AI Analytics & BI Platforms
mindSDB pricing: what do I get on Cloud Free vs Cloud Pro vs Teams (Deploy Anywhere)?
10 min read
Most teams land on our pricing page with the same core question: what do I actually get on Cloud Free, Cloud Pro, and Teams (Deploy Anywhere)—and which plan is right for my AI analytics rollout?
Below is a clear ranking-style breakdown of how the plans compare, what you unlock at each tier, and how to think about upgrading as you scale from first experiments to org-wide AI-powered analytics.
Quick Answer: The best overall choice for most individual decision-makers who want to get value fast is Cloud Pro. If your priority is experimenting safely with no budget or procurement friction, Cloud Free is often a stronger fit. For org-wide, governed deployments inside your own VPC or data center, choose Teams (Deploy Anywhere).
At-a-Glance Comparison
| Rank | Option | Best For | Primary Strength | Watch Out For |
|---|---|---|---|---|
| 1 | Cloud Pro | Individuals or small teams that want production-grade AI analytics quickly | Full-featured AI analytics with managed cloud, more usage, and plug-and-play integrations | Single user, cloud-hosted only |
| 2 | Teams (Deploy Anywhere) | Mid-market & enterprise needing secure, governed, org-wide rollout | Unlimited users, deploy in your VPC/on-prem, custom integrations & UI/OEM | Requires sales cycle and IT involvement |
| 3 | Cloud Free | Early exploration, pilots, and validating value | $0 entry, same core engines and connectors as Pro | Limited usage and features; not designed for broad production use |
Comparison Criteria
We evaluated each plan using the same lens we use internally when advising customers:
- Time-to-insight: How fast can you go from “I’m curious about mindSDB” to “I’m answering real questions across my live data”? This includes setup friction, connector coverage, and limits that bottleneck real usage.
- Scalability & governance: How well does the plan support growth—from one user to a full org—while respecting your trust boundary, data residency, permissions, and compliance requirements?
- Customization & extensibility: How deeply can you integrate mindSDB into your stack—custom data sources, AI-powered application search, embedding into your own products, and controlling LLMs and business rules?
Detailed Breakdown
1. Cloud Pro (Best overall for fast, serious AI analytics)
Cloud Pro ranks as the top choice because it gives a single decision-maker or small pod everything they need to run real AI-powered analytics in production—without waiting on IT projects, ETL, or new infrastructure.
On Pro, you’re running Minds Enterprise: Cloud with:
- A managed AI analytics environment
- Plug-and-play connectors into your operational and analytics systems
- Business-friendly UI plus SQL-native workflows
- Built-in governance defaults (no data movement, query-in-place execution inside your databases)
What it does well:
- Production-ready, plug-and-play AI analytics:
Cloud Pro is designed for people who don’t want to assemble an AI stack. You get managed LLMs, business rules, and an analytics UI in a single package. Connect PostgreSQL, MySQL, MS SQL Server, Google BigQuery, Salesforce, or Snowflake and you’re asking cross-system questions in minutes—not weeks. - Right-sized for serious usage:
Unlike free tools with hard ceilings that stop you after a handful of questions, Pro is built for ongoing usage at a reasonable monthly cost. You can schedule reporting, run recurring analyses, and rely on mindSDB for everyday decision support. - Enterprise mechanics without enterprise process overhead:
You still benefit from the same core architecture we use in larger deployments: query-in-place execution (no ETL), transparent reasoning, reviewable SQL, and validation steps before touching live systems. You don’t have to trade governance for speed.
Tradeoffs & Limitations:
- Single-user scope & cloud-hosted only:
Pro is intentionally optimized for an individual owner—typically a business leader, analytics lead, or product owner. It’s not designed as an org-wide deployment. If you need:- SSO/LDAP
- Unlimited users
- Custom data sources
- On-premise or VPC deployment
…you’ve outgrown Pro and should move to Teams (Deploy Anywhere).
Decision Trigger: Choose Cloud Pro if you want reliable, ongoing AI analytics with your real data, expect to use it as part of your weekly decision cadence, and you prioritize time-to-insight over deep, custom deployment control.
2. Teams (Deploy Anywhere) (Best for governed, org-wide deployment)
Teams (Deploy Anywhere) is the strongest fit when you’re past experimentation and have a clear mandate: bring AI-powered analytics to the organization, without compromising governance, compliance, or your infrastructure strategy.
This is Minds Enterprise: Deploy Anywhere, sold as an annual subscription and tailored to your environment.
What it does well:
- Unlimited users with enterprise-grade access control:
Teams gives you unlimited users with single sign-on and LDAP authentication. Your analysts, operators, finance, CX, and product teams can all interact with the same AI insights layer, while you manage access with RBAC and your identity provider. - Deploy in your trust boundary (on-prem or VPC):
With Deploy Anywhere, you run mindSDB inside your own VPC or on-premise data center. We do not host, store, or transfer your customer data. Data residency doesn’t change; the intelligence layer goes to where the data already lives. - Customized integrations & data sources:
While Cloud plans focus on standardized connectors (PostgreSQL, MySQL, MS SQL Server, BigQuery, Salesforce, Snowflake), Teams lets us work with you on:- Customized integrations into internal systems
- Customized data sources, including proprietary databases and internal services
- Advanced scenarios like AI-powered application search across your own product data
- Knowledge Base with dynamic updates:
Teams includes a Knowledge Base with dynamic updates. We connect directly to your document management systems, file shares, or cloud drives, and:- Chunk and embed content
- Keep embeddings fresh with AutoSync
- Respect native permissions from the underlying system
This is how you get trusted document intelligence (search, summarize, extract) with citation-backed answers and inherited access controls.
- Customizable UI & OEM options:
For ISVs and platforms, Teams supports customizable UI and OEM. You can embed mindSDB’s capabilities in your own product, leverage our APIs and SDKs, and ship AI-powered features to your customers in 2–4 weeks instead of building from scratch over months or years.
Tradeoffs & Limitations:
- Requires IT alignment and a sales-led process:
This is not a swipe-your-card plan. Teams is an annual subscription with a tailored deployment. You’ll want:- Stakeholders from data/platform/IT security
- Clarity on your data sources and initial use cases
- A deployment preference (on-prem vs VPC)
The payoff is control, observability, and scalability—but it takes more coordination than Cloud Free or Pro.
Decision Trigger: Choose Teams (Deploy Anywhere) if you want org-wide, governed AI analytics deployed inside your infrastructure, need unlimited users and custom integrations, and prioritize governance, data residency, and extensibility over fast, self-serve signup.
3. Cloud Free (Best for exploration and early validation)
Cloud Free stands out as the best way to explore mindSDB with zero friction. It’s the same Minds Enterprise: Cloud architecture you get on Pro, just with constrained usage so you can safely validate value before committing budget.
Free is ideal when you want to answer questions like:
- “Can mindSDB connect to our PostgreSQL or Snowflake instance easily?”
- “How well does it understand our Salesforce data?”
- “Does conversational analytics actually remove days of dashboard work for my team?”
What it does well:
-
$0 entry with real connectors:
On Free, you can connect to the same major systems as Pro:- PostgreSQL
- MySQL
- MS SQL Server
- Google BigQuery
- Salesforce
- Snowflake
You can see query-in-place execution in action, test natural language questions, and validate that the cognitive engine understands your schema and business terms.
-
Safe playground for pilots:
Because it’s free and single-user, it’s perfect for:- PoCs and internal advocacy
- Building a business case for AI analytics
- Experimenting with workflows before involving security and procurement
You experience the same end-to-end flow—planning → generation → validation → execution—with logs you can inspect.
-
No procurement or deployment blockers:
There’s nothing to install, no contracts to sign, and no infrastructure changes. You’re on Minds Enterprise: Cloud with the constraints you’d expect from a free tier, but without compromising on the core mechanisms.
Tradeoffs & Limitations:
- Usage and feature limits by design:
Free is explicitly for getting started, not running your business on. Limitations include:- Single user
- Lower question limits and resource caps than Pro
It’s perfect for exploration, but once you’re asking regular questions or sharing insights, you’ll feel the ceiling quickly.
- Not suitable for org-wide or OEM use:
You don’t get enterprise features like:- Unlimited users
- SSO/LDAP
- Customized integrations or data sources
- On-prem/VPC deployment
- OEM and fully customizable UI
Those are reserved for Teams.
Decision Trigger: Choose Cloud Free if you want to evaluate mindSDB with real data at zero cost, show value to stakeholders, or prototype a workflow—and prioritize frictionless experimentation over usage depth or enterprise governance.
How the plans stack up by use case
To make the choice even clearer, here’s how the three options map to typical scenarios.
Solo operator or analytics leader
- You own a P&L, a function, or a product.
- You want to cut time-to-insight from days to minutes.
- You’re comfortable starting with a hosted solution.
Start on: Cloud Pro
Why: You get enough capacity and features to make mindSDB part of your daily decision-making, without waiting for organizational buy-in.
Use Cloud Free only if you’re still in “is this worth my time?” mode and want to test basic flows before upgrading.
Head of data, platform, or IT
- You’re responsible for data governance, security, and tooling.
- You need AI analytics that respects your trust boundary.
- You’re allergic to ETL sprawl and black-box SaaS.
Start on: Teams (Deploy Anywhere)
Why: You can deploy mindSDB in your VPC or on-prem, keep data in place, and enforce RBAC, SSO, and native permissions while enabling the entire organization to ask questions in natural language and SQL.
You might still use Free or Pro briefly for prototyping, but production should live in your own environment under the Teams model.
ISV, product company, or platform wanting embedded AI
- You want to bake AI-powered analytics and application search into your product.
- You care about time-to-market and predictable governance.
- You can’t afford to build and operate an AI stack from scratch.
Start on: Teams (Deploy Anywhere)
Why: You get customizable UI & OEM support, API-first access, custom integrations, and the ability to run within your (or your customer’s) infrastructure. That’s how teams ship AI-powered features in 2–4 weeks instead of quarters.
Final Verdict
If you map the plans to a simple maturity curve, the picture is straightforward:
- Cloud Free is your zero-friction on-ramp—perfect for testing how mindSDB works with your PostgreSQL, MySQL, MS SQL Server, BigQuery, Salesforce, or Snowflake data, and for validating time-to-insight gains.
- Cloud Pro is the best overall choice for an individual or small group that’s ready to make AI-powered analytics part of real, ongoing decision-making, with minimal setup and a predictable monthly cost.
- Teams (Deploy Anywhere) is the enterprise path—unlimited users, custom integrations and data sources, Knowledge Base with dynamic updates, and deployment inside your own VPC or on-premise environment, with SSO/LDAP and OEM capabilities when you want to embed mindSDB into your product.
Pick the lowest plan that won’t bottleneck your next 6–12 months of AI adoption. If you know you’re going to scale across teams—or you have strict governance requirements—go straight to Teams. If you’re still proving value, start on Free, then move to Pro as soon as you feel constrained.