The pandemic has prompted countless companies to migrate to the cloud. In the year By 2025, driven in part by the demand for digital services, 85% of enterprises will be cloud-first, according to Gartner. But the transition is not always easy. In a recent MuleSoft survey, 84% of organizations said data and application integration challenges are hindering their adoption of digital transformation and, by extension, cloud platforms.
Motivated to meet the need, software engineer Nir Livneh founded Ekulum, which provides software that integrates with existing infrastructure to process and transform data, including streaming. Equalum can collect, transform and synchronize data, moving data in real time or in batches from devices and applications to AI systems, data lakes and data warehouses.
Prior to founding Equalum, Livneh was a full-stack developer and led the product management team at Quest Software (which was acquired by Dell in 2012). He also founded SET Systems, an IT consulting firm specializing in data analytics.
“Over the years, Livneh has seen many organizations struggle to manage their data integration needs. The work was done manually with different tools, which added more complexity to their environment, and in most cases, the transmitted data was based on historical data, not real-time data, “said Guy Elon, CEO of Equalum. TechCrunch in an email interview. Elon previously cyber He was the vice president of sales for the security company Sinnett.[Livneh founded Equalum] To bring simplicity to the data integration market and… to enable organizations to make decisions based on real-time data rather than historical and inaccurate data.
Equalum manages data pipelines, using open source packages, including Apache Spark and Kafka, to stream and orchestrate data processes. The platform allows the creation of data pipeline “logic” through a drag-and-drop interface that includes triggers that change data at the source, perform calculations on data, match and filter data with third-party sources, view, and enrich data.
In this way, Equalum is not comparable to startups like Striim and StreamSets, which offer tools for building data pipelines across cloud and hybrid cloud platforms (ie, a mix of on-premises and public cloud infrastructure). Amazon Web Services, Google Cloud, and Azure also sell a version of Orchestrator technology for some pipeline, though it’s incredibly cloud-focused.
Breaking into the industry has been tough — Elon declined to disclose Equalum’s revenue metrics or the size of the startup’s customer base, and Equalum doesn’t plan to hire this year. But he emphasized the profitability of the opportunity. Citing data from Fortune Business Insights, Elon expects the data integration solutions market to reach $29.16 billion in 2029 — up from $11.94 billion in 2022.
In any case, investors have confidence in Equalum’s growth prospects. The company today closed a $14 million Series C round with a contribution from Springtide Ventures — notably less than Equalum’s Series B, which totaled $18 million. Elon said the reason was because the board “didn’t want to obscure themselves if it wasn’t necessary.”
“There is a lot of noise in the industry, and we see that the biggest challenge customers are facing right now is buying different integration products for many different use cases. This is creating a very complicated environment,” Elon said. “Additionally, many tools require experienced data engineers and a lot of time for companies to get the right value from the tool. These complex challenges, along with a global lack of resources, are making it very difficult for organizations to achieve the results they want. Equilum’s unified platform, along with our no-code UI, addresses these challenges.” Key challenges will be addressed.
As of the latest capitalization, Ekulum’s total raised is $39 million.