Lynch joined as Chairman and CEO in 2010 and was responsible for Vertica's acquisition by Hewlett Packard in March 2011.[3][4] The acquisition expanded the HP Software portfolio for enterprise companies and the public sector group.[5] As part of the merger of Micro Focus and the Software division of Hewlett Packard Enterprise, Vertica joined Micro Focus in September 2017.[6] As part of OpenText acquisition of Micro Focus, Vertica joined OpenText in January 2023.
Products
The column-oriented Vertica Analytics Database was designed to manage large, fast-growing volumes of data and with fast query performance for data warehouses and other query-intensive applications. The product claims to greatly improve query performance over traditional relational database systems, and to provide high availability and exabyte scalability on commodity enterprise servers. Vertica runs on multiple cloud computing systems as well as on Hadoop nodes. Vertica's Eon Mode separates compute from storage, using S3 object storage and dynamic allocation of compute notes.[7]
Vertica's design features include:
Column-oriented storage organization, which increases performance of sequential record access at the expense of common transactional operations such as single record retrieval, updates, and deletes.[8]
Massively parallel processing (MPP) architecture to distribute queries on independent nodes and scale performance linearly.
In 2018, Vertica introduced Vertica in Eon Mode, a separation of compute and storage architecture. The Eon architecture allows for elastic increase and decrease in compute capability as needed for workload elasticity. It also allows instantiation of multiple isolated sub-clusters dedicated to different workloads while maintaining a single shared data repository. It operates on shared object storage in the cloud, and also runs on object storage compatible hardware on-premises for private cloud implementations.
Version 10.1.1 of Vertica introduced Docker and Kubernetes support.[18]
Many BI, data visualization, and ETL tools work with Vertica Analytics Platform. Vertica supports Kafka for streaming data ingestion.
In 2021, Vertica released a connector for Spark.[19]
Vertica also integrates with Grafana, Helm, Go, and Distributed R.[20]
Company events
In January 2008, Sybase filed a patent-infringement lawsuit against Vertica.[21] In January 2010, Vertica prevailed in a preliminary hearing,[22] and in June, 2010, Sybase and Vertica resolved the suit, with the court dismissing all infringement claims.[23]
Since 2013, Vertica has held an annual user conference, now called Vertica Unify.[24]
References
^Network World staff: "New database company raises funds, nabs ex-Oracle bigwigs", [1]LinuxWorld, February 14, 2007
^Brodkin, J: "10 enterprise software companies to watch", [2]Archived 2007-05-18 at the Wayback MachineNetwork World, April 11, 2007
^Prasad, Shreya; Fard, Arash; Gupta, Vishrut; Martinez, Jorge; LeFevre, Jeff; Xu, Vincent; Hsu, Meichun; Roy, Indrajit (2015). "Enabling predictive analytics in Vertica: Fast data transfer, distributed model creation and in-database prediction". ACM SIGMOD International Conference on Management of Data.
^Stonebraker, Mike; Abadi, Daniel J.; Batkin, Adam; Chen, Xuedong; Cherniack, Mitch; Ferreira, Miguel; Lau, Edmond; Lin, Amerson; Madden, Sam; O'Neil, Elizabeth; O'Neil, Pat; Rasin, Alex; Tran, Nga; Zdonik, Stan (2018). "C-store: a column-oriented DBMS". In Brodie, Michael L. (ed.). Making Databases Work: The Pragmatic Wisdom of Michael Stonebraker. Association for Computing Machinery/Morgan & Claypool. pp. 491–518. doi:10.1145/3226595.3226638. ISBN9781947487192. S2CID3439184.
