7 Best Holistics Alternatives in 2026

Holistics sits in an interesting part of the BI market. It combines code-based semantic modeling, self-service analytics, dashboards, AI and embedded analytics in one platform, with Git workflows and dbt integration built into the way data teams work.

That mix is a strong fit for companies that want analytics to stay close to engineering practices.

It is not the only way to build an analytics stack, though.

A product team shipping customer-facing analytics may care more about how natively analytics fit into the application. A dbt-heavy data team may want a more open-source workflow. An enterprise may need a deeper governance layer. Another company may want a headless semantic layer that feeds several downstream tools instead of bundling modeling and BI in one product.

The best Holistics alternative depends on which part of the platform matters most to you.

The 7 best Holistics alternatives in 2026 are:

1. Luzmo: best overall for native, customer-facing embedded analytics
2. Lightdash: best for dbt-first teams that want open-source, analytics-as-code workflows
3. Looker: best for mature semantic modeling in the Google Cloud ecosystem
4. Omni: best for modern warehouse-first BI with governed exploration
5. Metabase: best for an accessible open-source BI starting point
6. Cube: best for a headless semantic layer serving multiple analytics surfaces
7. GoodData: best for governed enterprise and multi-tenant analytics deployments

Holistics alternatives at a glance

Tool	Best for	Embedded-first?	Public pricing?	AI capabilities
Luzmo	Native customer-facing analytics in SaaS products	Yes	Yes, MAU-based plans	Luzmo AI + Luzmo IQ
Lightdash	dbt-first analytics teams and analytics-as-code workflows	No, BI-first with embedding add-on	Yes	AI agents + MCP
Looker	Enterprises standardized on Google Cloud and LookML	No, broad BI + dedicated Embed edition	No, quote-based	Conversational Analytics powered by Gemini
Omni	Warehouse-first teams combining governed metrics and exploration	Internal + embedded analytics	No public list pricing	AI grounded in semantic models
Metabase	Open-source BI and lower-cost entry	No, embedding on paid plans	Yes	AI querying and embedded AI on paid tiers
Cube	Headless semantic layer, APIs and multiple analytics surfaces	No, semantic-layer-first	Yes for self-serve plans	Analytics chat + agentic use cases
GoodData	Enterprise governance, multi-tenancy and deployment flexibility	Strong embedded focus	Pricing model public, exact quotes sales-led	Embedded AI, agents and governed analytics

Why look for a Holistics alternative?

Holistics has become a much broader platform in 2026.

It now positions itself around analytics-as-code, AI, self-service and embedded analytics, rather than simply being a SQL-based BI tool. Its embedded product supports branded dashboards, secure multi-tenancy and full analytics portals.

That makes it a credible option.

The trade-offs come from how it is built.

Embedding still runs through a signed iframe

Holistics can make embedded analytics look branded and integrated. It supports white-labeling, custom domains and row-level permissions.

Under the hood, however, its current embedded documentation is explicit: Holistics generates a signed URL that loads inside an iframe.

For many use cases, that is perfectly fine. Iframes are fast to deploy and keep most of the analytics application contained inside the vendor's environment.

The ceiling appears when your product team wants analytics to behave less like an embedded destination and more like individual parts of the product UI.

A KPI beside a workflow. A chart inside a customer record. An analytics control that reacts to your application's state. A custom interaction that needs to feel exactly like the rest of your design system.

Holistics itself describes iframe embedding as one integration method with trade-offs in styling and control.

Teams that need deeper UI composition may prefer an embedded analytics platform with native components, SDKs and APIs designed for analytics to disappear further into the host product.

Embedded pricing is not publicly listed

Holistics is more transparent than many BI vendors when it comes to its core plans.

Its current US monthly pricing starts at:

• Entry: $960 per month
• Standard: $1,200 per month
• Security Compliance Suite: $2,400 per month

Annual billing lowers those effective monthly rates to $800, $1,000 and $2,000 respectively.

Embedded analytics is different.

Holistics lists it as a custom offering with white-labeling, dynamic row-level permissions, unlimited dashboard viewers and interactive visualizations, but does not publish a standard embedded price.

That means teams can compare the cost of internal BI before talking to sales, but not the full cost of a customer-facing deployment.

For SaaS companies, that distinction matters. External adoption can scale very differently from internal BI usage.

Luzmo, for example, publishes embedded analytics pricing around the solutions you deploy and monthly active users.

Analytics-as-code is a strength, but not every team needs it

Holistics is clearly built for data teams that value software development workflows.

Its positioning leans into version control, Git, code-defined models, dbt integration and a semantic layer maintained with engineering discipline.

For the right team, that is a major advantage.

But a product manager trying to launch a customer dashboard may not want analytics to become another codebase to own.

A small SaaS company may prefer a visual workflow where analysts and product teams can build dashboards quickly, while developers step in only for deeper customization.

The right question is not "Is analytics-as-code better?"

It is: does your analytics team actually want to work that way?

If not, a tool with a stronger visual build experience and self-service analytics may get more people involved without pushing every change through a technical workflow.

A full BI platform can be more than an embedded use case needs

Holistics supports internal analytics, semantic modeling, dashboards, scheduled delivery, AI and embedding.

That breadth is useful when one platform needs to serve the whole organization.

But some software companies have a narrower job to solve.

They already have a warehouse. They already have internal BI. What they need is a customer-facing analytics layer that can ship inside their product without turning into a second BI transformation project.

In that scenario, a purpose-built embedded platform can be simpler to evaluate.

You are choosing based on the user experience your customers see, not replacing every part of your internal analytics stack.

For a wider category comparison, see Luzmo's guide to the best embedded analytics tools.

White-labeling and native composition are not the same thing

Holistics offers white-labeling for embedded analytics.

That matters, but white-labeling can mean different things.

Changing logos, colors, domains and dashboard styling can make an embedded BI interface look much closer to your product. Native composition goes further: the analytics components themselves can sit inside your existing layouts and interaction patterns.

This distinction becomes more important as analytics spread beyond a single "Reports" tab.

For teams building a deeply integrated data experience, compare not only how well a vendor can theme a dashboard, but how much control you get below the dashboard level.

That is where composable analytics becomes a different product model.

How much does Holistics cost?

Holistics publishes pricing for its main BI plans.

On monthly billing in the US:

• Entry: $960 per month, including 100 reports and the first 10 users
• Standard: $1,200 per month, with unlimited reports and the first 10 users
• Security Compliance Suite: $2,400 per month, adding more granular identity and access controls
• Custom Plan: quote-based
• Embedded Analytics: custom pricing

Annual billing reduces the effective monthly cost of the first three plans to $800, $1,000 and $2,000.

Extra users and report capacity can add to the bill on applicable plans.

Holistics says embedded analytics includes unlimited dashboard viewers, along with options such as white-labeling and dynamic row-level permissions. The company asks buyers to contact sales for pricing.

That makes the embedded model worth quoting against a realistic scenario before you choose.

Use the same assumptions for every vendor: number of tenants, monthly active users, dashboard builders, self-service users, expected traffic, dev/stage/prod environments and any AI usage.

Best alternatives to Holistics

1. Luzmo: best overall Holistics alternative for customer-facing embedded analytics

If you like Holistics because it can put analytics inside your product, but your priority is the product experience rather than running a broader BI platform, Luzmo is the strongest alternative.

Luzmo was built around embedded, customer-facing analytics.

That difference shows up in the way teams build, embed, customize and scale the experience.

Build visually first, add code when you need it

Holistics puts strong emphasis on analytics-as-code and a governed semantic layer.

Luzmo gives teams a more visual starting point.

Product managers, analysts and designers can build dashboards in a drag-and-drop environment, connect data and get an embedded experience running without turning every dashboard change into an engineering task.

Developers still have APIs and SDKs when the product needs more control.

That balance works well for SaaS teams where analytics is shared ownership. The data team may define access and logic, the product team shapes the experience and engineering handles the deeper integration points.

You do not have to choose between no-code and code-first from day one.

Customer self-service without exposing a BI tool

Customer-facing analytics changes once users want to build their own views.

A fixed dashboard can answer the first five questions. It rarely answers the next fifty.

Luzmo's self-service analytics lets end users edit or create dashboards inside the product while staying inside the permissions and data access model the product team controls.

The goal is not to give every customer access to an internal BI environment.

It is to give them enough freedom to answer their own questions inside your application.

This works particularly well in multi-tenant analytics, where many customers share the same product but need isolated data and different analytics experiences.

Go below the dashboard with composable analytics

An iframe is fast when the dashboard itself is the product surface.

It becomes less flexible when analytics need to appear across many workflows.

Luzmo's composable analytics gives developers a component-level route.

Instead of embedding one complete analytics application, teams can assemble analytics components into their own UI.

That is useful when a chart needs to sit next to a form, a KPI belongs inside a workflow or analytics have to follow an existing design system closely.

You keep the analytics engine, permissions and data behavior while taking more control over how the experience is composed.

The guide to what composable analytics is explains the difference in more detail.

Embedded AI as part of the customer experience

Holistics has moved quickly into AI. Its current positioning includes AI analysis grounded in the same semantic layer that powers dashboards.

Luzmo also treats governance as central, but starts from the embedded user experience.

Luzmo IQ lets end users ask questions in plain language inside the host application.

That matters for SaaS teams because AI is not a separate destination users have to learn.

It becomes another way to interact with the analytics already inside the product.

The larger positioning difference is simple.

Holistics starts from a BI and semantic layer platform that can also be embedded.

Luzmo starts from analytics that need to live natively inside someone else's product.

Transparent pricing for embedded use

Luzmo currently starts at €995 per month for Starter and €2,495 per month for Premium, billed annually. Enterprise pricing is custom.

Plans are based on the solutions deployed and monthly active users.

Starter includes embedded, white-labeled analytics, custom charts and themes, AI-assisted dashboarding plus API and SDK access. Premium adds self-service analytics and Luzmo IQ.

That makes it easier to model a customer-facing use case before entering procurement.

See the current Luzmo pricing for the full breakdown.

Best for: SaaS product teams that want analytics to feel native, need fast implementation, want self-service for external users and need a path from ready-made dashboards to component-level experiences.

2. Lightdash

Lightdash is the most natural Holistics alternative for teams that like analytics-as-code but want a stronger dbt-first and open-source path.

Its open-source edition can be self-hosted. Cloud Pro currently costs $3,000 per month and includes unlimited users, a native dbt integration, a governed semantic layer, dashboards-as-code, AI agents and MCP.

The philosophical overlap with Holistics is strong.

Both tools treat analytics as something that should fit software development workflows rather than live only in a point-and-click BI interface.

The difference is where the workflow starts.

Lightdash grew directly around dbt. Teams with a mature dbt project can use that work as the basis for metrics, exploration and AI.

Embedding is available as an add-on through iframe and React SDK options. Lightdash currently offers pay-as-you-go embedding with the first 1,000 loads free and then $0.05 per load, or a predictable plan starting at $790 per month for 100,000 loads per Embed Worker.

For a company evaluating Holistics mainly because of Git, dbt and code-based governance, Lightdash deserves a serious look.

Best for: dbt-heavy data teams that want open-source optionality, unlimited BI users and analytics-as-code workflows.

3. Looker

Looker is the mature enterprise choice in this group.

Its LookML modeling layer has shaped the way modern BI teams think about governed metrics, reusable business logic and version-controlled analytics.

For organizations already standardized on Google Cloud, the ecosystem fit is hard to ignore.

Looker also has a dedicated Embed edition for external analytics and custom applications. Google documents signed embedding, custom themes, APIs and an Embed SDK, while conversational analytics adds Gemini-powered natural-language interaction on top of governed data.

The trade-off is weight.

Looker is an enterprise platform with annual, sales-led pricing. Its pricing model combines platform costs and user licensing, and implementation usually assumes teams can support LookML development and administration.

Holistics may feel lighter for teams that want code-defined BI without adopting the full Looker operating model.

Looker may feel safer for enterprises that want a mature semantic layer and already have the skills to run it.

See Luzmo vs. Looker and the current guide to Looker pricing for a deeper comparison.

Best for: enterprises with LookML expertise, a strong Google Cloud footprint and mature governance requirements.

4. Omni

Omni is a strong Holistics alternative for warehouse-first teams that want governed metrics and flexible exploration without making everything code-only.

Its founders came from Looker, and the product keeps the idea of a semantic layer while giving analysts several ways to work: modeled data, point-and-click exploration and SQL.

That can make Omni attractive to mixed teams.

A data engineer can care about governance. An analyst can explore quickly. Business users can consume dashboards without understanding how the model is built.

Omni has also pushed deeper into embedded analytics and AI in 2026.

The main trade-off versus Holistics is transparency and workflow preference.

Holistics publishes core BI pricing and leans more visibly into analytics-as-code. Omni pricing remains sales-led.

For a complete breakdown, read the best Omni Analytics alternatives.

Best for: modern data teams that want a governed semantic layer with flexible analyst exploration and both internal and embedded analytics.

5. Metabase

Metabase is a strong alternative when Holistics feels like more platform than you need.

Its open-source edition gives teams a free, self-hosted route into BI. The visual query builder also makes it accessible to users who do not want to work in SQL or code for every question.

That simplicity is its biggest advantage.

You can connect a database and get useful dashboards running quickly.

Paid tiers add the controls needed for more serious deployments, including white-labeling, row and column permissions, SSO and multi-tenant embedding.

The trade-off is that Metabase is not built around the same analytics-as-code philosophy as Holistics.

If Git-based modeling and sophisticated semantic definitions are the reason you are evaluating Holistics, Metabase may feel too lightweight.

If the goal is accessible BI with an open-source starting point, it may be exactly enough.

Read Luzmo's full guide to Metabase alternatives.

Best for: startups and smaller teams that want approachable BI, open-source flexibility and a lower barrier to entry.

6. Cube

Cube is a different kind of Holistics alternative.

Instead of bundling semantic modeling with one primary BI experience, Cube centers the semantic layer itself.

Teams define governed metrics, permissions and business logic, then serve that layer to several downstream surfaces through APIs, dashboards, analytics chat and other applications.

That model makes sense when the organization wants one data-serving foundation for more than BI.

Your product may need metrics. Internal dashboards need the same definitions. AI agents need governed context. Another application needs an API.

Cube can sit in the middle.

Holistics keeps more of the modeling and consumption experience inside one BI platform.

The trade-off is ownership. A headless or infrastructure-first model gives your team more architectural flexibility, but it can also leave more of the final user experience to your own developers.

Best for: engineering and data platform teams that want a reusable semantic layer serving several tools, APIs and AI experiences.

7. GoodData

GoodData is the enterprise-heavy option on this list.

It combines a governed semantic foundation with embedded analytics, multi-tenancy, AI, SDKs and deployment flexibility.

Its current Professional pricing model is based on a platform fee plus workspaces, with unlimited users and data. Exact pricing requires a sales conversation. Enterprise plans add more deployment, governance and support options.

For customer-facing products, GoodData supports white-labeling, embedded dashboards, self-service analytics and multi-tenant deployment patterns.

Compared with Holistics, GoodData is more likely to enter the conversation when enterprise architecture, deployment control and large-scale tenant management are major requirements.

The trade-off is implementation weight.

Smaller product teams may find themselves buying a broader platform than they need.

Luzmo has a full guide to GoodData competitors and a direct Luzmo vs. GoodData comparison.

Best for: enterprises and regulated products that need strong governance, multi-tenancy and deployment flexibility.

How to choose the right Holistics alternative

Start with the reason Holistics is on your shortlist.

The most important distinction is not the number of charts or connectors.

It is the layer you want the platform to own.

Holistics can own modeling, BI, self-service and an embedded analytics portal.

Lightdash is closer to a dbt-native analytics workflow.

Cube can become shared semantic infrastructure.

Luzmo owns more of the customer-facing product experience.

Choose that architecture first. Feature comparisons make much more sense after.

The bottom line

Holistics is a capable analytics platform for teams that like code-based governance, Git workflows, semantic modeling and self-service BI.

Its 2026 product is also much stronger in embedded analytics and AI than older descriptions of Holistics suggest. It supports white-labeling, tenant-aware permissions, embedded self-service and AI inside customer-facing experiences.

The decision is no longer "Holistics can or cannot embed."

It clearly can.

The better question is what kind of embedded experience do you want to build, and how much of it should the analytics vendor own?

For data teams that want analytics-as-code at the center, Holistics remains a compelling option.

For SaaS product teams that want analytics to disappear into their product, Luzmo is the stronger fit. It combines embedded analytics, self-service, multi-tenancy, composable components and AI around the customer-facing experience rather than around an internal BI workflow.

That is the distinction to make before comparing feature lists.