definity announced the general availability of its pioneering Data Application Observability & Remediation platform for Spark data analytics environments, marking a significant advancement in data operations. And the company is also announcing it has raised $4.5 million in a seed funding round led by StageOne Ventures, with participation from Hyde Park Venture Partners and additional strategic angel investors.
definity bridges this gap with the industry’s first data application native solution, offering in-motion and contextualized insights into data pipeline execution, data quality, and data infrastructure performance. And using a unique agent-based architecture, definity runs inline with every data transformation on the platform, establishing ubiquitous observability with zero code-changes: in on-prem, hybrid, or cloud environments.
Built specifically for Spark-heavy environments, definity helps data engineers to proactively prevent data incidents, find their root-cause, and fix them faster than ever before. And definity also enables engineers to automatically monitor data applications’ performance, identify concrete optimization and saving opportunities across the platform, and easily optimize performance. This enables enterprises to minimize downtime, increase engineering velocity, and reduce infrastructure costs.
The company was founded by CEO Roy Daniel (former product executive at FIS), CTO Ohad Raviv (former big-data tech lead at PayPal and Apache Spark contributor), and VP R&D Tom Bar-Yacov (former data engineering manager at PayPal). After seeing the challenges of managing mission-critical data applications at high-scale firsthand, they built the solution they sought for the enterprise segment.
KEY QUOTES:
“Enterprise data engineers demand a new standard of observability that doesn’t exist today. 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.”
- Roy Daniel, co-founder & CEO, definity
“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. 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.”
- Nate Meir, General Partner, StageOne Ventures
