🔍 Trying to choose the right Flink solution? Amazon MSF isn’t it. Decodable offers a more complete, streamlined solution for real-time data processing. This guide breaks down 8 critical differences that could change your mind. 💡 Learn more: https://dcdbl.co/4dRrYra
Decodable
Software Development
San Francisco, CA 4,576 followers
Decodable is a serverless real-time data platform. No clusters to set up. No code to write. No PhD required.
About us
Decodable’s mission is to make streaming data engineering easy. Decodable delivers the first self-service real-time data platform — that anyone can run. As a serverless platform for real-time data ingestion, integration, analysis, and event-driven service development, Decodable eliminates the need for a large data team, clusters to set up, or code to write. Engineers and developers can now easily build real-time applications and services with SQL using clear and simple semantics, error handling, and operational tools. Decodable gives the right people access to the right data — fast. For more information, visit www.decodable.co
- Website
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https://decodable.co/
External link for Decodable
- Industry
- Software Development
- Company size
- 11-50 employees
- Headquarters
- San Francisco, CA
- Type
- Privately Held
- Founded
- 2021
Locations
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Primary
San Francisco, CA 94107, US
Employees at Decodable
Updates
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Robin Moffatt is sharing all the gory details of getting Delta Lake and Flink SQL to play nice. He breaks it down step-by-step and even shares how to troubleshoot errors in his latest article. Follow along here 👉 https://dcdbl.co/4cCqAHQ
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📢 Last chance to register for tomorrow's live demo! Watch Hans-Peter Grahsl and Sharon Xie set up and manage real-time data ingestion with PyFlink, and enhance your RAG pipelines for better AI outcomes. Click below to sign up 👇
Join us for a live demo where we'll guide you through a real-time data ingestion use case for a vector database and showcase how to do it with Decodable's latest managed PyFlink offering. #pyflink #dataingestion #realtimedata
Powering Real-time AI: Vector Database Ingestion with PyFlink on Decodable
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📊 Real-time data is the backbone of effective AI. Learn how to ensure your vector databases are always up-to-date with Hans-Peter Grahsl and Sharon Xie Join our live demo to see how to set up and manage real-time data ingestion with PyFlink, and enhance your RAG pipelines for better AI outcomes. Sign up now 👉 https://dcdbl.co/4fJeIGO
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🧰 Building RAG architectures? Ensure your AI models are always working with the freshest data. Join our live demo and see Decodable’s managed PyFlink offering in action —streaming data in real-time into vector databases for more accurate AI predictions. Save your spot ▶️ https://dcdbl.co/4fJeIGO
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Elevate your data integration strategy with our latest guide. Learn about the essential role of Apache Flink connectors in your data platform and how Decodable can simplify the process. Download now for expert insights 💥 https://dcdbl.co/3LWFNZu
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What's the secret to enabling SDLC best practices AND ad-hoc resource management AND migration between environments? ✨Declarative resource management!✨ Learn all about this powerful new feature 👉 https://dcdbl.co/4cwiWPk
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🔍 Outdated data holding back your AI? Discover how to keep your RAG pipelines optimized with real-time data at our upcoming live demo. Join Sharon Xie and Hans-Peter Grahsl to see how Decodable's managed PyFlink offering seamlessly ingests external data into vector databases for smarter AI. Register here 👉 https://dcdbl.co/4fJeIGO
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🤔 Wondering how to troubleshoot and configure Flink SQL in order to successfully access S3 and MinIO? Check out this methodical deep dive by Robin Moffatt 👉 https://dcdbl.co/4dHqShv
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We're excited to announce a new wave 🌊 of features and improvements designed to elevate your real-time data movement. Decodable users now have access to: 💥 Fully Managed PyFlink 💥 Declarative Execution Plus a bunch of revamped and refined features. Read more 👉 https://dcdbl.co/3yuGyG7