dbt and AI-nativedata observability
Set up data observability in minutes—automated, actionable, and AI-ready.
Trusted by 5,000+ data and analytics engineers.
A Dev-first data quality platform
Monitor data pipelines in minutes, in your dbt project. Elementary is built for and trusted by 5000+ analytics and data engineers.
AI-powered observability
Elementary uses AI agents to automate the manual
work — so your team can focus on what actually moves the business forward.
Join 1000+ data teams who trust Elementary
Operationalize Data Quality
From detection to resolution, Elementary helps you reduce noise, respond faster, and improve over time—with AI agents that eliminate the busywork and drive efficiency.
Cut the Alert Noise
Simplified alerting and proactive detection help reduce noise and ensure teams only see what truly matters.
Resolve Issues Faster
Triage and resolve incidents faster by automatically escalating high-priority issues to the right people and driving ownership.
Track and Report Quality
A centralized solution with reporting drives visibility, accountability, and continuous improvement across teams.
Automate observability tasks
AI-powered workflows handle coverage, resolution, and metadata—creating fix-ready pull requests for your team to approve.
Cut the Alert Noise
Simplified alerting and proactive detection help reduce noise and ensure teams only see what truly matters.
Resolve Issues Faster
Triage and resolve incidents faster by automatically escalating high-priority issues to the right people and driving ownership.
Track and Report Quality
A centralized solution with reporting drives visibility, accountability, and continuous improvement across teams.
Automate observability tasks
AI-powered workflows handle coverage, resolution, and metadata—creating fix-ready pull requests for your team to approve.
We solve the hardest AI
and analytics problem
Your investment in AI and analytics is only as good as the quality of the data feeding it. Bad inputs lead to broken models, hallucinations, and decisions no one can trust.
Data quality is the #1 blocker to AI success and data product adoption.
Success stories from leading data teams
"Instead of manually defining thresholds for every dataset, Elementary automatically detect spikes, drops, and freshness issues across all business units—without redundant configurations."
"Each stakeholder can open the screen in the morning, get a quick overview of the data — and feel confident in its quality"
"With Elementary, we’re testing, tagging, and producing a ton of high-quality metadata — everything we need to establish that golden standard of trust."
Built for Enteprise
A dedicated team you can count on
When the tool is critical, you want a team of experts you can work with to ensure success.
Org-wide visibility
Know who’s doing what, where, and when.
Scale
Built to support complex data stacks and large organizations. Visual doesn’t fit the message.
Alert routing with context
Connect lineage, owners, and issues to notify the right people.
Secure by design
SSO, SCIM and RBAC to meet compliance.
The Data Observability Tool You’ll Actually Use
See how Elementary covers the entire data quality lifecycle—test coverage, incident triage, metadata, and performance. All in one platform, designed to work the way your team does.
Data Quality Tests
Manage dbt tests, Elementary tests and custom SQL tests from one place.
Anomaly Detection
ML-powered anomaly detection monitors automatically identify outliers and unexpected patterns in your data.
Data Lineage
Automated column-level lineage allows you to understand downstream impact and uncover root cause.
Incidents & Alerting
Streamline incident management, assign ownership, prioritize issues, notify consumers of impacts, and reduce alert fatigue.
Data Health Scores
Make data quality accessible to everyone by providing health scores by dimension and integrating scores into BI tools and catalogs.
Performance & Cost
Track failures and runs of jobs, models and test overtime. Fix performance issues that can cause incidents and create unecessary cost.
Data Catalog
Discover and trust reliable data by exploring assets, viewing dependencies and test results, and accessing SQL queries for transparency.
Data Quality Tests
Manage dbt tests, Elementary tests and custom SQL tests from one place.
Anomaly Detection
ML-powered anomaly detection monitors automatically identify outliers and unexpected patterns in your data.
Data Lineage
Automated column-level lineage allows you to understand downstream impact and uncover root cause.
Incidents & Alerting
Streamline incident management, assign ownership, prioritize issues, notify consumers of impacts, and reduce alert fatigue.
Data Health Scores
Make data quality accessible to everyone by providing health scores by dimension and integrating scores into BI tools and catalogs.
Performance & Cost
Track failures and runs of jobs, models and test overtime. Fix performance issues that can cause incidents and create unecessary cost.
Data Catalog
Discover and trust reliable data by exploring assets, viewing dependencies and test results, and accessing SQL queries for transparency.
Integrates with everything in your stack
Can't find what your looking for?
Tell us and we'll get right on it.
“Great tool you have here, more annoying that i've only just discovered it rather than anything else”.
“I've just implemented Elementary today, to see whether it can bring added value to our pipelines. Especially with regards to observability and data quality. Spoiler Alert; the implementation was a gazillion times easier than Piperider”
“I have been using Elementary for a while in my previous company, and I am starting to set it up in my current company. I am a very big fan!”
“The Elementary reports are insane!”
“I just added the elementary package to one of our projects yesterday and am wondering why we never did this sooner.”
“Loving Elementary, we’re open source users and we currently building out our anomaly testing.”
”being in a very real-world ops-heavy business, we're using Elementary to ensure that we're being alerted if our metrics diverge, usually because some of our assumptions on real-world processes have changed”
“Been using Elementary w/ DBT Core for the past ~8 months and love the product.”
“Recently added Elementary to our DQ
stack. It has been a game changer!! We've been able to respond preventively instead of reactively.”
See Elementary in Action
No fluff. No generic pitch.
Get a walkthrough of the platform and see how we help teams deliver data quality with AI-powered efficiency.
