Streamkap Raises $3.3M to Bring Real-Time Data at a Fraction of the Cost to Businesses

Streamkap, a real-time data streaming provider, announced it has raised $3.3 million in seed and pre-seed funding for its low-cost, low-maintenance streaming ETL platform. Investors include InReach Ventures, TEN13, Haatch, and Begin Capital. The company has also attracted angel investors with positions at notable companies such as Datadog, Anthropic, and ClickHouse.

Co-founded in June 2022 by Paul Dudley and Ricky Thomas, Streamkap is on a mission to make real-time data easy, accessible, and low cost for businesses. Built on top of Apache Kafka and Flink, its streaming solution offers a simple and affordable setup for companies that need to get their data from A to B faster.

"Today, consumers increasingly expect and demand real-time experiences, and businesses need faster data to power these experiences and make critical decisions," said Dudley. "We're making real-time data easy by helping companies get low-latency data into modern data platforms — including Snowflake, BigQuery, and Databricks — with simple to deploy and use  cloud offerings."

Since its launch in 2022, Streamkap has seen significant traction. The company will use the new funding to expand its engineering and go-to-market teams. On the product side, Streamkap is investing in new capabilities for stream processing to enable transformations that further reduce latency.

"We've seen tremendous demand from companies wanting to make their data real-time, whether they're looking to speed up their existing data stack with Snowflake or other real-time technologies," said Thomas. "This funding will allow us to accelerate our product roadmap and bring real-time data to even more businesses."

Founders' background 

Dudley and Thomas first crossed paths at Avora, a London-based business intelligence software company founded by Thomas, who has over 25 years of experience in data. Prior to Avora, Thomas had already established a track record of successful entrepreneurship. In his career, he has launched and sold a pet medication e-commerce business and created one of the first online dating sites in the UK.

Dudley brings experience scaling SaaS and analytics businesses from zero to over $100 million in revenue. His background includes positions at enterprise data analytics companies, including BrightEdge and Netbase. Dudley's academic degree in physics has also provided him with a strong technical foundation.

Identifying the market need

Over time, Dudley and Thomas began to notice the growing pains companies faced with batch data processing. They observed that while more companies were adopting streaming data, they often struggled to build the necessary infrastructure. 

"We saw people spending months getting data pipelines into production, which felt unnecessary. Our goal was to build a tool that would allow people to get up and running in minutes," said Dudley.

After Avora, the pair co-founded Gravity Data, a batch ETL provider that was subsequently acquired. This experience further solidified their view that businesses needed a different solution to move their data faster.

"Having spent years building ETL tools, we believed there had to be a better way," Thomas recalled. "We saw companies trying to speed up batch processing but felt this approach was doomed to fail. Instead, we envisioned a tool that could provide the benefits of streaming data — allowing companies to move data faster with their existing infrastructure — with a similar yet improved user experience to batch processing."

Addressing the demand for real-time data

Real-time data powers the experiences consumers have come to expect and demand. When you order a ride or food delivery, you can see the real-time location of your driver on your phone. It wouldn't be helpful to get an update on your food order an hour after it was supposed to arrive. E-commerce brands are also leveraging real-time data to personalize the shopping experience, moving beyond traditional batch processing that often resulted in stale product suggestions.

For example, Streamkap is working with discount designer goods ecommerce website BrandAlley to power real-time personalization, similar to the real-time personalization that powers TikTok's "For You" page. 

“With Streamkap providing real-time data feeds to our personalisation partner Superlinked, we've been able to provide real-time recommendations to the second from the moment a new product arrives,” said a spokesperson from BrandAlley. “This has led to a massive increase in conversion rate and sales growth at all touchpoints where this has been deployed.”

Making real-time data easy for data teams

For data teams, Streamkap enables faster data without requiring a complete overhaul of their data infrastructure — all at a fraction of the cost of batch processing or higher-maintenance streaming solutions. 

These factors were essential to why customers like SpotOn, which provides point-of-sale solutions for restaurants and retail businesses, chose to partner with Streamkap. 

As Marcin Migda, Data Engineer at SpotOn, explains, "We already had an existing pipeline that was synchronizing the data from the production database to Snowflake, but a delay in reporting could be significant, especially at peak traffic times for our customers. The second challenge was the cost of maintenance and infrastructure. These were the two main drivers of why we were looking for a different solution.”

In their quest for a real-time data streaming solution, SpotOn discovered Streamkap. "Streamkap was 4x faster and had 3x lower total cost of ownership than our previous solution,” Migda shares.

Investor confidence in Streamkap’s next steps

As Streamkap continues on its mission to make real-time data accessible and easy for businesses, the company is poised to play a significant role in shaping the future of data infrastructure. The company's success and potential continue to attract the attention of leading investors in the data space.

"Streamkap is positioned at the intersection of major trends in data—the shift to real-time and the rise of the modern data stack," said Roberto Bonanzinga Partner at InReach Ventures. "The team's deep expertise in data infrastructure and track record scaling data businesses make them well-equipped to become a key player in this space."

About Streamkap

Streamkap is a modern streaming ETL platform that enables businesses to switch from slow batch processing to real-time data streaming without the complexity of managing streaming infrastructure. Built on Apache Kafka and Flink, Streamkap offers a user-friendly and maintenance-free solution for moving data with sub-second latency using change data capture (CDC) connectors for various databases, including PostgreSQL, MySQL, and MongoDB. The platform seamlessly integrates with popular data warehouses and lakes like Snowflake, BigQuery, and Databricks, ensuring reliable and cost-efficient data delivery. With features such as schema drift support, historical snapshots, guaranteed delivery, and automated monitoring and alerting, Streamkap empowers businesses to focus on data outputs rather than the intricacies of the streaming process. As a SOC 2 Type 2 certified and GDPR/CCPA compliant platform, Streamkap prioritizes data security and privacy, making it the go-to choice for enterprises seeking to harness the power of real-time data streaming.

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