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Founded in 2019 by Eric Sammer, Decodable provides a commercial stream processing platform that simplifies real-time data processing and production pipeline deployment for developers and enterprise data engineers. Built primarily on Apache Flink, the commercial SaaS platform connects source systems to destinations like Apache Pinot to support complex applications in fraud detection, logistics, and containerized microservices. The company operates a serverless infrastructure model that automates task sizing and provides enterprise support for large consumer applications without requiring complex backend management. Decodable has raised over 25 million dollars in venture funding, including a seed round and a 20 million dollar Series A round led by Venrock and Bain Capital Ventures. The capitalization table also includes strategic investments from prominent industry executives such as DataDog chief executive officer Olivier Pomel and Cockroach Labs chief executive officer Spencer Kimball.
Decodable has raised $26.0M across 2 funding rounds.
Decodable has raised $26.0M in total across 2 funding rounds.
Decodable has raised $26.0M across 2 funding rounds. Most recently, it raised $20.0M Series A in February 2022.
Decodable is a technology company that builds a fully-managed, serverless platform for real-time data ingestion, integration, processing, and analytics, leveraging open-source technologies like Apache Flink and Debezium.[1][2][3] It serves application developers, data engineers, and data scientists in sectors requiring real-time capabilities, such as AI applications, fraud detection, security, logistics, commerce, and event-driven services, solving the complexity of building and managing production-grade real-time data pipelines.[1][2][3] By enabling pipelines in minutes via SQL, Java, or Python with built-in connectors and CDC (change data capture), Decodable simplifies ETL/ELT, reverse ETL, and stream processing, reducing infrastructure overhead and ensuring compliance (HIPAA, GDPR, SOC 2).[3] Customers like Drata process terabytes daily for AI prototypes, highlighting strong growth momentum in real-time data demands.[3]
Decodable was founded in 2021 by Eric Sammer, who serves as CEO, emerging from the need to simplify the overly complex tools for modern real-time applications in areas like security, fraud, logistics, and commerce.[1][2] Sammer's background addresses the gap where infrastructure complicates development, aiming for a "serverless data engineering workflow" that disappears, allowing quick pipeline deployment without deep expertise.[2] Early traction includes backing from Venrock and Bain Capital, plus talent from companies like Astronomer and Cloudflare, and awards like "Data Integration Platform of the Year" in 2023, with features targeting enterprise adoption via Snowflake and dbt integrations.[2][4]
Decodable rides the surge in real-time data for agentic AI, event-driven architectures, and operational analytics, where legacy batch processing fails modern demands like fraud detection and personalized commerce.[1][2][3] Timing aligns with exploding data volumes and AI needs for fresh streams, as companies shift from complex Kafka/Flink setups to simplified platforms amid talent shortages.[2][3] Market forces like cloud-native adoption and compliance pressures favor Decodable's serverless model, which cuts costs (e.g., Snowflake integrations) and accelerates AI deployment.[3][4] It influences the ecosystem by democratizing streaming data engineering, powering startups and enterprises like Drata, and challenging incumbents with open-core accessibility.[3]
Decodable is poised to expand as real-time data becomes table stakes for AI agents and edge computing, with integrations like Snowflake/dbt driving enterprise wins and potential terabyte-scale growth.[3][4] Trends like multimodal AI and zero-ETL architectures will amplify demand for its simplified pipelines, evolving its role from niche streamer to core data platform. As adoption scales, expect deeper ecosystem partnerships and global compliance expansions, solidifying its fight against data complexity—echoing its mission to make real-time engineering as effortless as serverless compute.[2]
Decodable has raised $26.0M in total across 2 funding rounds.
Decodable's investors include Venrock, Stefan Cohen, 8090 Industries, Alt Capital, Alumni Ventures, Amplify Partners, Andreessen Horowitz, Archetype, Bain Capital Crypto, Cadenza Capital Management, Cantos Ventures, Craft Ventures.
