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Data is the currency of the future, and without it, you and your business are missing out on opportunities and new revenue streams.
And if a data analytics platform promises AI-fueled analytics and easy data discovery for all, you’re going to hear them out.
Today, we talk about GoodData.
It’s one of the newcomers in the world of BI, but its AI-backed approach, ease of use and customization options are making it a popular choice for businesses of all shapes and sizes.
Today, you’ll find out how much GoodData costs and how their pricing model works for internal and embedded use cases.
Before its move to an enterprise-only pricing structure, GoodData offered more transparent, tiered pricing for both internal business analytics and embedded analytics use cases. For teams just getting started with BI or those building embedded dashboards into their SaaS tool, these plans offered a relatively accessible path into the GoodData ecosystem.
If you're evaluating GoodData today or transitioning from a legacy plan, understanding the old pricing model can provide important context, especially when comparing costs, capabilities, and what you're getting for your money.
Let’s see what the old pricing tiers looked like before the update in 2025:
The internal analytics offering was structured around three plans:
These tiers were primarily targeted at teams using GoodData internally to build dashboards, make data-driven decisions, and enable self-service analytics within the organization.
This was the entry-level plan designed for small teams or startups seeking to embark on their data visualization journey.
While it covered the basics for internal dashboards, there were notable omissions:
This plan was best for smaller businesses or internal teams with modest analytics needs. However, for enterprises or regulated industries, its limitations were clear.
The next step up, this plan added a few key enhancements:
What didn’t change, however, were the major enterprise-grade features. Those were still reserved for the Custom plan. You still didn’t get self-hosted deployment, uptime guarantees, or advanced compliance and support options.
This made the Professional plan more of a middle ground—better suited for growing teams with more data, but not quite “enterprise-ready.”
This was the only plan with full enterprise functionality, and as the name implies, pricing was determined based on your use case.
Included features:
This plan was clearly geared toward large-scale organizations with complex requirements, strict compliance needs, or geographic-specific data handling policies.
For SaaS companies embedding dashboards into their products, GoodData offered a separate pricing track:
This setup let product teams give end-users access to powerful, embedded analytics, without building everything from scratch.
The entry point for embedded analytics came with:
However, as with internal tiers, it missed some enterprise must-haves:
This plan was great for startups and mid-sized SaaS products but fell short for enterprise-level SaaS apps with users across regulated industries or global markets.
Much like with internal analytics, the Custom plan here unlocked:
Pricing details weren’t public—everything had to go through a sales conversation, making budgeting a bit trickier.
Now that we’ve covered how pricing used to work, let’s move on to GoodData’s 2025 pricing—what you get, what’s included, and how it stacks up in today’s BI landscape.
As of 2025, GoodData has moved to a simplified two-tier structure, targeting two distinct groups:
Instead of user-based pricing, everything now revolves around workspaces, which makes sense for multi-tenant SaaS apps or teams with isolated analytics environments. But while this model can scale, it also hides some of the real costs—especially for companies with lots of users or workspaces.
Let’s break down what each plan includes, what’s missing, and how the 2025 pricing compares to the old model.
This tier is marketed to smaller businesses or SaaS startups looking to scale. You pay a platform fee + a charge per workspace, which can be flexible if you know your user distribution well.
In short, this plan gives you most of the core GoodData platform, but holds back features that growing or regulated companies might need. There’s enough here to launch a solid product or dashboard internally, but not enough to handle edge cases or compliance-heavy industries.
The Enterprise tier provides access to all features in the Professional plan, along with a comprehensive list of premium features. It’s the only option if you need enterprise-grade security, compliance, or control over deployment.
Even though Enterprise gives you access to everything, many of the premium capabilities (like deployment options and compliance levels) are still on demand, meaning you need to go through a sales call to confirm what’s available, what it costs, and how long it takes to set up.
This can be a dealbreaker for teams wanting pricing transparency, especially if you're budgeting months in advance.
Some familiar features have carried over into 2025:
There are clear improvements in the new offering:
That said, there are still sticking points:
If you're a mid-sized or growing SaaS team, the Professional plan might seem like a reasonable place to start. It’s built to support business intelligence at scale with full embedding functionality—but it still leaves out several advanced features. And since everything is tied to one workspace and usage-based billing, costs can spike if you grow fast.
For larger teams or regulated products, the Enterprise tier is where GoodData shines. You’ll get enterprise-grade security, dedicated resources, analytics lake capabilities, and more—but you’ll also need to budget for sales calls, onboarding, and hidden fees.
If you're unsure whether to choose Professional or commit to the case based pricing Enterprise model, consider your compliance requirements, AI usage, and how fast you plan to grow.
Most importantly, make sure the plan you select can provide customer support, adapt as your product evolves, and give you the tools to scale as you grow without surprises.
GoodData still makes sense if you're an enterprise with strict data security needs, a large analytics engineering team, and the budget to match. Their Enterprise plan is powerful, offering advanced deployment models, AI tools, and full control over analytics infrastructure. If you're building a regulated product, managing large datasets across multiple regions, or need total flexibility, it’s a solid option.
But for many teams, the current pricing model introduces too much friction. You need to:
If you're a smaller company, a mid-sized SaaS team, or simply need fast, flexible analytics you can embed without heavy setup, GoodData may be too much for both your team and your budget.
Check this out: top 8 GoodData competitors
Luzmo is purpose-built for embedded analytics. It’s simple to plug into your app, fast to customize, and gives you everything you need without locking key features behind an enterprise paywall.
✔️ Fully embeddable dashboards with deep customization
✔️ Transparent pricing—no hidden fees, no surprise costs
✔️ Built-in AI-powered insights, real-time updates, and cross-platform support
✔️ Core features that match (or beat) what’s in GoodData’s top-tier plans
We’ll show you exactly how it fits into your stack—and what results you can expect.
Book a free demo today and see how SaaS teams that switch to Luzmo benefit from everything it brings: speed, clarity, and control over data. Talk to us, we're happy to discuss your requirements!
GoodData does not currently offer access to community based support like you might find with other BI tools. Support is delivered through formal channels—either via the support portal or through a dedicated customer success manager, which is only available on the Enterprise plan. If you're looking for peer help or a user-driven knowledge base, you may want to explore alternatives that include community based support as part of the experience.
You currently can’t estimate AI query usage in the Professional plan. There’s no visibility into how query volume or complexity affects cost until after implementation. Only the Enterprise tier includes real-time monitoring, usage analytics, and tools to estimate your AI query patterns. If your product relies heavily on predictive models or AI-powered insights, it’s worth considering vendors that offer transparent pricing and clear tools to estimate my AI query usage.
The difference between the managed and self-hosted options lies in control and compliance. Managed deployment is handled on GoodData’s cloud infrastructure, while self-hosted deployment (available only to Enterprise customers) gives you full control over infrastructure. This is critical for organizations with enterprise level security compliance, strict internal policies, or regulatory obligations. Self-hosting supports level security compliance br unlimited users, multi-tenancy, and custom access control.
Build your first embedded data product now. Talk to our product experts for a guided demo or get your hands dirty with a free 10-day trial.
