Vertica Pricing in 2026

Pricing Overview

Vertica, now branded as OpenText Analytics Database, uses a usage-based pricing model starting at $3.19 per hour. This positions it as an enterprise-grade columnar analytics platform where you pay based on compute consumption rather than flat license fees. OpenText offers three distinct purchasing paths: an enterprise license for organizations that want predictable costs and on-premises control, a DBaaS (database-as-a-service) subscription for cloud-native deployments on AWS, Azure, or GCP, and OEM or ISV licenses for software vendors embedding Vertica's analytics engine into their own products.

We appreciate the flexibility of having three licensing tracks, but the lack of publicly listed tier pricing makes budgeting harder than it should be. Only the DBaaS subscription exposes a concrete starting price. For everything else, you will need to contact OpenText sales for a custom quote, which signals that Vertica targets mid-market and enterprise buyers rather than small teams experimenting with analytics.

A free trial is available on request, which we recommend taking advantage of before committing to any license agreement.

Plan Comparison

Vertica does not publish a traditional tiered pricing grid with starter, pro, and enterprise tiers. Instead, OpenText structures its offering around three licensing models, each tailored to different deployment strategies and budget requirements.

The DBaaS subscription is the only model with a publicly visible starting price, and it is the fastest path to getting Vertica running. For the enterprise and OEM tracks, pricing is tailored to your compute, storage, and data transfer requirements, typically negotiated on an annual basis.

We find the DBaaS route the most transparent option for teams that want to start small and scale incrementally. You get the full Vertica feature set -- columnar storage, in-database machine learning, massively parallel processing, and ANSI-compliant SQL -- without managing infrastructure yourself. The enterprise license makes more sense when your workloads are steady and predictable enough to justify negotiating a fixed deal, especially if your compliance requirements mandate on-premises deployment.

All three licensing models include the same core analytics capabilities. The difference is in how you deploy, how you pay, and how much infrastructure management falls on your team versus OpenText.

Hidden Costs and Considerations

Vertica's sticker price tells only part of the story. Storage costs are billed separately from compute in the DBaaS model, so organizations with heavy data retention requirements will see bills climb beyond the base hourly rate. Data transfer fees apply when moving data between cloud regions or egressing data out of the cloud entirely.

Training is another line item to plan for. While Vertica's documentation is free, instructor-led sessions (both in-person and live online) carry additional costs. We also flag the community support gap: roughly 50% of users report limited community resources, which may push you toward paid support tiers sooner than expected. Factor in DBA expertise as well, since Vertica requires skilled administrators for performance tuning, cluster management, and ongoing maintenance.

Cost Estimates by Team Size

Since Vertica's DBaaS pricing starts at $3.19 per hour, here is what you can expect at different scales. These figures reflect compute costs only and do not include storage or data transfer.

These estimates assume nodes running 24/7. Organizations with burst workloads can reduce costs by spinning nodes up only during business hours or peak analysis periods. For enterprise deployments, the perpetual license model may deliver better long-term economics than hourly billing, particularly if your cluster runs continuously at high utilization.

How Vertica Pricing Compares

Vertica sits at the premium end of the analytics database market. Here is how it stacks up against alternatives in the data warehouse and analytics category.

Vertica is the most expensive option at entry level by a wide margin. Neo4j and InfluxDB both offer genuinely free self-hosted editions that let you evaluate the platform without spending anything. MotherDuck provides a free tier for individual users and a $25/month Pro plan for small teams, with a $49/month Team plan for collaborative use.

At $3.19/hour, a single Vertica node running around the clock costs roughly $2,297 per month before storage and transfer fees are added. That is a significant commitment compared to MotherDuck's $25/month entry point or Neo4j's free AuraDB tier.

That said, we think the comparison is not entirely apples-to-apples. Vertica's columnar MPP architecture is built for petabyte-scale analytics with high concurrency -- a performance tier that Neo4j (a graph database), InfluxDB (a time-series database), and MotherDuck (a DuckDB-based service) are not designed to match. If your workload demands sub-second queries across billions of rows with dozens of concurrent analysts, Vertica's per-hour cost becomes justifiable against the infrastructure you would need to achieve similar results elsewhere. For smaller teams, exploratory projects, or specialized workloads like graph or time-series analysis, the competitors listed above offer far lower barriers to entry.