Vertica

Vertica is an analytical database software brand designed for organizations that need to store, process, and analyze large volumes of structured and semi-structured data. Its core architecture combines column-oriented storage with massively parallel processing (MPP), distributing data and query execution across clusters of nodes. This design is intended primarily for analytical workloads such as reporting, business intelligence, data warehousing, event analysis, and machine-learning preparation rather than high-volume transactional processing involving frequent single-row updates. The technology originated in the C-Store research project, a column-oriented database initiative associated with Michael Stonebraker and academic collaborators. Vertica was founded in 2005, with Andrew Palmer serving as its first chief executive officer. The company developed C-Store's research concepts into a commercial analytical database that could run on clusters of commodity servers and later on public-cloud and private-cloud infrastructure. Columnar organization permits values from the same field to be stored together, generally improving compression and scan efficiency for queries that examine selected columns across many records. Vertica also batches updates and uses query optimization, workload management, replication, recovery, and storage-optimization capabilities to support enterprise-scale deployments. The platform exposes a standard SQL interface and includes specialized functions for time-series analysis, event-based windowing, sessionization, pattern matching, event-series joins, statistical analysis, and geospatial workloads. It also provides in-database machine-learning capabilities, allowing users to train and apply models without exporting data or reducing it to a smaller sample. Supported techniques described for the platform include regression, logistic regression, clustering, Naive Bayes classification, random forests, XGBoost, and support-vector machines. Models can be deployed across multiple database clusters. Vertica has evolved from a primarily appliance- and server-cluster-oriented database into a platform supporting on-premises installations, private clouds, public clouds, containers, and object-storage architectures. In 2018, it introduced Eon Mode, which separates compute resources from shared object storage. This enables compute capacity to be expanded or reduced independently of the underlying data and permits separate subclusters to serve different workloads while using a common repository. Later releases added or expanded support for Docker and Kubernetes, Apache Kafka, Apache Spark, Hadoop and HDFS, Grafana, Helm, Go, and distributed R tooling. The brand's corporate ownership changed several times. Hewlett-Packard acquired Vertica in March 2011 and incorporated it into HP Software. After the 2017 combination of Hewlett Packard Enterprise's software business with Micro Focus, Vertica became part of the Micro Focus product portfolio. OpenText acquired Micro Focus in January 2023, bringing Vertica into OpenText's information-management and analytics holdings. The supplied reference material states that Rocket Software acquired Vertica from OpenText in May 2026 as part of Rocket's expansion in data, analytics, and modernization; this transaction is therefore recorded as the latest ownership event in the dossier. Vertica's positioning remains centered on scalable SQL analytics, cloud flexibility, embedded machine learning, and integration with modern data-engineering and visualization ecosystems.

Vertica emerged from the C-Store research project, an academic effort focused on column-oriented database design. Conventional relational databases commonly organize records by row, which is useful for transactional operations but can require reading substantial amounts of irrelevant data during analytical queries. C-Store explored storing values by column instead, allowing analytical systems to scan only the fields needed for a query and to compress similar data efficiently. The project was associated with database researcher Michael Stonebraker and academic collaborators, and its work was published in 2005. Vertica was founded in 2005 to commercialize these ideas. Andrew Palmer served as the company's first chief executive officer. The commercial platform was designed as a distributed analytical database rather than a general-purpose transactional system. It used columnar storage, parallel query execution, and clusters of servers to support large-scale warehousing and reporting workloads. The system could run on commodity hardware and was intended to improve analytical performance while reducing the infrastructure needed for comparable workloads. The platform's architecture combined column storage with massively parallel processing. Data and computation could be distributed among multiple nodes, allowing independent portions of a query to execute concurrently. Vertica also developed compression, query-planning, workload-management, replication, recovery, and storage-optimization functions around this core design. Its SQL interface was supplemented by time-series, statistical, event-processing, pattern-matching, and geospatial capabilities. Over time, machine-learning algorithms were added directly inside the database so that users could train and score models without moving data to a separate system. Corporate ownership changed in 2011, when Hewlett-Packard acquired Vertica in March and incorporated the technology into HP Software. The acquisition gave Vertica access to a large enterprise-software organization and broadened its role as an analytical database product. In 2017, the software business associated with Hewlett Packard Enterprise was combined with Micro Focus, and Vertica became part of the resulting Micro Focus product portfolio. A major architectural development arrived in 2018 with Eon Mode. Earlier database deployments generally tied storage and processing capacity more closely together. Eon Mode placed data in shared object storage while allowing compute resources to be added, removed, or organized into separate subclusters. This separation supported more elastic cloud operation and allowed different workloads to use isolated compute environments while accessing a common data repository. The model could also be implemented with compatible object storage in private-cloud environments. Vertica subsequently expanded its ecosystem. The platform supported Apache Kafka for streaming ingestion, Apache Spark for distributed processing, Hadoop and HDFS environments, containerized deployment through Docker and Kubernetes, and visualization or operational tools including Grafana. Version 10.1.1 introduced Docker and Kubernetes support according to the supplied reference material. A Spark connector followed in 2021. These integrations positioned Vertica within broader data-engineering, business-intelligence, and cloud-native workflows rather than as a standalone warehouse appliance. Vertica was involved in patent litigation initiated by Sybase in January 2008. Vertica prevailed in a preliminary hearing in January 2010, and the dispute was resolved in June 2010 when the court dismissed the infringement claims. Beginning in 2013, the company hosted an annual user conference for customers, partners, and developers; the event was later branded Vertica Unify. OpenText acquired Micro Focus in January 2023, making Vertica part of OpenText's portfolio. The supplied reference material further reports that Rocket Software acquired Vertica from OpenText in May 2026. Under the latest reported ownership, Vertica is positioned within Rocket Software's data, analytics, and modernization activities. Its enduring product identity is that of a scalable SQL analytics platform emphasizing columnar execution, distributed processing, cloud flexibility, integrated machine learning, and connections to contemporary data platforms.

• 2026

  Reported acquisition by Rocket Software

  [1]Verticaen.wikipedia.org

  The supplied reference material reports that Rocket Software acquired Vertica from OpenText in May 2026.

• 2023

  Becomes part of OpenText

  [1]Verticaen.wikipedia.org

  OpenText's acquisition of Micro Focus brought Vertica into the OpenText portfolio.

• 2021

  Spark connector released

  [1]Verticaen.wikipedia.org

  Vertica released a connector for Apache Spark.

• 2018

  Eon Mode introduced

  [1]Verticaen.wikipedia.org

  Vertica introduced a compute-storage separation architecture based on shared object storage and elastic compute resources.

• 2017

  Moves into the Micro Focus portfolio

  [1]Verticaen.wikipedia.org

  Vertica became part of Micro Focus after the combination of the relevant Hewlett Packard Enterprise software business with Micro Focus.

• 2013

  Annual user conference begins

  [1]Verticaen.wikipedia.org

  Vertica began hosting an annual conference for customers, partners, and developers; the event was later known as Vertica Unify.

• 2011

  Acquired by Hewlett-Packard

  [1]Verticaen.wikipedia.org

  Hewlett-Packard acquired Vertica in March and placed it within HP Software.

• 2010

  Patent dispute resolved in Vertica's favor

  [1]Verticaen.wikipedia.org

  Vertica prevailed at a preliminary hearing in January, and the claims were dismissed after the parties resolved the case in June.

• 2008

  Sybase files patent lawsuit

  [1]Verticaen.wikipedia.org

  Sybase filed a patent-infringement action against Vertica.

• 2005

  Vertica founded

  [1]Verticaen.wikipedia.org

  Vertica was founded to commercialize technology originating in the C-Store column-oriented database research project.

An enterprise analytical database platform positioned around high-performance SQL analytics, columnar compression, distributed execution, elastic cloud deployment, and machine learning performed directly where data is stored.

• Analytical database

  Vertica Analytics Platform

  Vertica Analytics Platform is a distributed, column-oriented database for SQL analytics, reporting, business intelligence, and data warehousing. It uses massively parallel processing to distribute storage and query execution across clusters. The platform includes compression, workload management, query optimization, replication, recovery, statistical functions, time-series operations, event analysis, geospatial functions, and in-database machine learning. It can be deployed on premises, in private clouds, and on public-cloud infrastructure.

• Cloud and elastic database architecture · 2018

  Vertica in Eon Mode

  Eon Mode separates database compute from data storage. Data is held in shared object storage while compute resources can be scaled independently. Organizations can create multiple isolated subclusters for different workloads without maintaining separate copies of the underlying data. The architecture is intended to support cloud elasticity and can also operate with compatible object storage in private-cloud environments.

• Machine-learning analytics

  Vertica in-database machine learning

  Vertica's in-database machine-learning capabilities allow users to train, fit, and apply models within the analytical database, reducing the need to move data to external systems or down-sample large datasets. Documented algorithm families include linear and logistic regression, k-means clustering, Naive Bayes, random forests, XGBoost, and support-vector-machine classification and regression. Models can be deployed across multiple clusters.

• 2013Annual Vertica user conference

  Global customer and developer community

  Vertica began an annual user conference for customers, partners, and developers. The event was subsequently branded Vertica Unify and served as a community, product, and ecosystem forum.

  Outcome. The conference became a recurring channel for customer engagement and technical education.

  Source

• 2026

  Reported Rocket Software acquisitionM&A

  Background

  The supplied reference material describes Rocket Software's expansion in data, analytics, and modernization.

  Action taken

  Rocket Software reportedly acquired Vertica from OpenText in May 2026.

  Aftermath

  Vertica was reported to become part of Rocket Software's data, analytics, and modernization portfolio.

  Source

• 2023

  OpenText acquisition of Micro FocusM&A

  Background

  Vertica was part of the Micro Focus software portfolio after the 2017 software-business combination.

  Action taken

  OpenText acquired Micro Focus in January 2023, including the Vertica product portfolio.

  Aftermath

  Vertica became part of OpenText's information-management, data, and analytics holdings.

  Source

• 2018

  Adopt compute-storage separation with Eon ModeStrategy

  Background

  Cloud workloads increasingly required flexible compute capacity, shared data access, and workload isolation.

  Action taken

  Vertica introduced Eon Mode, placing data in shared object storage while allowing compute resources and subclusters to scale independently.

  Aftermath

  The architecture expanded Vertica's deployment model toward elastic public-cloud and private-cloud analytics.

  Source

• 2011

  Hewlett-Packard acquisitionM&A

  Background

  Vertica was an emerging enterprise analytical-database company based on columnar and distributed database research.

  Action taken

  Hewlett-Packard acquired Vertica in March 2011 and integrated it into HP Software.

  Aftermath

  Vertica continued as an enterprise software product within HP's software organization.

  Source

• 2026

  Rocket Software acquires Vertica from OpenText[1]Verticaen.wikipedia.org

  M&A

  The supplied reference material states that Rocket Software acquired Vertica from OpenText in May 2026 as part of its data, analytics, and modernization expansion.

• 2023

  OpenText acquires Micro Focus[1]Verticaen.wikipedia.org

  M&A

  OpenText acquired Micro Focus in January 2023, bringing Vertica into OpenText's portfolio.

• 2021

  Vertica releases Spark connector[1]Verticaen.wikipedia.org

  Product launch

  Vertica released a connector for Apache Spark, extending integration with distributed data-processing workflows.

• 2018

  Vertica introduces Eon Mode[1]Verticaen.wikipedia.org

  Product launch

  Vertica introduced an architecture separating compute from shared object storage to support elastic capacity and isolated workloads.

• 2017

  Vertica becomes part of Micro Focus[1]Verticaen.wikipedia.org

  M&A

  Following the combination of Hewlett Packard Enterprise's software business with Micro Focus, Vertica moved into the Micro Focus product portfolio.

• 2011

  Vertica acquired by Hewlett-Packard[1]Verticaen.wikipedia.org

  M&A

  Hewlett-Packard acquired Vertica in March 2011 and made the database part of HP Software.

1. 1Verticaen.wikipedia.org