Equalum, which provides data integration and ingestion solutions, announced on Thursday that it has raised $14 million in Series C financing. The investors in this round include Planven, United Ventures, Innovation Endeavours, Saints Capital, and the company’s newest partner, SpringTide Ventures. Total fundraising now stands at $39 million.
“We are a platform that continuously and natively supports all use cases under a single unified platform without the need for custom coding,” Equalum CEO Guy Eilon told Calcalist. “The company’s technology provides in one no-code platform the tools provided in three or even four other platforms. Since each part of our platform has many competitors, we work mainly with large organizations in order to simplify their data integration.”
Equalum was founded in 2015 by Nir Livneh, who served as CEO until last year. “I was brought to the company in order to address its go-to-market strategy and in nine months the company has doubled its revenue and number of clients,” said Eilon.
Equalum is promising that the latest release of its flagship software can support just about every data integration use case – from batch ETL and change data capture to real-time data streaming.
The general availability of the Equalum Continuous Data Integration Platform 3.0 this week comes amid rising demand for data integration capabilities, driven by increasing data volumes, growing numbers of internal and external data sources, and the need to utilize and manage data that’s distributed across on-premises, multi-cloud and hybrid environments.
The Equalum announcement also comes as the Sunnyvale, Calif.-based company reports increased momentum in the channel among VAR and MSP partners who offer Equalum’s software as a key component of their customers’ digital transformation initiatives.
“We are the unified platform for mid-market and enterprise data integration solutions. No one is really providing what Equalum has,” said CEO Guy Eilon in an interview with CRN.
Data integration has traditionally included batch ETL (extract, transform and load), data replication and change data capture technologies used to move data from operational systems into data warehouses for business analysis tasks and for copying data for backup and disaster recovery purposes. More recently demand has been increasing for software that can integrate streaming data in real time…