Product News
Introducing The New CloudQuery Platform
A quick history of CloudQuery #
When we started CloudQuery in 2021, we started with a simple idea: Democratize cloud infrastructure config data. Logs were mostly solved problems with tools like Datadog, Elastic, Splunk, and Azure Sentinel, but config data was a different beast. For config data like cloud assets, users, and other cloud infrastructure configurations you need a different data model where data can be updated (versus appended) to model distributed state, and the user has the ability to create joins and queries between data to model relations.
Config data was either locked behind thousands of obscured APIs (AWS looking at you), and you had to write custom scripts to pull data, or it was locked in an opinionated data model behind point solutions in the massive cybersecurity ecosystem. This meant that whenever a security, governance, or platform team had a slightly custom use case or question like:
- Which AWS SSL certificates will expire in the next 10 days, which team owns it, and who is the team lead of that team by joining data from cloud assets and Workday HR data?
- List resources by the highest number of vulnerabilities and cost spent by joining data from cloud assets, CNAPP and FinOps solutions.
- How many AWS serverless functions with EOL (end-of-life) Python runtime per team per account?
Traditional tools fail at these tasks because data is siloed across different systems, making it nearly impossible to get a unified view. And even if data is not siloed, any more complex query that requires data joining or transformation falls flat of the limited query language.
To enable that, we released an open-source ELT framework powered by Apache Arrow to enable us and customers to write connectors in any language quickly and extract config data from 70+ official CloudQuery sources to any database or data warehouse.
This year we grew our revenue 3.5x and onboarded lots of new Fortune 500 companies to solve their cloud security, governance, and operational use cases at scale. But as we found out, this was just the beginning. Talking to more and more of our users, we heard similar things: They liked the power and flexibility of SQL for analyzing their cloud data and the open data platform, but the bottom line is, cloud security and governance engineers are not data engineers, so they wanted a more managed solution while still keeping the ability to create customization when it’s needed in their Cloud Governance workflows.
What are we releasing today? #
For the last 8 months, we have been working tirelessly to bring the next generation of CloudQuery to the hands of users! We are releasing a full Developer-first Cloud Governance Platform designed to give Cloud Security, Governance, and Platform teams the flexibility and the power they need to query, monitor, and control cloud config data at scale!
What is Cloud Governance? #
Cloud governance is a bit of an overloaded term, but it is a growing practice, and even new teams are forming with that name in addition to security teams. Cloud Governance is about making sure your cloud security, cost, and developer productivity are in balance (Chris Farris described it perfectly here).
So how one achieves that, of course it’s not only about tools but also about strategy, culture, communication, and so on, but tools are part of the game. A good cloud governance platform will give centralized, unified visibility and control to teams to ensure the balance is kept in check. The base for unified cloud visibility and control is a powerful security-focused data platform. Still, it can’t stop here as security engineers are not data engineers, so it has to provide a lot of data transformation and normalization out of the box to make sure time to value is minimized while still giving teams the ability to customize when needed.
So, what’s inside? #
Data Pipelines (Zero-ETL): Fresh, reliable, and scalable #
Pulling data from cloud providers is operationally painful. Cloud APIs have strict rate limits, and in-house scripts break, and keeping up with new cloud services released by the three big cloud providers is a nightmare.
CloudQuery eliminates this complexity with a fully managed data pipeline that syncs cloud data from 70+ official integrations while allowing full control over data freshness. Syncs can run hourly, daily, or on a custom schedule, and CloudQuery handles API rate limiting, retries, error monitoring, and scaling in the background. The platform enables teams to enrich cloud data with internal sources using CloudQuery’s SDK. This ensures that you can focus on unlocking business value from data without the hassle of running data pipelines and writing ELT (Extract-Load-Transform) code.
Unified Asset Inventory: A single, normalized source of truth #
Cloud assets are scattered across providers, each using different APIs and formats. AWS, GCP, and Azure don’t provide a unified way to track infrastructure, making it difficult to maintain visibility, enforce security policies, or control cloud spend. Teams often rely on point solutions that create additional data silos instead of solving the fragmentation problem.
CloudQuery brings all cloud assets into a single, queryable inventory, making it easy to search, filter, and organize resources regardless of provider. Teams can query assets using metadata, tags, and configurations and create custom views based on teams, projects, cost centers, or any other dimension.
SQL Console: Query cloud infrastructure like a database #
Creating custom reports or compliance checks is nearly impossible with rigid tools and locked-down data models that lack flexibility.
CloudQuery solves this by offering a full SQL query engine, allowing teams to write custom queries, join cloud data with other sources, and build governance workflows on their own terms. Whether identifying security misconfigurations, cost-saving opportunities, or compliance issues, CloudQuery provides the flexibility to run ad-hoc queries or automate insights with pre-built queries.
The future of Cloud Governance is here #
CloudQuery is a developer-first cloud governance platform that gives security, compliance, and FinOps teams full visibility into cloud assets. Query, automate, and optimize security, compliance, and costs at scale - all with SQL-powered flexibility.
The best way to understand how CloudQuery transforms cloud visibility is to see it live. Our team can walk you through a tailored demo based on your cloud environment and use cases. Let’s talk about how CloudQuery can fit into your stack. 👉 Schedule a demo today
What’s next? #
Over the next few days, we’ll dive deep into each part of the new CloudQuery Platform:
📅 Day 1: Cloud Asset Inventory & Search – Explore how to get full multi-cloud visibility.
📅 Day 2: SQL Console – Query and analyze all your cloud assets.
📅 Day 3: Data Pipelines & Integrations – Automate cloud data syncing and workflows.
📅 Day 4: Developer-First Governance – Full control with APIs, automation, and no vendor lock-in.
🚀 Want to get started with CloudQuery Platform? Reach out to our team.
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