The fastest way to deploy agents for any data workflow - backed by a context layer that's always accurate. Go from zero to a working agent in minutes.
Trusted by:
Every agent needs context. We built the garage for it.
Context Garage turns your scattered metadata, docs, and tribal knowledge into one versioned context layer. Every Sidecar agent runs on it, and you can serve it to any tool you use.
Most agents guess because they only see fragments of your stack
Sidecar builds a structured, version controlled model of your warehouse, dbt, lineage, and real usage
Ship it as a context repo your agents can trust, always current, never a stale export
Bring your own agent. Give it Sidecar's context.
The Context Garage isn't locked to Sidecar's agents. Connect any model or agent framework you already use, and it gets the same structured, always current understanding of your data platform, no separate integration to maintain.
Works with any model or agent framework, not just Sidecar's
Same context, one API, no re-indexing or custom pipelines to build
Fewer tool calls and tokens spent guessing, more reliable output on data-specific tasks
Five agents. One context layer.
Every agent your data team needs. Deployed in one place.
Reliability, Optimization, Custodian, Builder, and Concierge each handle a different part of running your stack, all backed by the same context layer, all reviewable in Agent Console.
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'd 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 agents actually work for your data team?
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.