Wren AI vs Vanna: 2026 comparison

Wren AI and Vanna in brief

Wren AI and Vanna both let you ask questions of databases and work with SQL-generated results. Their stated emphasis differs. Wren AI highlights data relationships, business rules, charts and dashboards. Vanna highlights embedding a data assistant in an application and controlling access according to the user. The practical question is therefore how you want people to use the assistant: within a shared analytical workflow, through collaborative access points, or as a feature inside an application you are building.

Wren AI : Wren AI serves teams querying databases in plain language. It produces SQL queries, creates charts and dashboards, and lets users define data relationships and business rules.

Vanna : Vanna serves teams querying databases through questions. It generates SQL queries, displays results as tables and charts, controls access by user and embeds a data assistant in applications.

They are often weighed against each other by people who hesitate. This page lines up their features point by point (10 criteria), with no partnership with either publisher.

Comparison table

Criterion by criterion

For each criterion: why it matters, each one's value and who has the edge. A criterion without data on both sides is not decided.

Free tier

A free tier lets you test the tool on your own examples before paying anything. Wren AI : yes. Vanna : yes. A tie on this point.

Entry price

The first paid plan, per month, gives the minimum cost of regular use; higher plans cost more. Wren AI : $179 per month. Vanna : $50 per month. Edge: Vanna.

Public API

An API lets you connect the tool to your software, an automation tool or an AI agent. Wren AI : yes. Vanna : yes. A tie on this point.

Data export

Being able to get your content back avoids lock-in the day you want to switch tools. Wren AI : yes. Vanna : yes. A tie on this point.

Data hosting

Where data is stored matters for GDPR and client data: the EU or local processing make compliance simpler. Wren AI : several regions. Vanna : several regions. A tie on this point.

Interface languages

More interface languages make the tool easier to roll out across an international team. Wren AI : not published. Vanna : 1. Cannot be decided: data missing on one side.

Platforms

The more platforms (web, desktop, mobile, extension), the better the tool fits your daily routine. Wren AI : web browser, API, Slack, and Microsoft Teams. Vanna : web browser and API. Edge: Wren AI.

Open source

Public code lets you audit the tool, self-host it and keep using it if the publisher changes course. Wren AI : yes. Vanna : yes. A tie on this point.

Track record

A tool launched several years ago has a longer history: less risk of sudden shutdown, more user feedback. Wren AI : launched in 2024. Vanna : not published. Cannot be decided: data missing on one side.

Recognition

The number of reference community lists citing the tool shows how well known it is among practitioners. Wren AI : cited in 1 list. Vanna : cited in 1 list. A tie on this point.

In charts

Our analysis

Wren AI combines natural-language database questions with SQL generation, charts and dashboards. Defining data relationships and business rules is an explicit part of its published scope. That can matter when your team needs to express the context behind its data before exploring it. Vanna also converts questions into SQL and displays results in tables or charts. It lists several database types and an assistant that can be embedded in an application. There is overlap in querying, but different emphasis around its use. No supplied evidence establishes which product understands questions more reliably or generates more accurate SQL for your databases.

Wren AI has a free offering and lists Essential Cloud at the equivalent of USD 179 per month with annual billing. Vanna also has a free offering; Explorer lists USD 50 per month, with an announced 20% annual discount. These prices show different paid entry points, but the profiles do not specify matching quotas, user counts or included services. They cannot determine the cost of an equivalent deployment. Wren AI scores 83 and Vanna 78 for access and transparency. Those scores are not measures of analytical quality, SQL correctness or the usefulness of results within your organisation’s daily work.

Both products are open source and describe data hosting as mixed. The supplied profiles do not identify countries, retention periods or deletion conditions. Open code therefore does not by itself establish the processing arrangements of the deployment or paid offering you choose. Wren AI lists CSV export. Vanna more specifically lists CSV for results from its Flask interface. Vanna also states that data access can be controlled by user. That capability is relevant if your application needs such controls, but its presence in Vanna’s profile does not prove that Wren AI lacks comparable mechanisms outside the supplied information.

Wren AI lists web, API, Slack and Teams availability. Vanna lists web and API access, alongside its stated ability to embed an assistant in an application. Wren AI consequently documents collaborative access points, while Vanna explicitly describes an embedded use case. Wren AI’s interface languages are not disclosed. Vanna lists one interface language without French, which does not establish what languages it accepts for questions. Neither profile details the available database connectors, setup effort or workload limits. Those omissions prevent firm conclusions about compatibility with your existing systems or the work needed to make either assistant usable day to day.

Depending on your situation

The right choice depends on use. For a few common situations, here are the criteria that matter and who wins (Wren AI value / Vanna value).

Personal use on a tight budget

Here, Vanna has the edge: it wins 1 of the 3 criteria that matter in this situation, namely free tier (yes / yes), entry price ($179 per month / $50 per month), and interface languages (not published / 1).

Business use with client data

Neither stands out on the criteria for this situation (data hosting (several regions / several regions), data export (yes / yes), and track record (launched in 2024 / not published)): decide with a trial.

Integration with your software

Here, Wren AI has the edge: it wins 1 of the 3 criteria that matter in this situation, namely public api (yes / yes), open source (yes / yes), and platforms (web browser, API, Slack, and Microsoft Teams / web browser and API).

Which one to choose?

Choose Wren AI if…

• you value platforms (web browser, API, Slack, and Microsoft Teams)

Wren AI fits teams that need database questions, business rules, data relationships and dashboards within the stated feature set. Listed Slack and Teams access may also match your collaborative workflow. Assess the Essential Cloud price against those needs, while recognising that the supplied profile does not specify the quotas or service limits included in that plan.

Choose Vanna if…

• you value entry price ($50 per month)

Vanna is a logical fit when you want a data assistant inside an application, with questions converted into SQL and access controlled by user. Its Explorer plan has a lower stated monthly entry price than Essential Cloud. That provides a budget reference, but does not establish equivalent capacity, included services or implementation requirements between the two products.

Strengths and limits of each

Wren AI

• + Free tier to try it
• + Public API
• + Public source code
• − More expensive than its category median

Vanna

• + Free tier to try it
• + Public API
• + Public source code
• − More expensive than its category median

The best test is still yours: take three real tasks from your day and give them to both for a week.

What about the others?

If neither suits you, look at AITable.ai, Airtable, MinusX, Bricks, Text2SQL.ai, and Better Analyst.

Related comparisons:

• AITable.ai vs Wren AI
• AITable.ai vs Vanna

Conclusion

Wren AI emphasises business context, dashboards and listed collaborative access. Vanna explicitly addresses an embedded data assistant with user-based access control. Their paid entry prices differ, but the supplied information does not establish equivalent plans or comparative accuracy. Choose according to where the assistant will be used and which data workflow it must support, treating access and transparency scores separately from any judgement of quality.