Opsera, the AI-powered DevOps platform and Databricks Startup Award winner, has announced a strategic partnership with Koantek, an Elite Databricks Partner backed by Databricks Ventures. Together, the companies will help enterprises deploy, scale, and operationalize Databricks environments faster—with stronger governance, automated CI/CD, and significantly reduced operational burden.
The partnership pairs two leaders in the Databricks ecosystem:
- Koantek: Known for deep Databricks engineering expertise, large-scale migrations, and award-winning implementations.
- Opsera: Provider of a Built on Databricks–certified CI/CD and governance platform that automates releases for notebooks, workflows, DLT pipelines, Delta Live Tables, DABs, ML artifacts, and more—without requiring teams to maintain brittle scripts or Terraform modules.
Together, they aim to give enterprises a unified path from Databricks adoption to Databricks transformation, reducing the time, cost, and risk associated with scaling modern data and AI platforms.
Automation + Engineering: A New Standard for Scaling Databricks
“Koantek has some of the deepest Databricks engineering expertise in the ecosystem, and Opsera brings the automation foundation enterprises need to scale with confidence,” said Kumar Chivukula, CEO and Co-Founder of Opsera. “Together, we are giving customers the ability to standardize releases, govern deployments, and unlock the full value of their Databricks investment.”
As the volume of Lakehouse, DLT, DBSQL, and GenAI workloads grows, enterprises are running into operational bottlenecks: hand-written deployment scripts, fragile release processes, inconsistent governance, and limited visibility across environments. The Opsera + Koantek partnership is designed to eliminate these systemic barriers.
Koantek’s SVP of Alliances, Marketing & Enablement, Ghassan Lababidi, emphasized the shift customers are undergoing:
“Our customers are moving from Databricks adoption to Databricks transformation, and they need a faster, safer, and more scalable way to operationalize data and AI. Partnering with Opsera adds a proven automation layer that eliminates deployment friction, reduces human error, strengthens governance, and accelerates ROI across the entire AI lifecycle.”
What the Joint Offering Delivers
The combined solution provides a structured, repeatable, enterprise-scale delivery model for the entire Databricks platform:
1. Accelerated Onboarding and Migration
Move from initial Databricks setup to fully governed operations in weeks, not months.
2. Automated CI/CD for All Databricks Assets
Including notebooks, workflows, Delta Live Tables, Databricks Asset Bundles (DABs), and ML artifacts.
3. Built-In Governance and Compliance
Quality gates, policy enforcement, audit trails, approvals, and environment-specific guardrails.
4. Operational Scalability Without Headcount Growth
A delivery model that reduces engineering load, human error, and time-to-release.
5. End-to-End Visibility and Observability
Lineage-aware promotion, deployment insights, and integrated operational dashboards.
The partnership applies to new implementations, modernization efforts, and platform expansions across financial services, healthcare, energy, retail, technology, and other sectors accelerating their AI and Lakehouse initiatives.
Part of a Fast-Maturing Databricks Partner Ecosystem
Databricks leadership welcomed the collaboration as a natural extension of its partner-first strategy.
“Koantek and Opsera represent the strength of the Databricks partner ecosystem — deep engineering expertise paired with powerful automation,” said Heather Akuiyibo, VP of GTM Integration at Databricks. “Together, they’re helping customers accelerate AI adoption, scale governance, and realize faster time to value on the Databricks Data Intelligence Platform.”
With data and AI workloads entering a new era of scale and operational complexity, the Opsera + Koantek partnership provides enterprises with the automation, governance, and engineering depth required to unlock the next phase of Databricks-driven innovation.
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