Data transformation —without the waste

Eliminate preventable errors, blind spots, and wasteful compute. Tobiko Cloud equips you with state-aware tools, so you can confidently run only the changes that matter.

Add Column
Update Column
Remove Column
Invalid SQL Syntax

Try it out:

id
ord_id
method
date
amount
id
ord_id
method
date
amounts
new_col
DECORATIVE
Column “amounts” could not be resolved.
For more info, please check this path: /user/desktop/git_repos/tobiko_cloud...
DECORATIVE
Tobiko saves resources by not re-processing the unaffected tables downstream

The downstream tables don't use this new column, so we can skip it
DECORATIVE
When updating, Tobiko keeps track of the calculations from the past five years
DECORATIVE
Tobiko saves resources by not re-processing the tables downstream that were unaffected

The downstream tables don't use that dropped column, so we can skip it
DECORATIVE
We prevented simple spelling errors before running anything in your data warehouse
user_id
first_name
last_name
first_ord
last_ord
sur_key
ord_id
user_id
date
status
amount
DECORATIVE
Tobiko processes these rows in scope as a forward-only change
DECORATIVEDECORATIVEDECORATIVEDECORATIVE
It’s everything
dbt™ wishes it was
From wasteful and costly...

dbt™ won’t show you how pipeline updates will affect downstream tables and columns.

because it needs complex commands to run, dbt™ demands tribal knowledge and is prone to errors.

your development environment uses outdated production table clones and causes deferral errors and sky-high warehouse costs.

DECORATIVEDECORATIVE
To smart and efficient

Tobiko Cloud offers complete visibility and control over your data pipelines.

Smart Updates Icon
Smart
Updates

We automatically track SQL changes and run history, so you’ll update only impacted tables during development and production runs.

Optimized Builds Icon
Optimized
Builds

Tobiko Cloud tracks intervals, code changes, and run history to build only what’s needed — no need for error-prone commands.

Cost Effective Workflows Icon
Cost-effective
Workflows

Instantly create an exact copy of production for development without the extra warehouse processing costs.

What you get with Tobiko Cloud
6x
faster
model build time
35%
lower costs
on data warehouses
42%
productivity boost
after switching to Tobiko

Debug transformation errors before you run them in your warehouse

Tobiko parses your SQL code in advance, so you can spot syntax and compile time issues in seconds... then fix them without waiting on the warehouse.

Create isolated development environments with near-zero data warehouse costs

We track state and run history to create virtual data environments using views, so you'll see:

  • An exact copy of production data for development
  • True blue-green deployments promoting data back into production
  • Near-zero warehouse processing costs

See what impacts
your pipeline with
column-level lineage

Tobiko Cloud goes way beyond a visual of column data flow — it instantly shows how your changes impact downstream columns and tables (both breaking and non-breaking).

Save time and costs, using state-aware architecture

Unlike dbt™, which wastes resources processing everything, we track what data’s been modified and run only the necessary transformations — saving you time and money.

DECORATIVEDECORATIVE
Created for modern data teams, by data leaders from:
Google LogoApple LogoAirbnb LogoNetflix Logo
Naoya Kanai
Tobiko helped our team organize and build the analytics data warehouse

Before Tobiko, we were operating solely on read replicas of prod Postgres databases, and we had no concept of building transformations for analytical purposes. Now we're able to build downstream analytics, assemble clean training sets for ML experiments, and iterate quickly in a collaborative fashion for anything data-related.

Naoya Kanai
ML Engineer at Strella Biotech
Aleks Mirkovic
Significant cost savings for our pipeline compute

SQLMesh intelligently understands SQL and what is being changed, so we can easily run an SQLMesh plan in development locally, and then promote it. There's no data duplication, and we don't have to store anything twice. It just makes sense.

Aleks Mirkovic
Director of Player Data Analytics at Dreamhaven.com
Alexander Butler
We now have a huge amount of trust in the data

I'm now able to work effectively right up to 10 minutes before a meeting, knowing that when I promote changes to prod, they will not only be ready in time for me to present my findings, but that it will only take a few seconds to update all the pointers and all my audits are running the way that they're designed to be run.

Alexander Butler
Senior Data Engineer at Harness.io

See how we raise the bar for developer experience and productivity!

Upgrade to Tobiko CloudUpgrade to SQLMesh
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SSO
yes
yes
SLAs
yes
yes
Native Per-Model Job Scheduling
no
yes
Unlimited concurrent running jobs
yes
yes
All model freshness reporting
no
yes
Logging & alerting
yes
yes
Warehouse cost savings calculator
no
yes
Virtual data environments
no
yes
Advanced column level lineage impact analysis
no
yes
Automatic Rollbacks
no
yes
First-class incremental models
no
yes
Cross database validation for migrations
no
yes
Native debugger view (not only logs)
no
yes
SQL Models
yes
yes
Python Models
yes
yes
Jinja support
yes
yes
Jinja macros
yes
yes
Python macros
no
yes
Virtual Data Environments
no
yes
Open-source CI/CD bot
no
yes
Blue/Green Deployments
no
yes
Multi-repository support
no
yes
SQL transpilation
no
yes
CLI
yes
yes
SQL semantic validation
no
yes
Unit tests
yes
yes
Table diff
no
yes
Data audits
yes
yes
Schema contracts
yes
yes
Data contracts
no
yes
Apache Airflow
Apache Spark
SQL Stored Procedures
Already in deep with dbt™?

No need to rewrite your whole project.

Tobiko Cloud is backwards-compatible with dbt to make the switch easy.

Run parts of your dbt and SQLMesh projects in harmony.

See how it works
Data transformation, built for scale
Common Questions

Got a pressing question that’s not in this list?

Ask us directly
Which data platforms do you support?

We are integrated with: Databricks, Snowflake, BigQuery, Redshift, MotherDuck, DuckDB, Athena, MySQL, MSSQL, Postgres, and GCP Postgres.

If you use a warehouse, engine, or other solution that's not listed here, talk to us or send us an email at hello@tobikodata.com

Do you support orchestration tools like Airflow and Dagster?

Tobiko Cloud has built-in scheduling and orchestration capabilities, but we also support Airflow (with Dagster to follow in late Q1 '25). Stay tuned for other integration announcements and roadmap updates by joining our Slack community.

Do you support only cloud, or also on-premise?

We provide three flexible options: cloud-only, metadata in the cloud with hybrid deployment, or fully on-premise. Contact us to find the setup that works best for your organization.

Does Tobiko Cloud need access to my data?

This will depend on your preferred setup:

  • Cloud-only: Full data access is required
  • Cloud with self-hosted runners: Only your SQL metadata access is needed; all warehouse operations stay in your environment.
  • Fully on-premise: No data access is required
Do I need dbt™ for Tobiko Cloud to work?

No, Tobiko Cloud is a standalone system. However, if you're already using dbt™, there's no need to redo any existing work. Tobiko Cloud is backwards-compatible with dbt™, so you can easily make the switch.

How is pricing structured?

Tobiko Cloud’s pricing consists of two components: a platform fee for access to all features and a pay-as-you-go fee for consumption.

Our pricing model does not limit the number of seats or projects. Contact our sales team to learn more and explore a pricing plan tailored to your needs.

To