Acryl Data provides a unified approach to data discovery, governance, and observability.

Acryl Data

Founded by the leaders who built data teams at LinkedIn and Airbnb, Acryl Data enables you to take back control of your fragmented data stack. We do this by driving the #1 open source Metadata Platform DataHub, which has a community of 12,000+ data practitioners and is deployed in 1,000+ companies.

Acryl DataHub is a third-generation streaming metadata platform that integrates with 50+ tools (dbt, Kafka, Snowflake, Airflow, Looker, etc) in the data stack to enable data discovery, data lineage, data governance, and data observability.

✅  Connect to your data sources within minutes, and gain end-to-end visibility. 
✅  Power mission-critical workflows with a SOC-2-compliant platform.
✅  Bring data and business teams together with a single source of truth to create governed data products.

Powering data teams at Notion, Zendesk, Riskified, and many more!


Data Community Fund

Insight Partners

Bossanova Investimentos

LinkedIn

Sherpalo Ventures

Guillermo Rauch

🚀Join us for an E-P-I-C July 2024 Town Hall 🚀 to see our NEW Column Propagation and much more, Wed @12pm ET!

#MetaData #DataHub #DataGovernance #DataQuality #AcrylData

To all my #data enthusiasts- you'll love this take on why data quality belongs IN your data catalog. 

Jay Patel walks through the challenges with democratizing data quality, the importance of having quality in your catalog and how you can unify discovery and quality with Acryl Data.

#metadata #dataquality #dataplatform #dataobservability

🎉It’s #ShoutoutFriday! 🎉 Sending a BIG🔥𝗧𝗛𝗔𝗡𝗞 𝗬𝗢𝗨🔥to🥇Patrick Franco Braz and🥈David Schmidt, our Top DataHub Community  Contributors, for going above and beyond to help out our fellow Community members! 

But wait, there’s more! BIG thanks to these awesome folks for 💪 their support in our Slack community!

⭐Mike Burke
⭐Lulienne Schiefelbein

😊You all have played a huge role in keeping the conversation going in the DataHub Community; we wouldn’t be able to do it without you!

🙌Let's keep it up — thank you 🙏!
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#TeamworkMakesTheDreamWork #ThankYou #DataHub #AcrylData

Exciting news: enhancing data integration with DataHub!🎉🚀
 
At KPN, we are always pushing the boundaries of innovation, and today we are excited to share a milestone with you. As part of our goal to lead in Data Spaces, we've integrated DataHub by Acryl Data into our Data Services Hub tech stack. 
 
Our Data Services Hub platform ensures control over data streams with security, scalability, and real-time responsiveness. To enable the Data Products Exchange, we integrated DataHub’s Data Catalog. When we noticed DataHub didn't support scraping Azure Blob metadata, our dedicated team developed this feature in-house. We are proud to announce that we are contributing this new feature to the open-source community! Now, data enthusiasts can seamlessly integrate metadata from S3, Kafka, Postgres, and Azure Blob, supporting broader data ecosystems
 
👉 Why this matters:
- Enhanced integration: Incorporate Azure Blob metadata smoothly into workflows.
- Community contribution: Strengthen the open-source ecosystem with valuable tools.
- Innovation leadership: Solidify KPN’s role in data services and Data Spaces.
 
👉 Why Data Spaces?
We believe in the power of Data Spaces to revolutionize how organizations share and utilize data. Data Spaces enable secure, decentralized and yet interoperable data transactions between different data ecosystem parties, allowing for nearly limitless data combinations and richer insights. By working within this context, we aim to drive innovation, improve data governance, and support our clients in making data-driven decisions.
Join us in celebrating this achievement and explore how our Data Services Hub can transform your data management. Let's innovate together for a smarter, connected future!

🔗Learn more about our Data Services Hub on our Dutch webpage: https://lnkd.in/eNKwaivw
🔗 Discover DataHub [DataHub Project]: https://datahubproject.io
🔗 Explore Data Spaces [International Data Spaces Association]: https://lnkd.in/d7EMDxy
 
#DataInnovation #OpenSource #DataHub #KPN #IoT

Here’s an issue our client MYOB faced that I imagine is relatable - 

The company, like many others, was using dbt as their transformation tool. Eventually, they got to the point where there were over a thousand transformations taking place on the platform, making it hard to change one dataset’s schema without impacting other datasets downstream. 

This caused some problems…

Data consumers began noticing their datasets, reports, or dashboards were broken without warning. And even when they realized what was happening, they couldn’t solve the problem because the interconnected nature of those insights made it challenging to pinpoint exact dependencies and cascading effects.

That’s where Acryl offered support. 

Our UI was able to identify changes upstream, and notify owners via Slack and other means to update their dbt before they made their way down the pipe. We were able to proactively prevent disruptions, ensuring that datasets, reports, and dashboards remained functional and reliable.

We also leaned into the “shift-left philosophy,” creating automatic checks in the CI/CI pipelines to prevent problems from happening in the first place.

By automating the process, we reduced manual effort, allowing MYOB teams to focus on more value-added tasks. Now that they’re less prone to error, the MYOB team has quadrupled its overall usage of Snowflake in just a couple of years.

I started Acryl Data for the same reason many entrepreneurs launch companies - 

1. I was working on something else.
2. A problem came up.
3. Solved it for my organization.
4. Realized the problem affected the entire industry.
5. I Left my current role and decided to make it my life’s mission to provide this solution for everyone.

Before Acryl came to be, I was leading one of the engineering teams at LinkedIn, and we were trying to make data easy to use, trustworthy, and reliable across 10 to 15 data systems, spanning data storage, ETL tools, orchestrators, data lakes and AI platforms. 

We needed a single platform that would connect all these different systems seamlessly and efficiently, and I kept coming back to the same thesis: if we could get all the metadata in one place and drive data management using a central metadata graph, we could accomplish amazing things.

That’s how DataHub came to be.

Five years later, Acryl formed to bring DataHub to all data-driven organizations. Three years in, 30M dollars raised, working with countless Fortune 500 customers, and we’re just getting started!

IO:ACRYLDATA

Acryl Data

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