Dataform

Dataform

Google
Mitzu

Mitzu

Mitzu.io
+
+

Related Products

  • Google Cloud BigQuery
    2,027 Ratings
    Visit Website
  • DbVisualizer
    593 Ratings
    Visit Website
  • DataBuck
    6 Ratings
    Visit Website
  • Parasoft
    152 Ratings
    Visit Website
  • AnalyticsCreator
    46 Ratings
    Visit Website
  • Anaconda
    625 Ratings
    Visit Website
  • Creatio
    589 Ratings
    Visit Website
  • Coevera
    753 Ratings
    Visit Website
  • LTX
    182 Ratings
    Visit Website
  • Pipedrive
    12,537 Ratings
    Visit Website

About

Dataform enables data analysts and data engineers to develop and operationalize scalable data transformation pipelines in BigQuery using only SQL from a single, unified environment. Its open source core language lets teams define table schemas, configure dependencies, add column descriptions, and set up data quality assertions within a shared code repository while applying software development best practices, version control, environments, testing, and documentation. A fully managed, serverless orchestration layer automatically handles workflow dependencies, tracks lineage, and executes SQL pipelines on demand or via schedules in Cloud Composer, Workflows, BigQuery Studio, or third-party services. In the browser-based development interface, users get real-time error feedback, visualize dependency graphs, connect to GitHub or GitLab for commits and code reviews, and launch production-grade pipelines in minutes without leaving BigQuery Studio.

About

Mitzu is an agentic analytics platform that runs your analytics directly on your data warehouse — no data copying, no reverse ETL, no SQL required. Its AI analytics agent answers business questions autonomously: it maps your schema, writes and executes queries on Snowflake, BigQuery, Redshift, Databricks, or ClickHouse, and returns explainable results with full SQL visibility. Teams get instant access to funnels, retention, cohorts, user journeys, and revenue metrics. Mitzu also proactively monitors KPIs and sends anomaly alerts via Slack or email. Available as SaaS, BYOC, or fully self-hosted. Free trial available at mitzu.io

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Data analysts and engineers requiring a solution to build, test, document, and orchestrate production-ready BigQuery data pipelines

Audience

Product manager, Data analyst

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

$35 per month
Editor-based
Free Version Not Supported
Free Trial Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 5.0 / 5
ease 4.0 / 5
features 5.0 / 5
design 4.0 / 5
support 5.0 / 5

Pros & Cons from Real Users

Pros

  • I loved that it directly works with BigQuery, and I don't have to use the reverse ETL tool. Also, as it is self-service my non-technical colleagues can use it. Cant wait for the new features!

Cons

  • The UX can be improved slightly, but it's still user-friendly.

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Not Supported

Company Information

Google
Founded: 1998
United States
cloud.google.com/dataform

Company Information

Mitzu.io
Founded: 2022
United States
mitzu.io

Alternatives

dbt

dbt

dbt Labs

Alternatives

Astrato

Astrato

Astrato Analytics
REGRESSwise

REGRESSwise

iQspeaks Limited
Compass

Compass

Dagster Labs

Categories

Data Pipeline Supported

Categories

Product Analytics Supported

Product Analytics Features

Attribution Supported
Automatic Data Capture Supported
Churn Reporting Supported
Customer Feedback Collection Not Supported
Customer Guidance Not Supported
Customer Journey Analytics Supported
Data Export Supported
Data History Retention Not Supported
Data Labeling Supported
Product Engagement Scoring Not Supported
Real-Time Data Analysis Supported
Touchpoint Analytics Not Supported
User Segmentation Supported

Integrations

Google Cloud BigQuery Supported
Amazon Athena Not Supported
Amazon Redshift Not Supported
ClickHouse Not Supported
Databricks Not Supported
GitHub Supported
GitLab Supported
Google Cloud Managed Service for Apache Airflow Supported
Jitsu Not Supported
PostgreSQL Not Supported
RudderStack Not Supported
SQL Supported
Segment Not Supported
Snowflake Not Supported
Snowplow Analytics Not Supported
Trino Not Supported

Integrations

Google Cloud BigQuery Supported
Amazon Athena Supported
Amazon Redshift Supported
ClickHouse Supported
Databricks Supported
GitHub Not Supported
GitLab Not Supported
Google Cloud Managed Service for Apache Airflow Not Supported
Jitsu Supported
PostgreSQL Supported
RudderStack Supported
SQL Not Supported
Segment Supported
Snowflake Supported
Snowplow Analytics Supported
Trino Supported
Claim Dataform and update features and information
Claim Dataform and update features and information
Claim Mitzu and update features and information
Claim Mitzu and update features and information