Data platform definity raises $4.5 million in Seed funding
Data platform definity raises $4.5 million in Seed funding
The Israeli startup’s data application native solution provides in-motion and contextualized insights into data pipeline execution, data quality, and data infrastructure performance.
Israeli startup definity has raised $4.5 million in Seed funding led by StageOne Ventures, with participation from Hyde Park Venture Partners and additional strategic angel investors. The company also announced the availability of its data application observability and remediation platform for Spark data analytics environments.
Inefficient data operation and poor data quality can cost a company almost $13 million per year, according to Gartner, which highlights the challenge for data engineering teams to maintain the reliability of data pipelines, optimize their performance, and prevent data downtown. These problems are amplified in the Spark ecosystem which can involve heavy and mission-critical workloads and a more obscure infrastructure but lacks modern observability tooling.
definity’s data application native solution provides in-motion and contextualized insights into data pipeline execution, data quality, and data infrastructure performance. It runs in line with every data transformation on the platform, establishing observability with zero code changes in on-prem, hybrid, or cloud environments.
“Enterprise data engineers demand a new standard of observability that doesn’t exist today,” said Roy Daniel, co-founder and CEO at definity. “Traditional data monitoring focuses on the symptoms, assessing data quality at-rest in the data warehouse, which is too out-of-context, reactive, and simply not applicable for Spark. definity fills this void by taking a completely new approach focused on the data application itself, observing in-motion how data is processed and how the infrastructure operates, making Spark applications human-readable.”
definity helps data engineers prevent data incidents, find their root cause, and fix them faster. It also helps engineers automatically monitor the performance of data applications, identify optimization and saving opportunities across the platform, and optimize performance. This allows enterprises to minimize downtime, increase engineering velocity, and reduce infrastructure costs. The company was founded by Daniel alongside CTO Ohad Raviv and VP R&D Tom Bar-Yacov.
“Today’s enterprise data leaders face a serious pressure to ensure the reliability of the data powering the business, while increasing scale, cutting costs, and adopting AI technologies,” added Nate Meir, General Partner, StageOne Ventures. “But without x-ray vision into every data application, data teams are left blind and reactionary. definity is addressing this need head-on with a paradigm-shifting solution that is both powerful and seamless for data engineering and data platform teams.”
