The System That Learns How Your Data Works
Unifies business context, platform metadata, and operational signals so AI is faster, cheaper, and more accurate.
Some of our incredible customers we've helped streamline data operations
Your AI isn’t wrong. It’s missing context.
Your data is fragmented across your warehouse, dbt, and business tools. AI only sees pieces, so it guesses.
Tools like Cursor and Claude don’t know how your data is defined or used
That’s why they hallucinate and give answers you can’t trust
Sidecar gives them the full context across your data platform, business tools, and real usage
Don't miss the $50k mistake
Sidecar continuously fixes issues in your data platform before they become expensive problems.
Unused tables, stale dashboards, and broken dependencies, identified and handled for you
Inefficient queries and runaway compute, caught and optimized automatically
Continuous tune-ups with clear actions, no dashboards to monitor
Unified DataOps, Built On Context
Everything your data team needs.
No extra tool to manage.
Observability, cost optimization, cataloging, governance, and contracts, handled automatically as Sidecar learns your data
Advanced security - SOC2
Industry-leading encryption ensures that your data is secure and protected from threats.
Built by data people, for data people
We've felt the pain. Sidecar is the tool we wished we had.
We find AND fix data problems.
Sidecar delivers value from day one by automating solutions to real workflow pain.
Integrations
Integrated Where You Work
Community
What happens when AI finally has context?
Don't just take it from us.
25%
60%
70%
Jacob Kring
CTO, Skylight Frame
In this new era, scrappy companies win. That means not hiring expensive employees unless you absolutely need them. With Sidecar, you can maintain a data stack without a data engineer, and that’s exactly what we did!
Kelli Peluso
Data Analytics Manager, Mack Weldon
As a small data team, Sidecar has been crucial to ensure my team is able to focus on serving the business instead of managing our data platform health.
Lucia Baik
Former Director of Analytics Platform, Zocdoc
Engineers are expensive, yet too often stuck on repetitive but essential data operations. Sidecar data changes that by centralizing monitoring and automating solutions, offloading tedious work from engineers. Organizations save costs, strengthen governance and data quality, and free their engineers to focus on building what truly drives the business forward.
Jacob White
Former Head of Data Science & Analytics @ Airtable
Sidecar is the first platform which addresses the most painful problems data teams face. Organizing, tracking, resolving, and surfacing data products is the fundamental question facing data teams in Enterprise SaaS, and Sidecar makes it painless. It’s the essential tool for Data Teams especially those using AI.
Brad Kearney
Former CIO, VP of Data
A major challenge at data teams I've led is bringing simplicity to the complexity of our data stack in order to make educated decisions on what to invest in. Sidecar brings that simplicity.
FAQ
In case you need more context..
If you still have questions, feel free to contact us.
What is Sidecar?
Sidecar is a system that learns how your data actually works and uses that context to run your data operations for you. It connects to your data stack and business tools to understand how data is defined, used, and trusted across your organization. From there, Sidecar automatically handles things like documentation, optimization, and cleanup so your team spends less time maintaining the platform and more time delivering impact.
How secure is my data on Sidecar?
Your data is protected with advanced encryption both in transit and at rest, ensuring maximum security. We also offer customizable security features for added protection.
Are you an observability tool?
Yes, Sidecar includes observability, and much more. It monitors your data platform, writes tests, surfaces issues, and helps you understand what’s happening across your stack. But it doesn’t stop there. Because Sidecar also takes action, like optimizing queries, cleaning up unused assets, and improving models, it builds a much richer understanding of how your data actually works. That makes the context more accurate over time, and the system more effective. You don’t just get visibility. You get a system that improves your data platform as it learns.
What data tools does Sidecar support?
See our integrations page.
How long does it take to onboard?
Onboarding with Sidecar takes up to 20 minutes, depending on how many tools you need to integrate.
What's the ROI of using Sidecar?
Our customers see incredible productivity and cost gains. We've saved our customers tens to hundreds of thousands of dollars, and have been credited with giving weeks of time back to our users. Sidecar's agents allow business users to explore data products themselves, and data teams to spend less time context switching.