Greenplum
Greenplum52Greenplum
Open-source, massively parallel processing SQL database for big data analytics and data warehousing.
About
What does Greenplum do?
Greenplum is a distributed, open-source, massively parallel processing (MPP) SQL database built on PostgreSQL. It is designed for high-speed processing of large datasets, making it suitable for data warehousing, big data analytics, and machine learning applications.
What is Greenplum's revenue?
StartupHub estimates Greenplum's annual revenue at $3.3M (range $1.6M to $7.8M, 28% confidence), based on comparable companies in the sector.
What is Greenplum's valuation?
StartupHub estimates Greenplum's effective valuation at $126.4M (range $85.0M to $204.0M, 10% confidence), based on comparable companies in the sector.
How much funding has Greenplum raised?
Greenplum has raised a total of $34M in funding. The most recent round on record is Series B.
When was Greenplum founded?
Greenplum was founded in 2003.
What industry does Greenplum operate in?
Greenplum operates in Database, Data Warehousing, Big Data Analytics, Open Source, SQL, PostgreSQL.
“I've been a full-time C++ dev for last 15 years developing small custom C++ DBMS for companies like Facebook's / Amazon / Twitter. The systems like specific data storages - custom-made redis-like systems or kafka-like systems with sharding…”
View on Reddit“So, a technical recruiter reached out to me with an opportunity to work on some Greenplum fork. At fir”
View on Reddit“apache/cloudberry: One advanced and mature open-source MPP (Massively Parallel Processing) database. Open source alternative to Greenplum Database.”
View on Reddit“Hello there!) I have self defined UDFs, written by C++17, compiled with libstdc++.so.6.0.29 . Target Greenplum is 6.18.2 (Postgres base is 9.4.26). When GP load my custom .so, containing UDFs, I get the following error: psql:/opt/protector_…”
View on RedditSome comments are pulled from public discussions around the web (look for the source icon). Quotes are excerpts; click through to read the full thread.