Self-service analytics with
programmable semantic layer

Holistics helps data teams set up AI-assisted self-service BIs that are powerful and reliable.

Define metrics once. Every dashboard and AI answer pulls from the same truth

Code-defined metrics that your team reviews and AI reads natively

Governed datasets that business users and AI explore without breaking anything

Semantic modeling layer Define metrics, dimensions, and business logic in one governed layer. Every dashboard, AI answer, and exploration pulls from the same source of truth.

AI-assisted self-service AI that reasons over your semantic layer, not raw SQL. Business users ask complex questions and trust every answer.

Analytics as-code Every model, metric, and dashboard defined as code, not half in a GUI, half in scripts. All readable by your team, reviewable in Git, and natively understandable by AI.

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Artificial intelligence that is powerful and reliable

Most BI tools generate raw SQL behind the scenes. Holistics AI reasons over your semantic layer, so every answer is grounded in your governed metric definitions. You can see exactly how it got there.

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Ask hard questions. Get real answers.

Multi-turn data exploration where context carries from question to question. The AI handles running totals, rolling windows, and root cause analysis because it reasons at the semantic level, not by generating raw SQL.

Find the right metric before you build the wrong one.

Search across metrics, datasets, and dashboards. See definitions, lineage, and usage context — so your team uses the right data, not just the nearest data.

Teach the AI your business, precisely.

Define organization-level instructions and per-team context. The AI draws from your semantic models and metric definitions — and gets smarter as your semantic layer grows.

Guido Stark Head of Data, World Vision New Zealand

I'm seriously impressed with Holistics AI capabilities. It actually understands the content and generates working solutions, even for edge cases not directly covered.

Reliable natural language BI
with composable semantic layer

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Define analytics logic in one single place

Build reports off these well-defined metrics and dimensions.
Reusable: Update business logic once, auto-propagate to all reports.
Accuracy: Metric definitions are consistent across different reports.
No more fighting over which metrics are "right".

Learn more Define analytics logic in one single place

"The semantic layer is Holistics’ biggest draw because I was able to build reusable models, dimensions, metrics, and then describe them as code."

Sterling Paramore

Sr Staff Data Engineer , Mainspring Energy

Build models, reports & dashboards using code

Define analytics logic using our code-based analytics language. Check in to Git. Perform code reviews before deploying.
Manage your BI system the same way you manage software development.

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"Holistics effectively allows us to be repeatable. We add a new client, copy and paste all the data models, and change the data source. Done!"

David Aldred

Insight Director , Retail Insight

Turn dashboards into content-rich narrative

Freely add and arrange visualizations, filters, and texts on a blank canvas to build your narrative reports.
This allows business users to consume & explore data in a form that’s more natural to humans’ thinking process.

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"I've been waiting for the ability to make a dashboard look like a narrative report with description or analysis upfront. This is gonna be awesome!"

Thi Nguyen

Product Manager , dbdiagram

Curate datasets for self-serve analytics

Simplify self-serve process with pre-built datasets. Everyone can confidently achieve complex aggregation results with minimal effort.
No more “request queue frustration” for both business & data teams.

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"Holistics is our go-to platform for analyzing and sharing company data reports due to its deceptive ease of use, customizable filters, efficiency, and more. Our non-technical teams all love Holistics."

Gabriel Chong

Data Operations Manager , 99co

Integration with dbt

Holistics integrates deeply with dbt, allowing metadata from dbt to be surfaced to the BI layer.
Leverage dbt as a central place for data documentation and use Holistics as the central entrypoint for data consumers.

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"Holistics’s dbt integration was the biggest draw for me and demonstrates a clear understanding of where the modern data stack is headed."

Stuart Shiell

Lead Data Insight , Semios

End-to-end semantics. That's the difference.

Every modern BI tool claims a semantic layer. But ask for a running total by segment, a rolling window by region, or a custom retention cohort, and most can’t express it. The moment you do, you’ve left the semantic layer behind — back to table calculations, raw SQL, or “ask an analyst.”

And once you’re outside the semantic layer, governance breaks down and self-serve stops scaling.

Learn more about the semantic layer

Capability

Conventional BI

Holistics

Outcome

Composable metrics

Running totals, rolling windows, nested aggregations, period-over-period comparisons

Falls back to table calculations or raw SQL for complex logic

First-class composable metric definitions inside the semantic layer

✅ Self-service ✅ Governance

Business-centric self-service

Cohorts, funnels, retention curves, segmented breakdowns — analysis business users actually need

Advanced analysis requires analyst to build custom reports — or users bypass governance with raw SQL

1-click advanced analysis without leaving the semantic layer — users stay within governed definitions

✅ Self-service ✅ Governance

AI that reasons over semantics

Ask a follow-up question and get an answer that builds on the last one — not a fresh SQL query from scratch

Generates raw SQL — context lost between questions, AI ignores governed definitions

Reasons over semantic layer in AQL — multi-turn context preserved, AI respects metric governance

✅ Self-service ✅ Governance

Git version control

Who changed what, when, why — for every metric, model, and dashboard definition

UI-configured, no audit trail, definitions drift

Code-defined, Git-backed, code-reviewed — full change history

✅ Governance

Programmable semantic layer

Models, metrics, and dashboards defined as code — readable by humans, AI, and automation

Duplicated logic across dashboards, reports, exports

Define once, reuse everywhere — AI, dashboards, embedded analytics

✅ Governance

Sterling Paramore Sr Staff Data Engineer, Mainspring Energy

The semantic layer is Holistics' biggest draw because I was able to build reusable models, dimensions, metrics, and then describe them as code.

Data teams that made the switch

NASDAQ-listed. Autonomous vehicle tech. 1,000 end users.

"We evaluated 41 BI tools, including mature companies, startups, open source solutions. During that process, I stumbled upon Holistics, tried it, and liked it a lot."

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Replaced Tableau and Looker. Data team of 3.

"Working with Holistics is completely different from companies like Tableau or Looker. Your team moves fast, and I can see ideas turn into features in real time."

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Migrated from Looker Studio. Marketing AI platform.

"Holistics has democratized the ability to get the right data at any given point and then visualize it in a very simple way."

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Holistics, built to help your business grow

Hands-on support

White-glove support from people who actually build the product.

From your first dashboard to scaling, the Holistics team is here to make you successful.

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The support has been great. We get updates, fixes, or even just helpful advice when it's not a technical issue. That level of responsiveness was a huge factor in our decision.

Even before we were paying customers, we felt important. That engagement—that sense that we matter—is one of the biggest reasons we chose Holistics.

Rob Winters

Head of Data, Lepaya

Trusted by teams worldwide

Hear from data-driven teams who've transformed their workflows with Holistics.

We evaluated BI tools across the market. I went through an evaluation process, reviewing around 41 options, including mature companies, startups, open source solutions. During that process, I stumbled upon Holistics, tried it, and liked it.

Staff Data Scientist

Aurora (NASDAQ-listed)

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Excellent BI tool for customers looking for a Looker alternative. Coming from a Looker background, I was very familiar with its concepts of analytics-as-code, and we have achieved everything we needed for reporting.

Alex H

Head of Data, Pinter

The metrics dataset component is really critical for companies that don't have a real data team to build everything all the time. In the work I do, I recommend Holistics to people all the time.

Pedram Navid

Consultant/Founder, West Marine Data

The ability for everyone to explore: Massive win. The one feedback we've had over and over again from the whole company is “Man, how did you guys go through your process? Because you choose such a great tool.”

Guido Stark

Head of Data, Optimal Workshop

Holistics is the next big BI Tool. It took me 2 hours to build the same report in Holistics that I took 16 hours to build in Tableau.

Stephen Motherwell

Chief of Product, Ordo

Holistics became an excellent choice to get us going in BI without the typical huge annual expense. We have built visualizations in Holistics that took it way beyond the 'out-of-the-box' tools.

Seth L

Chief of Product, Oxbridge Health

As an analytics engineer, I was looking for a tool that allowed me a lot of data modeling flexibility and reusability. With Analytics as code, Holistics does a great job of being able to define data models and relationships using code.

Sterling P

Chief of Product, Mainspring Energy

They are great. They are continuously improving the platform and releasing new features, so we know that what we don't have right now will be at some point :)

Marta Garrido

Head of Data, MyRealFood

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Want to understand the complex landscape of data analytics?

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Get a soup-to-nuts overview of the broader data landscape in less than 200 pages. (Plus we drew all the pictures ourselves!)

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Data Engineer

Want to understand the complex landscape of data analytics?

In the press

Holistics has received positive reviews for its innovative data analytics approach, enabling businesses to make informed, data-driven decisions easily.