Data Platforms

Vertica.

High-performance analytical database for complex, large-scale workloads — now Rocket Vertica.

Part of Rocket Software · Also known as: Rocket Vertica, OpenText Analytics Database, Vertica Enterprise Analytics

Explore the portfolio Independent editorial profile

Ownership

OpenText Analytics Database (former name)

Rocket Vertica — Rocket Software, since 11 May 2026

Ownership history

  1. Vertica

    Columnar analytic database known for query performance at scale.

  2. OpenText era

    Rebranded as OpenText Analytics Database from release 24.4.

  3. 11 May 2026

    OpenText completes the divestiture of Vertica to Rocket Software; marketed as Rocket Vertica.

Deployment modes

Enterprise mode

Traditional deployment with local storage.

Best fit: Predictable, performance-critical workloads.

Watch: Scaling compute and storage together.

Eon mode

Separated compute and shared storage.

Best fit: Elastic or cloud-oriented deployments.

Watch: Object storage performance and cost.

Capabilities

Rocket Vertica databaseAnalytical engine
The core columnar, MPP analytical database for high-performance SQL over very large datasets, deployable on-premises, in cloud marketplaces and in hybrid designs.
In-database analytics and MLAdvanced analysis
Built-in analytical and machine learning functions that run where the data lives, avoiding extraction for many data science workloads.
Deployment flexibilityAny infrastructure
Support for commodity hardware, cloud object storage architectures and Kubernetes-based operation, enabling embedded and hybrid patterns.

Scenarios

Situation

High-throughput event analytics

Billions of events must be queryable interactively for operations and fraud use cases.

Approach

Model and load event streams into Vertica with projections tuned to query patterns.

Value

Interactive analysis at scales that defeat general-purpose warehouses.

Situation

Embedded analytics in products

A software product needs fast analytics for its customers without building a database.

Approach

Embed Vertica as the analytical engine behind the product's reporting and insight features.

Value

Product-grade analytical performance without building it from scratch.

Situation

Data science without extraction

Analysts export data to notebooks, losing governance and freshness.

Approach

Run in-database ML and analytical functions with governed access.

Value

Advanced analysis on live, governed data.

Situation

Hybrid analytical platform

Some data must stay on-premises while analytics demand cloud elasticity.

Approach

Deploy Vertica across environments with storage-separated architecture in cloud.

Value

One analytical engine across residency boundaries.

Strengths and trade-offs

  • Deep, proven query performance on very large analytical workloads
  • Deployment flexibility few analytical databases match
  • Strong fit for embedded analytics inside commercial products
  • In-database analytics that reduce data movement

Two ownership transitions in a short period make roadmap and support due diligence essential — confirm current terms with Rocket Software. The ecosystem and skills pool are smaller than the largest platforms, which affects hiring and community resources.

Evaluating Vertica now

Evaluation of Vertica typically centers on performance and ownership transition: assessing workload and projection tuning needs, comparing deployment modes for migration, and weighing embedded analytics architecture options. Given the recent OpenText-to-Rocket Software divestiture, current facts on support and licensing terms should be confirmed directly with Rocket Software before any platform decision.

Questions buyers ask

  1. Q1What support and licensing terms apply under Rocket?
  2. Q2Is the roadmap aligned with our needs?
  3. Q3Would a migration or continued investment be less risky?

FAQ

Who owns Vertica now?

OpenText completed the divestiture of Vertica to Rocket Software on May 11, 2026, and it is now marketed as Rocket Vertica. Earlier releases were branded OpenText Analytics Database, a former name for the same product. Current support and licensing terms should be confirmed directly with Rocket Software.

Vertica versus Snowflake or Teradata?

Vertica's edge is deployment flexibility and embedded/performance-critical use cases; Snowflake leads on managed cloud simplicity and Teradata on high-concurrency mission-critical estates. Workload reality decides.

Is Vertica suitable for AI workloads?

For analytical feature engineering and in-database ML, yes. As the grounding source for LLM applications it works well as a governed data source feeding retrieval architectures.

Is cloud a path for organizations running Vertica on-premises?

Yes, storage-separated architecture supports cloud deployment, and hybrid patterns are common. Migration is typically phased, with performance validation at each stage.

Official further reading

Independent editorial profile. Vendor facts reviewed against official sources, September 24, 2026.

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