Why Holistics over Tableau?

Reimagine your Tableau dashboards as code. Get Tableau-level flexibility with Git-based workflows for centralized BI governance.

Stronger as-code workflows

Define dashboards, metrics, and models as code with full Git version control, branching, and code reviews.

Governed self-service exploration

Users drag and drop fields into a unified exploration view, backed by trusted, centrally defined metrics.

Reusable, DRY components

Parameterize components once, reuse them everywhere. No more manually recreating dashboards.

Dev-to-prod deployment pipelines

Separate dev, test, and production environments for safe building and testing before deployment.

Same visual flexibility, less maintenance

Canvas-style dashboard design with rich visualizations and full interactivity without GUI-only maintenance.

Your DRY (Don't Repeat Yourself) philosophy resonated very well with me. The fact that I can write just BI definitions once at the semantic modeling and dashboard level and reuse them anywhere is huge.

Our data team is very lean, so being able to handle bulk edits, and updates across dashboards, all without having to sift through the UI manually, is game-changing.

– Head of Enterprise Analytics at Strongmind

Read the case study

Closing The Gaps Between Tableau and Analytics Engineering

Semantic Modeling Layer

Manage Analytics Logic Centrally

Define analytics logic in a shared, accessible semantic layer.

Metrics are defined, extended, and reused across the organization to ensure consistency and accuracy everywhere.

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

Sterling Paramore

Sr Staff Data Engineer, Mainspring Energy

Reusable BI Components

Build Once, Reuse Everywhere

Parameterize your reporting widgets and dashboard components using variables, and reuse them anytime, anywhere.

No more manually recreating new dashboards for every new data request.

Your DRY (Don’t Repeat Yourself) philosophy resonated very well with me. The fact that I can write just BI definitions once at the modeling and dashboard level and reuse them anywhere is huge.

Mike Kunz

Mike Kunz

Head of Enterprise Analytics, StrongMind

Git Version Control

Track Every Dashboard Change with Git

Know who changes what and when.

Commit your analytics code to Git version control and track every change with full audit trails. Perform branching and code reviews to ensure accurate analytics workflow.

Everything about Holistics resonated very well with our software engineers. They can write code to describe BI logic, check them into Git version control, and make the whole process more maintainable.

Craig Wilson

Craig Wilson

Staff Data Engineer, ZOE

Dashboard As Code

Maintain and Update Dashboards At Scale

No more GUI clicking or eyeballing to hunt down broken dashboards.

Define dashboards as code to update hundreds of reports instantly. Auto-validation catches broken dashboards before production, and search-and-replace handles schema changes across your entire stack.

The ability to parameterize a widget using variables was a game changer. Rebuilding that 97-widget dashboard now takes minutes instead of hours.

Mike Kunz

Mike Kunz

Head of Enterprise Analytics, StrongMind

Separate Development Environments

Deploy Through Dev-to-Prod Pipelines

Separate dev, test, and production environments mirror your software development practices.

Build and test against development datasets, then promote changes through automated pipelines. Business users only see validated, production-ready dashboards.

Having separate dev and prod environments means we can test everything safely before our users see it.

Thi Nguyen

Thi Nguyen

Lead Product Manager, Dbdiagram

Deploy Through Dev-to-Prod Pipelines

Self-service Analytics

Enable Governed Self-service Analytics For Everyone

Move beyond static filtering. Drag and drop fields from any table into a unified exploration view.

Users explore data using trusted, governed metrics while underlying data stays consistent across all analysis.

The ability for everyone to explore: Massive win!
The whole culture has shifted. Now anyone who needs to can explore data and create reports.

Guido Stark

Guido Stark

Head of Data, Optimal Workshop

Same Beautiful Analytics
Zero Feature Trade-offs

Canvas Dashboard

Get The Same Visual Excellence

Build custom, stunning dashboards with the flexibility of a blank canvas.

Freely drag and drop analytics blocks to create custom layouts, add business context, and build dashboards everyone actually uses.

When I demoed Canvas Dashboard to our Product Design team, they said ‘This is incredible, I can design information the way I want clients to interact with it.’ That was such a huge win for us.

Rob Winters

Rob Winters

Head of Data, Lepaya

Custom Themes

Keep Your Dashboards On-Brand

Set custom color palettes, typography styles, and consistent branding across all dashboards.

Create reusable themes that you can extend and build on, without starting design work from scratch every time.

Your branding capabilities have been really helpful. The brand team was really happy with how we're now able to customize much of our dashboards.

Serena

Serena

Director of Content Marketing, DNSFilter

Open-source Chart Library

Build Just As Rich Visualizations

Meet any analytical need with an extensive library of custom visualizations.

Access rich chart types and advanced visualizations that go beyond basic bar charts and line graphs.

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

Stephen Motherwell

Stephen Motherwell

Chief of Product, Ordo

1-click Analytical Functions

Maintain Full Interactivity

Deliver the same interactive experience users know from Tableau with filters, cross-filters, drill-downs, time comparisons, and one-click analytics.

Our finance team is fully onboarded and has been able to do a lot of self-service. They're now able to do a lot of their own data analysis themselves.

Juan Argote

Juan Argote

Director of Data Science, Aurora

Don't Just Take Our Words For It

Here's How Happy Our Customers Are

Frequently Asked Questions

As users of a lot of softwares ourselves, we hate vendor lock-in. If you ever decide that Holistics is not the right tool for you and want to migrate, you can do that easily with our upcoming Business Intelligence as code. Your entire BI project will be represented as text and checked in to your Git repository.
Yes. Read more about our GDPR Statement.

We also have a standard Data Privacy Agreement provided upon request, please email [email protected] for more information.
Yes, Holistics is SOC2 Type II Compliant. If you'd like to see our SOC 2 Type II Attestation, Contact Us.

Holistics is intuitive, both technical and non-technical people can pick it up pretty fast.

For Data Consumers: zero learning curve. They can create their own charts and dashboards without writing SQL, using a drag-and-drop interface.

For Data/technical teams: just SQL knowledge is needed in terms of skills.
We support most popular SQL databases and data warehouses: Google BigQuery, Amazon Redshift, Snowflake, Presto, ClickHouse, AWS Athena, PostgreSQL, MySQL, SQL Server. See full list.
Although we're based in Singapore (Asia), the majority of our customers are in US and Europe. Despite the time zone difference, Customer Support has been among our most praised qualities from our customers.