The Co-Founder of Preferred Alternative Database, Citus

#29 - Umur
Citus Data offers solutions that empower real-time big data by scaling out PostgreSQL. The CitusDB database powers both real-time operational and analytic workloads across hundreds of billions of events and supports both structured and JSON data. Citus Data also offers pg_shard, an open source extension for sharding and scaling out PostgreSQL across a highly available cluster of commodity servers, and cstore_fdw, an open source extension for creating columnar PostgreSQL tables for a reduced storage footprint. Citus Data is a Y Combinator alumnus and is backed by investors that include Khosla Ventures, Data Collective, and SV Angel.
In October 2015, Citus Data, announced it had secured $9.5 million in Series A funding led by Khosla Ventures, with participation by previous Citus Data investors including Data Collective and Vaizra Investments. Çubukcu says: “Customers want a simple way to build real-time big data applications, without sacrificing relational power – and we enable them to do that without breaking the bank. With the ever increasing growth rate of data and strong PostgreSQL adoption, we are in a great position to provide unique solutions for managing and analyzing big data. CitusDB will become a preferred alternative over current technologies in many use cases.”
In October 2015, Citus Data, announced it had secured $9.5 million in Series A funding led by Khosla Ventures, with participation by previous Citus Data investors including Data Collective and Vaizra Investments. Çubukcu says: “Customers want a simple way to build real-time big data applications, without sacrificing relational power – and we enable them to do that without breaking the bank. With the ever increasing growth rate of data and strong PostgreSQL adoption, we are in a great position to provide unique solutions for managing and analyzing big data. CitusDB will become a preferred alternative over current technologies in many use cases.”
Last modified onSaturday, 06 May 2017 10:07
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