Databricks Data & Integration Partner
Lakehouse builds, Delta pipelines, and Unity Catalog governance in your own cloud account. Your team owns what we ship and can run it without us.
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What a Databricks partner is actually for
As a certified Databricks partner, Aptologics helps organizations implement and optimize the Databricks Lakehouse Platform to unify data engineering, analytics, and AI workloads.
Every consultant on the project has ten years of experience or more, and the work happens in your own cloud account and your own repositories. You can read the commits as they land.
Databricks Implementation Capabilities
Your scope would be drawn from some of this and never all of it.
Lakehouse architecture
Bronze, silver, and gold layers in Delta Lake, with the table layout, partitioning, and Z-ordering chosen for how you actually query rather than copied from a reference diagram.
Pipelines that survive their author
Ingestion with Auto Loader and schema evolution, orchestration in Databricks Workflows, and Delta Live Tables where declarative pipelines earn their keep. Expectations and retries included, not deferred.
Unity Catalog governance
One catalog across workspaces, with table and column-level grants, row filters, lineage, and audit. Migration from legacy Hive metastore included where you are still on one.
Streaming, when you need it
Structured Streaming with checkpointing and watermarking for late data. We will also tell you when a scheduled batch every fifteen minutes answers the question at a fraction of the cost.
Cost and performance work
Photon where it pays, cluster policies and instance pools to stop idle spend, autoscaling bounds that actually bind, and finding the handful of jobs responsible for most of your DBU bill.
ML that reaches production
MLflow for tracking and registry, Feature Store where features are genuinely reused, and Model Serving behind your own identity provider. Monitoring and retraining are part of the build.
Benefits of Our Databricks Partnership
Partner with Aptologics for your Databricks implementation to gain these strategic advantages.
Certified Expertise
Our team of Databricks-certified professionals brings deep technical knowledge and implementation experience.
Accelerated Time-to-Value
Our proven implementation methodology and pre-built accelerators reduce time-to-value for your Databricks investment.
One team across the stack
Workspace and cluster setup, the pipelines, the modelling on top, and the serving layer, without a handoff between three vendors in the middle.
Knowledge Transfer
We ensure your team gains the skills and knowledge needed to maximize your Databricks platform investment.
Strategic Partnership Benefits
- Early access to Databricks product roadmap and new features
- Joint solution development with Databricks engineering teams
- Dedicated Databricks partner support channels
- Co-marketing and joint go-to-market opportunities
Technical Partnership Benefits
- Access to Databricks best practices and reference architectures
- Custom-built accelerators for common Databricks use cases
- Optimized implementation patterns for performance and cost efficiency
- Integration expertise with the broader data ecosystem
Works alongside the rest of your stack
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Where we have done this
Quilt Software
Off Redshift and Power BI, onto Databricks and Tableau
Quilt Software runs multiple point-of-sale brands. We migrated their reporting stack in 2023 and have run their data engineering since.
Read the case studyDental Intelligence
Five years, one embedded team
We have run data engineering for Dental Intelligence since 2021. It is our longest engagement, and it started with a warehouse that did not exist yet.
Read the case studyGet Started
Get a scope and a price before you commit anything
One problem, named and priced in writing. Yours to act on however you like, including elsewhere.
