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Datafold

Datafold

Data Infrastructure and Analytics

New York, NY 6,462 followers

AI agents for data engineering automation

About us

Datafold is an automation platform for data engineers that combines AI agents with bulletproof validation technology to eliminate manual work across the data engineering lifecycle from data platform migrations to data reconciliation and CI/CD testing.

Website
https://datafold.com
Industry
Data Infrastructure and Analytics
Company size
11-50 employees
Headquarters
New York, NY
Type
Privately Held
Founded
2020
Specialties
data, data quality, data engineering, data testing, dbt, data observability, databases, SQL, data diff, data monitoring, data lineage, and migrations

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Locations

Employees at Datafold

Updates

  • Datafold reposted this

    AI isn’t replacing data engineers, it’s elevating them 📈. In the latest episode of The Data T, Gleb Mezhanskiy, CEO and Co-founder of Datafold, joins us to talk about how #AI is reshaping the future of data engineering. He shares how AI won’t eliminate the need for data practitioners it’ll free them to think more strategically: 🔹 Designing smarter data stacks 🔹 Building models aligned with real business needs 🔹 Connecting tools that play well together Catch the full episode for a fresh take on how AI will elevate not replace the role of data engineers and architects: https://lnkd.in/gfjAet6E

  • As more data teams move off Redshift to control costs, simplify performance, and support AI workloads, Databricks’ new guide lays out a clear, phased approach to executing a migration to lakehouse architecture: • Inventory and prioritize workloads to reduce migration risk • Translate schemas thoughtfully to avoid long-term performance issues • Leverage tools like Datafold’s Migration Agent to handle end-to-end migration—from scoping to validation If your team is planning—or even just considering—a Redshift migration, this field guide is a great place to start. https://lnkd.in/gdak_duZ

  • View organization page for Datafold

    6,462 followers

    Datafold CEO Gleb Mezhanskiy will be joining Coalesce.io CEO Armon Petrossian this Thursday, October 23rd, for a live conversation about one of the hardest problems in data: migrations. For years, moving off legacy ETL tools has meant tradeoffs—painful timelines, massive budgets, and months of manual work. But AI is finally changing that. Gleb’s been in the trenches—first leading migrations at Lyft, and now building the tools that make them faster and less daunting for modern teams. If your team is planning a migration—or already in the middle of one—don’t miss this. https://lnkd.in/gCzFN6MZ

    View organization page for Coalesce.io

    31,093 followers

    🎒 Migrations are often the most painful part of data modernization. They're slow, expensive, and risky. But AI is already flipping that script. Join us for a live conversation with Gleb Mezhanskiy, Founder & CEO of Datafold, as we dig into how AI automation is transforming data migrations—making it practical (and even efficient) to move away from legacy ETL tools. Gleb will share hard-earned lessons from leading migrations at Lyft and Datafold, and what it takes to make your next migration a success.

  • There’s a new way to move dbt Labs projects to Databricks—one that turns months-long projects into weeks-long engagements. dbt's portability promised platform flexibility, but migrations still required massive SI costs or endless internal engineering hours. We've eliminated that barrier. Connect your systems, hit start, and get production-ready validated code in weeks. And since Datafold is a Databricks Delivery Partner, customers can engage through existing agreements—no separate contracts or security reviews. How’s that for fast? https://lnkd.in/gdczx-36

  • Only one week until Coalesce 2025! Abigail Green and Gleb Mezhanskiy will be on stage sharing how CHG Healthcare avoided an 18-month migration nightmare. In just 3 months, CHG was able to translate and validate 2,000+ MySQL queries into dbt Cloud + Snowflake. The key? Datafold’s AI Migration Agent: translating complex legacy SQL, refactoring code to dbt standards, and validating every row with Data Diffs. 15 months saved. $450K in cost savings. If you’re at Coalesce this year, don’t miss this session on how AI is changing the modernization playbook.

    • The fastest path to modernization? 
AI-powered dbt migrations.
  • Just two weeks until Coalesce 2025, and we couldn’t be more excited. Our team will be on the ground in Vegas to connect with the dbt Labs community and talk about what it really takes to modernize data stacks with dbt migrations. If you’re heading to Coalesce, come find our booth. We’d love to trade notes on how teams are tackling modernization.

    • Modernizing legacy pipelines with dbt —see you at Coalesce 2025.
  • We just shipped the most powerful tool we’ve ever built for data platform migrations. Datafold Migration Agent 2.0 is a full rebuild of our flagship migration engine—with a graph-based core, smarter refactoring, and automation that spans the entire migration lifecycle. Where others scale by adding consultants, we scale with software. DMA 2.0 tackles the complexity that stalls most migrations before they start, and gets smarter with every one. A few things that make it incredibly powerful: • Graph-powered dependency mapping, even across tools and layers • Translation built for scale (yes, 300K-character stored procedures) • Automatic refactoring into modern frameworks like dbt • Best in-class synthetic testing data for secure, large-scale validation • End-to-end parity testing to guarantee outcomes you can trust And because we believe migrations shouldn’t be a distraction for your team, DMA is fully managed by Datafold to deliver you outcomes – not headaches.  Learn how DMA can accelerate your modernization by up to 6x: https://lnkd.in/gXN2V8Hv

  • Migrations are central to modernization, but no one knows what’s “normal,” especially as AI begins to change the playbook and introduce new ways of tackling code translation and validation. That’s why we’re building the first benchmark of data platform migration costs, timelines, and impact. Share your story and get early access to the results. The first 100 respondents will receive a $25 gift card as a thank you. https://lnkd.in/gJBErDPb

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Funding

Datafold 5 total rounds

Last Round

Series unknown

US$ 4.0M

See more info on crunchbase