ParStream develops a data analytics platform that uses bit-map indexes to compress data so it can be read very quickly while residing in memory across a distributed infrastructure. The technology is designed to enable analysis of very large datasets, including use cases like telecoms analyzing data at the base station rather than aggregating centrally. ParStream emphasizes high-speed, in-memory query performance and distributed deployment to support precise, low-latency analytics. The company partnered with Panopticon to integrate data analytics with visualization capabilities. ParStream competes with players such as MapR (analytics on Hadoop). As of this round the company has raised $13.6M in total funding. It was founded in 2008 in Germany and maintains offices in Cologne and Palo Alto. ParStream's core product is an in-memory, columnar analytics engine that uses bitmap indexes and compression to enable massive parallel processing and real-time query response. The platform stores data in columns and analyzes compressed, smaller data pieces rather than relying on Hadoop. The company targets large, append-only data use cases such as web analytics, fraud prevention, online advertising, telco billing, smart metering, and sensor network analysis. ParStream raised a $5.6M Series A to further extend its big-data analysis technology. CEO Joerg Bienert has emphasized the platform's focus on real-time analytics over Hadoop-based approaches. Founded in 2008 and formerly Germany-based, ParStream now keeps offices in Cologne and Palo Alto and is viewed as a potential acquisition target competing with HP’s Vertica and EMC’s Greenplum.

Total raised

$14M

Funding rounds

2

Latest round

Series B

Latest activity

Oct 2013