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.

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How Aptologics as a Data Provider Will Work

Databricks natively integrates with Delta Sharing, the world's first open protocol for securely sharing data across organizations in real time, independent of the platform on which the data resides.

DATA PROVIDER

Delta Lake Table

Delta Sharing Server

Access permissions

SPACER

Delta Sharing Protocol

No replication
Easy to manage
Secure

DATA RECIPIENT

Any use case

Analytics

BI

Data Science

Any tool

P

Power BI

S

Spark

P

Pandas

T

Tableau

Any cloud/on-prem

GCP

AWS

Azure

Benefits of Delta Sharing with Aptologics

Secure data sharing without data duplication or movement
Real-time access to the latest data for all recipients
Fine-grained access controls and permissions management
Platform-agnostic sharing with any cloud or on-premises environment
Support for a wide range of analytics tools and programming languages

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

Databricks Data & Integration Partner