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Streamkap offers a developer platform for real-time data streaming, capturing database events with sub-50ms latency. It moves data to AI agents, applications, and warehouses through over 60 connectors. The platform provides managed Kafka and Flink, leveraging open-source streaming technologies. It enables robust change data capture, abstracting operational complexity by handling infrastructure.
Paul Dudley and Ricky Thomas co-founded Streamkap in June 2022. They observed widespread business challenges: batch processing, high latency, and complex schema updates. Their insight was to simplify real-time data access, making it easier and cost-effective. They aimed to build a platform removing significant operational burden from high-velocity data organizations.
The platform serves organizations needing immediate data insights for advanced applications, AI agents, and analytical tools. Streamkap empowers businesses to integrate diverse data streams and enhance customer data platforms. The company's vision is to establish real-time data as a universally consumable resource, fostering innovation and operational efficiency by eliminating data access complexities.
Streamkap has raised $3.6M across 2 funding rounds.
Streamkap has raised $3.6M in total across 2 funding rounds.
Streamkap has raised $3.6M across 2 funding rounds. Most recently, it raised $3.0M Seed in July 2024.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Jul 1, 2024 | $3M Seed | InReach Ventures | Change Ventures, Creandum, Haatch, Notion Capital, Andreas Mihalovits | Announced |
| Nov 1, 2022 | $630K Seed | — | Change Ventures, Haatch, Notion Capital, Andreas Mihalovits | Announced |
Streamkap is a San Francisco-based technology company founded in 2022 that builds a modern real-time data streaming platform. It enables data teams to sync data between systems and companies with sub-second latency, replacing slow batch ETL processes with streaming solutions powered by Apache Kafka and Flink[1][2][3][5]. The platform serves businesses needing fast, cost-effective data movement, such as SpotOn for point-of-sale data syncing to Snowflake, solving problems like reporting delays during peak traffic and high maintenance costs—delivering 4x faster performance and 3x lower total cost of ownership[1][2]. With $3.3M raised in seed and pre-seed funding, Streamkap shows strong early traction through customers praising its zero-ops setup, automated schema handling, and integrations with warehouses like Snowflake, BigQuery, and Databricks[2][3][5].
Streamkap was co-founded in June 2022 by Paul Dudley and Ricky Thomas, experienced operators in data infrastructure, with the company headquartered at 548 Market St in San Francisco[1][2][3]. The idea emerged from recognizing the gap between complex, expensive streaming setups (like self-managed Kafka) and simple batch ETL, aiming to make real-time data "easy, accessible, and low-cost" without infrastructure overhauls[1][2][4]. Early traction came quickly post-launch, including adoption by SpotOn, which switched from an existing pipeline for faster, cheaper syncing, and securing $3.3M in funding led by InReach Ventures (with TEN13, Haatch Ventures, and Begin Capital) to expand operations[2][3][4].
Streamkap stands out in the crowded data streaming market through these key strengths:
Streamkap rides the explosive trend toward real-time data streaming, fueled by AI demands for instant insights, event-driven architectures, and low-latency apps like real-time recommendations and ML[4][5]. Timing is ideal amid batch ETL limitations—businesses face rising data volumes but lack resources for complex pipelines, while advances in open-source like Kafka/Flink lower barriers for SaaS innovators[1][4]. Market forces favoring Streamkap include cost pressures (vs. expensive incumbents like Denodo or Precisely) and the shift to AI-powered decisions, where sub-second data enables virality response and operational agility[1][2][4]. It influences the ecosystem by democratizing streaming for mid-market firms, reducing reliance on massive data teams and accelerating adoption in sectors like retail (e.g., SpotOn) and beyond[2][4].
Streamkap is poised for rapid scaling with its funding fueling team growth and integrations, targeting expansion into more CDC sources and advanced AI use cases like real-time model training[2][3][4]. Trends like proliferating edge AI and multimodal data will amplify demand for its low-cost, hands-off streaming, potentially capturing share from batch giants as enterprises prioritize speed over legacy setups[4][5]. Its influence could evolve from niche disruptor to category leader, empowering smaller players in the data economy—echoing its founding mission to make real-time data as simple as batch, but exponentially more powerful[1][2].
Streamkap has raised $3.6M in total across 2 funding rounds.
Streamkap's investors include InReach Ventures, Change Ventures, Creandum, Haatch, Notion Capital, Andreas Mihalovits.
