Prefect’s cover photo
Prefect

Prefect

Data Infrastructure and Analytics

Washington, District of Columbia 29,861 followers

ETL, AI/ML Ops, Data Orchestration, MCP. Prefect runs it all.

About us

Automation for the context era

Website
http://www.prefect.io
Industry
Data Infrastructure and Analytics
Company size
51-200 employees
Headquarters
Washington, District of Columbia
Type
Privately Held
Founded
2018

Products

Locations

  • Primary

    2112 Pennsylvania Avenue NW

    Washington, District of Columbia 20037, US

    Get directions

Employees at Prefect

Updates

  • We ❤️ our customers

    Some vendors send invoices... Some send support... Prefect sent both… and then launch-week swag too 🔥 - An apron 👨🍳 - A hat with “h@” on it 🧢 - Stickers ✨ Which can only mean one thing: Prefect is cooking 🍳 And honestly, this launch week delivered! Day 1: Infrastructure Decorators → bind compute directly to flows with decorators. Different infra for different pipeline steps without orchestration gymnastics. Huge for teams running mixed workloads. Day 2: Prefect dbt Orchestrator → smarter dbt execution with per-model retries, parallel runs, and skipping unchanged work. Less waste, more speed Day 3: Built for Scale → infrastructure debugging, managed automations, assets explorer, result storage, rate limits, faster CLI… the kind of features platform teams quietly dream about ! But beyond the releases, what stands out is how supportive the team has been throughout 🙌 Looks like I got all the references: h@ trick works at the drop of an @ we know you wear many @s h@s off, here's where it's @ Congrats to the whole team at Prefect 🚀🎉 Loved the amazing swag you folks sent over, Aimee! Check out what the team at Prefect Launch Week has been cooking in the comment section👨🍳

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  • Prefect reposted this

    #NewAlliance | ❄️ Welcome, Prefect! ❄️ ❄️ Prefect’s FastMCP technology is behind a whopping 70% share of MCP servers worldwide ❄️ Prefect is a top player in Python orchestration for the enterprise This is a huge deal for Snowflake customers and the broader data + AI ecosystem! And as usual, this is no fluff. The value is already real: ✅ Prefect’s Python orchestration integration with Snowflake is live ✅ FastMCP can already be used with Snowflake MCP servers ✅ Prefect is available today on Snowflake Marketplace ✅ Customers can purchase it using existing Snowflake commits ✅ Real customer ROI is already happening, with HNI Corporation taking full advantage of it alongside many others Jeremiah Lowin, CEO of Prefect, and I sat down together earlier this week and there is one thing very clear: Prefect is boiling with innovation, and their level of customer focus and understanding is stellar. Congratulations to Ines who went above and beyond to make this happen. As always, it takes a village. Huge kudos to Akhil, Rodrigo, Amy, Rithesh, Sam, Vikram, Prasanna, Baris, Daria, Lindsey, Kaitlyn, Trent, Shane, Aimee, Radhika, and James, all the teams across both organizations that helped turn this into reality. Very happy about what's here already and excited for what’s ahead with Prefect and Snowflake! #Snowflake #Prefect #NewAlliance #DataEngineering #Python #MCP #AI #Orchestration #SnowflakeMarketplace #PartnerEcosystem Snowflake Partner Network

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  • View organization page for Prefect

    29,861 followers

    We’re excited to share that Prefect is officially live on the Snowflake Marketplace! ❄️ Teams like HNI Corporation are using Prefect and Snowflake together to orchestrate critical data pipelines for analytics and AI. With Prefect and Snowflake, teams can: - Orchestrate data, ML, APIs, and external services in a single workflow - Connect AI agents to Snowflake and the rest of the business with FastMCP and Horizon MCP Gateway - Adopt Prefect directly through Snowflake Marketplace using existing Snowflake commitments Check out the Prefect listing on the Snowflake Marketplace to get started 👇 ❄️

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  • NOW That's What I Call Orchestration! 💿 Introducing the Prefect Launch Collection. 11 new Prefect features, all available now. Some of the hits include: - Managed Automations (no more zombie runs) - Config Plugins (pip-install your environment) - Workspace Personalization (only see what's yours) - Infrastructure Debugging (see OOMs in the UI) - Assets Explorer (look up an asset and its history) - ...and 6 more BUT WAIT, THERE'S MORE! Claim a free hat while supplies last. Limited edition run, going fast. Visit the launch site below to claim yours. ☟ 𝘚𝘦𝘭𝘦𝘤𝘵 𝘧𝘦𝘢𝘵𝘶𝘳𝘦𝘴 𝘢𝘷𝘢𝘪𝘭𝘢𝘣𝘭𝘦 𝘪𝘯 𝘰𝘱𝘦𝘯 𝘴𝘰𝘶𝘳𝘤𝘦. 𝘔𝘢𝘺 𝘤𝘢𝘶𝘴𝘦 𝘴𝘶𝘥𝘥𝘦𝘯 𝘶𝘳𝘨𝘦𝘴 𝘵𝘰 𝘥𝘦𝘭𝘦𝘵𝘦 𝘺𝘰𝘶𝘳 𝘰𝘭𝘥 𝘰𝘳𝘤𝘩𝘦𝘴𝘵𝘳𝘢𝘵𝘰𝘳. 𝘚𝘰𝘮𝘦 𝘧𝘦𝘢𝘵𝘶𝘳𝘦𝘴 𝘪𝘯 𝘰𝘱𝘦𝘯 𝘣𝘦𝘵𝘢. 𝘓𝘢𝘴𝘵 𝘥𝘢𝘺 𝘰𝘧 𝘭𝘢𝘶𝘯𝘤𝘩 𝘸𝘦𝘦𝘬. Only @ Prefect.

  • Prefect reposted this

    I just finished teaching a hands-on PyCon 2026 tutorial on building MCP servers in Python, and it was a lot of fun seeing attendees go from "what is MCP?" to running their own working servers. The exercises covered: 1. Connecting a coding agent (GitHub Copilot, Claude Code) to public and authenticated MCP servers 2. Building a Python agent (Pydantic AI, LangChain, Agent Framework) that answers questions using MCP servers 3. Creating a product store MCP server using FastMCP with tools, resources, and prompts 4. Making the store more collaborative: interactive UIs with MCP Apps and purchase confirmation via elicitation requests 5. Adding an authentication layer using the open-source Keycloak identity server, which now supports Dynamic Client Registration (DCR) Slides: https://lnkd.in/gY77_NYV Code: https://lnkd.in/gfk4rH3X

    • MCP server collage and agenda and people
  • We are taking the wheel... of your dbt DAG. In the demo below, Alexander S. shows how the new Prefect dbt Orchestrator reads your project and runs it model-by-model. Watch as he: - visualizes the plan to see exactly how nodes group into parallel waves - retries specific failures so one broken schema doesn't kill the whole run - uses persistent caching to skip materializations and save on compute Link to the demo and other resources in the comments ☟

  • Prefect reposted this

    Friends don't let friends re-run unchanged SQL. It’s Day 2 of launch week and today we're launching the Prefect dbt Orchestrator. Every model, seed, test, and snapshot runs as a Prefect task. Caching, per-node retries, and the same alerting your other Prefect work uses. ➊ Stop running the same SQL twice Each node’s SQL, config, macros, and upstream dependencies are hashed. If nothing changed, Prefect skips the node. ➋ The DAG keeps moving when a model fails A staging model fails. Prefect retries that node without restarting the entire build. Other branches keep running. ➌ Parallel execution without the overhead Prefect executes independent nodes concurrently instead of treating dbt build as one giant batch job. ➍ dbt inherits Prefect’s orchestration primitives The same caching, retries, alerting, and visibility you use for Prefect flows now apply to dbt workloads. Open beta today. Links to resources in the comments ☟

  • Prefect reposted this

    Friends don't let friends re-run unchanged SQL. It’s Day 2 of launch week and today we're launching the Prefect dbt Orchestrator. Every model, seed, test, and snapshot runs as a Prefect task. Caching, per-node retries, and the same alerting your other Prefect work uses. ➊ Stop running the same SQL twice Each node’s SQL, config, macros, and upstream dependencies are hashed. If nothing changed, Prefect skips the node. ➋ The DAG keeps moving when a model fails A staging model fails. Prefect retries that node without restarting the entire build. Other branches keep running. ➌ Parallel execution without the overhead Prefect executes independent nodes concurrently instead of treating dbt build as one giant batch job. ➍ dbt inherits Prefect’s orchestration primitives The same caching, retries, alerting, and visibility you use for Prefect flows now apply to dbt workloads. Open beta today. Links to resources in the comments ☟

  • Friends don't let friends re-run unchanged SQL. It’s Day 2 of launch week and today we're launching the Prefect dbt Orchestrator. Every model, seed, test, and snapshot runs as a Prefect task. Caching, per-node retries, and the same alerting your other Prefect work uses. ➊ Stop running the same SQL twice Each node’s SQL, config, macros, and upstream dependencies are hashed. If nothing changed, Prefect skips the node. ➋ The DAG keeps moving when a model fails A staging model fails. Prefect retries that node without restarting the entire build. Other branches keep running. ➌ Parallel execution without the overhead Prefect executes independent nodes concurrently instead of treating dbt build as one giant batch job. ➍ dbt inherits Prefect’s orchestration primitives The same caching, retries, alerting, and visibility you use for Prefect flows now apply to dbt workloads. Open beta today. Links to resources in the comments ☟

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Funding

Prefect 4 total rounds

Last Round

Convertible note

US$ 14.0M

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