As a certified Databricks partner, Kanerika helps enterprises unlock the full potential of their data and AI investments. We combine deep, hands-on expertise in AI and data engineering with the Databricks platform to help businesses modernize their data infrastructure, simplify complex workflows, and drive measurable business ROI.
faster AI deployment cycles
faster data engineering cycles
reduction in operational costs
quicker time-to-insight
Our collaboration with Databricks is about more than just technology, it’s about outcomes. By combining our AI expertise with their data intelligence capabilities, we help enterprises to move faster, make smarter decisions, and scale with confidence
Databricks is a cloud-based data intelligence platform that brings together data engineering, analytics, and AI on a unified, scalable Lakehouse architecture. Founded in 2013 by the creators of Apache Spark™, Delta Lake, and MLflow, Databricks combines the strengths of data warehouses and data lakes to deliver an open, modern platform designed for advanced data and AI workloads.
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It means Databricks has formally recognized Kanerika’s technical competency on its platform. Our engineers hold Databricks certifications, our delivery methodology is reviewed against Databricks standards, and we appear in the official Databricks partner directory. For clients, that means a delivery team vetted by the platform vendor, not just by us.
Databricks builds and licenses the platform; it doesn’t run large implementation, migration, or governance projects for clients. A certified partner like Kanerika provides the hands-on engineering and industry experience needed to design, build, and support your Databricks environment, while you still hold your platform relationship and contract directly with Databricks.
What does Kanerika’s Databricks partnership actually include?
The partnership gives Kanerika certified access to Databricks training, technical documentation, and partner enablement resources, plus a verified listing in the Databricks partner directory. It confirms our team meets Databricks’ bar for platform knowledge. It doesn’t replace your direct relationship with Databricks for licensing, support contracts, or platform account management.
Yes. Kanerika’s Databricks practice includes engineers holding active Databricks certifications across data engineering, machine learning, and platform administration. Certification requires passing Databricks’ own technical exams, not just project experience. This means the people designing and building your Lakehouse environment have been independently tested on the platform, not only trained internally.
Yes. Many clients approach Kanerika with an existing Databricks environment that needs governance cleanup, performance tuning, cost optimization, or migration from a legacy ETL tool. We assess your current setup first, rather than assuming a rebuild, and scope work around what’s already working versus what actually needs to change.
Kanerika’s partnership gives our own team access to Databricks technical resources and documentation used during delivery. Your organization’s direct support relationship with Databricks, for platform issues, licensing, or account management, stays separate and continues through your own Databricks account team, no matter which partner delivers your implementation work.
Kanerika is listed in Databricks’ public partner directory, searchable by company name and region. You can also ask your Databricks account representative directly to confirm our partner status and any certifications held. We would rather you verify this independently than simply take our word for it before signing any contract.
No. Databricks licensing, consumption pricing, and contract terms are set directly between your organization and Databricks, and stay unchanged regardless of which partner you engage. Kanerika’s role is limited to the consulting and implementation work; we don’t set, mark up, or influence your underlying platform pricing in any way.
Kanerika has delivered Databricks projects across financial services, healthcare and life sciences, retail, manufacturing, logistics, and technology sectors. Case studies from these engagements are published on our site with the specific outcomes achieved. Ask your account contact for examples closest to your industry before scoping a new engagement.
It’s primarily technical: certification, training access, and a directory listing that confirms our delivery competency. We don’t currently run co-branded marketing campaigns or joint events with Databricks as part of this partnership. If that changes, we will update this page rather than imply activity that isn’t happening yet.
A generic consultant may work across many platforms without deep, tested expertise in any single one. Kanerika’s Databricks certification means our engineers have passed Databricks’ own technical assessments, not just claimed familiarity. That’s independently verifiable credibility a prospect can check, rather than a claim they simply have to take on trust.
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