Basho Technologies, Inc

General Information
Company Name
Basho Technologies, Inc
Founded Year
2008
Location (Offices)
Bellevue, United States
Founders / Decision Makers
Number of Employees
10
Industries
Data Analytics, Enterprise Software
Funding Stage
Series G
Social Media

Basho Technologies, Inc - Company Profile

Basho Technologies, Inc. is a leading developer of Riak, an open-source distributed database known for its extreme high-availability, fault-tolerance, and operational simplicity. Since its inception in 2008 and drawing inspiration from the Amazon Dynamo paper, the company has rapidly gained adoption, notably among the Fortune 100 companies. With over 100 employees, Basho has built one of the largest engineer pools dedicated to distributed systems software. The company offers OS and commercial editions of Riak, with Riak KV Enterprise providing additional features such as multi-data center replication and 24×7 customer support. Furthermore, the launch of Riak S2 in 2012 aimed to aid customers in building public and private cloud storage platforms. Notably, their 2015 launch of the Basho Data platform has integrated Riak KV and Riak S2 with Apache Spark, Redis, and Apache Solr, simplifying the process of building and deploying active workloads in Big Data applications. 2015 also witnessed the introduction of Riak TS, a distributed NoSQL database optimized for time series data. This database is engineered for faster reads and writes, making it easier to store, query, and analyze time and location data. The last investment, a $25.00M Series G funding, was secured on 13 January 2015 from Georgetown Capital Partners. With its focus on Big Data, Cloud Infrastructure, and Enterprise Software, and its headquarters in the United States, Basho Technologies is positioned as a significant player in the database industry with immense potential for continued growth and innovation.

Taxonomy: distributed database, NoSQL, high availability, fault tolerance, operational simplicity, multi-data center replication, cloud storage, Big Data applications, Apache Spark, Redis, Apache Solr, time series data, scalability, open-source software, data platform

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