The AMP Accelerator.

AMP is our core engine on Spark that optimizes and translates queries to utilize SNAPs for ultra fast results. It runs as a native Spark application and is designed to handle high concurrency queries on large multi-dimensional datasets.

Watch demo videos

See videos on querying 100 million row datasets on Tableau and Zeppelin

Learn more about SNAP

Access our documentation and contact us to experience SNAP on your own dataset