Run data contracts at scale, collaboratively across teams

Run data contracts at scale, collaboratively across teams

Run data contracts at scale across teams

Define data expectations, enforce them automatically, and prevent issues before they hit production.

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dataset: test_source/unity_catalog/arthur/retail_orders
checks:
- schema: {}
- freshness:
column: order_datetime
threshold:
unit: hour
must_be_less_than_or_equal: 24
columns:
- name: order_id
data_type: string
- name: last_name
data_type: string
- name: email
data_type: string
- name: payment_method
data_type: string
- name: order_value
data_type: double
- name: order_quantity
data_type: string
- name: order_datetime
data_type: timestamp
- name: country_code
data_type: string
- name: dim_idx
data_type: int
contract ui

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Make data contracts work in production

Data contracts create value when they are enforced in production. Soda makes contracts executable and brings contract definition, collaboration, and enforcement into one platform.

Shift data quality left

Catch breaking changes at the point of data production by enforcing data contracts continuously in pipelines and orchestration workflows.

Shared ownership across Business and Engineering

Teams collaborate on contract expectations in code or UI, with execution results keeping everyone aligned as data changes.

Scale coverage with AI

Autopilot automatically derives contracts from your production data for immediate coverage. Copilot helps everyone create the right contracts, fast.

Make data contracts work in production

Data contracts create value when they are enforced in production. Soda makes contracts executable and brings contract definition, collaboration, and enforcement into one platform.

Shift data quality left

Catch breaking changes at the point of data production by enforcing data contracts continuously in pipelines and orchestration workflows.

Shared ownership across teams

Teams collaborate on contract expectations in code or UI, with execution results keeping everyone aligned as data changes.

Scale coverage with AI

Autopilot automatically derives contracts from your production data for immediate coverage. Copilot helps everyone create the right contracts, fast.

Make data contracts work in production

Data contracts create value when they are enforced in production. Soda makes contracts executable and brings contract definition, collaboration, and enforcement into one platform.

Shift data quality left

Catch breaking changes at the point of data production by enforcing data contracts continuously in pipelines and orchestration workflows.

Shared ownership across Business and Engineering

Teams collaborate on contract expectations in code or UI, with execution results keeping everyone aligned as data changes.

Scale coverage with AI

Autopilot automatically derives contracts from your production data for immediate coverage. Copilot helps everyone create the right contracts, fast.

AI that writes data contracts with you

Ask in plain English to create or refine Data Contracts, and let the Contracts Copilot generate ready-to-deploy versions in seconds. Enjoy faster setup, consistent standards, and automation that removes the repetitive work across your data stack.Even inside the UI, the Copilot updates and completes your contracts for you. No extra clicks needed.

contract copilot
Datasets
Search
RESULTS: 121
DATASET
VERSION
CHECKS
ANOMALIES
fct_orders
warehouse / analytics / core
v4!
✓ 0
dim_customers
warehouse / analytics / core
v4!
✓ 0
stg_stripe_payments
warehouse / staging / stripe
v4!
✓ 0
mart_revenue_daily
warehouse / marts / finance
v4!
✓ 0
raw_clickstream_events
lake / raw / web
v4!
✓ 0
user_identity_graph
warehouse / analytics / identity
v4!
! 3
subscription_ledger
warehouse / marts / billing
v4!
✓ 0
product_catalog
warehouse / core / product
v4!
✓ 0
session_attribution
warehouse / analytics / marketing
v4!
✓ 0
inventory_snapshots
warehouse / ops / inventory
v4!
✓ 0
churn_signals
warehouse / ml / features
v4!
! 1
ad_spend_rollup
warehouse / marts / marketing
v4!
✓ 0
support_tickets
warehouse / staging / zendesk
v4!
✓ 0
nps_responses
warehouse / analytics / cx
v4!
✓ 0
order_items
warehouse / core / orders
v4!
✓ 0
payment_refunds
warehouse / marts / billing
v4!
✓ 0
web_sessions
lake / raw / web
v4!
✓ 0
feature_flags
warehouse / core / product
v4!
! 3
email_events
warehouse / staging / sendgrid
v4!
! 2
ltv_predictions
warehouse / ml / features
v4!
! 1
Datasets
Search
RESULTS: 121
DATASET
VERSION
CHECKS
ANOMALIES
fct_orders
warehouse / analytics / core
v4!
✓ 0
dim_customers
warehouse / analytics / core
v4!
✓ 0
stg_stripe_payments
warehouse / staging / stripe
v4!
✓ 0
mart_revenue_daily
warehouse / marts / finance
v4!
! 3
raw_clickstream_events
lake / raw / web
v4!
! 3
user_identity_graph
warehouse / analytics / identity
v4!
✓ 0
subscription_ledger
warehouse / marts / billing
v4!
! 1
product_catalog
warehouse / core / product
v4!
✓ 0
session_attribution
warehouse / analytics / marketing
v4!
! 1
inventory_snapshots
warehouse / ops / inventory
v4!
✓ 0
churn_signals
warehouse / ml / features
v4!
✓ 0
ad_spend_rollup
warehouse / marts / marketing
v4!
✓ 0
support_tickets
warehouse / staging / zendesk
v4!
✓ 0
nps_responses
warehouse / analytics / cx
v4!
! 2
order_items
warehouse / core / orders
v4!
! 1
payment_refunds
warehouse / marts / billing
v4!
✓ 0
web_sessions
lake / raw / web
v4!
✓ 0
feature_flags
warehouse / core / product
v4!
✓ 0
email_events
warehouse / staging / sendgrid
v4!
✓ 0
ltv_predictions
warehouse / ml / features
v4!
✓ 0
Datasets
Search
RESULTS: 121
DATASET
VERSION
CHECKS
ANOMALIES
fct_orders
warehouse / analytics / core
v4!
✓ 0
dim_customers
warehouse / analytics / core
v4!
✓ 0
stg_stripe_payments
warehouse / staging / stripe
v4!
! 2
mart_revenue_daily
warehouse / marts / finance
v4!
! 2
raw_clickstream_events
lake / raw / web
v4!
✓ 0
user_identity_graph
warehouse / analytics / identity
v4!
✓ 0
subscription_ledger
warehouse / marts / billing
v4!
✓ 0
product_catalog
warehouse / core / product
v4!
✓ 0
session_attribution
warehouse / analytics / marketing
v4!
✓ 0
inventory_snapshots
warehouse / ops / inventory
v4!
✓ 0
churn_signals
warehouse / ml / features
v4!
✓ 0
ad_spend_rollup
warehouse / marts / marketing
v4!
✓ 0
support_tickets
warehouse / staging / zendesk
v4!
✓ 0
nps_responses
warehouse / analytics / cx
v4!
✓ 0
order_items
warehouse / core / orders
v4!
✓ 0
payment_refunds
warehouse / marts / billing
v4!
✓ 0
web_sessions
lake / raw / web
v4!
✓ 0
feature_flags
warehouse / core / product
v4!
✓ 0
email_events
warehouse / staging / sendgrid
v4!
✓ 0
ltv_predictions
warehouse / ml / features
v4!
✓ 0

AI that automatically derives contracts from your own data

Contracts Autopilot analyzes real production data to recommend ready-to-use data contracts in seconds. Instead of guessing requirements or starting from scratch, teams start with contracts covering the most important data quality expectations and keep them aligned as data evolves. No blank pages. No reverse-engineering.

Version control collaboration between Business and Engineering

Engineers work in Git. Business users work in the UI. Every change is versioned, with proposals and diffs available in both views. Business users can propose updates directly from the UI, and engineers can review and verify them where they’re most comfortable, in code or in the UI.

data contract

See data contracts running in production

Soda brings contract definition, collaboration, and enforcement into one platform. Shift expectations left, scale coverage with AI, and prevent breaking changes before they reach consumers. Book a demo and see data contracts in aciton.

Trusted by the world’s leading enterprises

Real stories from companies using Soda to keep their data reliable, accurate, and ready for action.

At the end of the day, we don’t want to be in there managing the checks, updating the checks, adding the checks. We just want to go and observe what’s happening, and that’s what Soda is enabling right now.

Sid Srivastava

Director of Data Governance, Quality and MLOps

Investing in data quality is key for cross-functional teams to make accurate, complete decisions with fewer risks and greater returns, using initiatives such as product thinking, data governance, and self-service platforms.

Mario Konschake

Director of Product-Data Platform

Soda has integrated seamlessly into our technology stack and given us the confidence to find, analyze, implement, and resolve data issues through a simple self-serve capability.

Sutaraj Dutta

Data Engineering Manager

Our goal was to deliver high-quality datasets in near real-time, ensuring dashboards reflect live data as it flows in. But beyond solving technical challenges, we wanted to spark a cultural shift - empowering the entire organization to make decisions grounded in accurate, timely data.

Gu Xie

Head of Data Engineering

4.4 of 5

Your data has problems.
Now they fix themselves.

Automated data quality, remediation, and management.

One platform, agents that do the work, you approve.

Trusted by

Trusted by the world’s leading enterprises

Real stories from companies using Soda to keep their data reliable, accurate, and ready for action.

At the end of the day, we don’t want to be in there managing the checks, updating the checks, adding the checks. We just want to go and observe what’s happening, and that’s what Soda is enabling right now.

Sid Srivastava

Director of Data Governance, Quality and MLOps

Investing in data quality is key for cross-functional teams to make accurate, complete decisions with fewer risks and greater returns, using initiatives such as product thinking, data governance, and self-service platforms.

Mario Konschake

Director of Product-Data Platform

Soda has integrated seamlessly into our technology stack and given us the confidence to find, analyze, implement, and resolve data issues through a simple self-serve capability.

Sutaraj Dutta

Data Engineering Manager

Our goal was to deliver high-quality datasets in near real-time, ensuring dashboards reflect live data as it flows in. But beyond solving technical challenges, we wanted to spark a cultural shift - empowering the entire organization to make decisions grounded in accurate, timely data.

Gu Xie

Head of Data Engineering

4.4 of 5

Your data has problems.
Now they fix themselves.

Automated data quality, remediation, and management.

One platform, agents that do the work, you approve.

Trusted by

Trusted by the world’s leading enterprises

Real stories from companies using Soda to keep their data reliable, accurate, and ready for action.

At the end of the day, we don’t want to be in there managing the checks, updating the checks, adding the checks. We just want to go and observe what’s happening, and that’s what Soda is enabling right now.

Sid Srivastava

Director of Data Governance, Quality and MLOps

Investing in data quality is key for cross-functional teams to make accurate, complete decisions with fewer risks and greater returns, using initiatives such as product thinking, data governance, and self-service platforms.

Mario Konschake

Director of Product-Data Platform

Soda has integrated seamlessly into our technology stack and given us the confidence to find, analyze, implement, and resolve data issues through a simple self-serve capability.

Sutaraj Dutta

Data Engineering Manager

Our goal was to deliver high-quality datasets in near real-time, ensuring dashboards reflect live data as it flows in. But beyond solving technical challenges, we wanted to spark a cultural shift - empowering the entire organization to make decisions grounded in accurate, timely data.

Gu Xie

Head of Data Engineering

4.4 of 5

Your data has problems.
Now they fix themselves.

Automated data quality, remediation, and management.

One platform, agents that do the work, you approve.

Trusted by