Databricks Consulting Services in the UK for Production Lakehouses
Kanerika's Databricks consulting services for UK organisations cover architecture, governance, AI and migration. As a Databricks consultancy with certified experts, we design, implement and optimise lakehouse environments across England, Scotland, Wales and Northern Ireland that deliver speed, scalability and trusted insights. Each consultant brings hands-on tuning and governance experience.
Watch How We Deliver Databricks Across the UK
Published Delivery Outcomes
Reduction in infrastructure costs
Shorter ETL
runtime
Faster Data
processing
Improvement in
data accuracy
Faster time to
insights
Databricks Services for UK Organisations
Our Databricks consulting services for UK organisations run from strategy to deployment and ongoing optimisation. Each phase has agreed milestones, owners and acceptance criteria. Our Databricks implementation services deploy Databricks on Azure, AWS or Google Cloud and configure clusters, workspaces, governance and access controls.
Advisory and Roadmapping
- Review your data estate and platform maturity.
- Agree a Databricks adoption roadmap covering governance and security.
- Set architecture and integration choices for your chosen cloud.
Build and Rollout
- Create workspaces on Azure, AWS or Google Cloud in a UK region.
- Set up governance, identity and access controls first.
- Link existing lakes, warehouses and BI tools.
Pipelines and Data Engineering
- Build automated ETL and ELT workflows on Delta Lake.
- Organise data into bronze, silver and gold medallion layers.
- Run streaming and batch pipelines that scale with demand.
Machine Learning and AI Delivery
- Develop and track models with MLflow and Databricks notebooks.
- Productionise predictive models and AutoML workflows for faster insights.
- Ship production-grade gen AI applications with Mosaic AI tooling.
Governance, Security and Compliance
- Configure Unity Catalog for central data governance and lineage.
- Enforce role-based, fine-grained access and permission controls.
- Support UK GDPR, ISO 27001 and SOC 2 requirements.
Managed Services and Run Support
- 24×7 monitoring, alerting and incident response.
- Platform patching, updates and version upgrades.
- Proactive performance and cost optimisation, reviewed regularly.
Databricks Mosaic AI: Governed Enterprise AI Agents for UK Organisations
Mosaic AI brings Agent Bricks, Vector Search and AI Gateway together on one governed stack, so agents act on real enterprise data. Our certified Databricks engineers handle the build from evaluation to production, once your lakehouse is ready for UK workloads.
Agent Bricks
Create task-specific agents quickly with no-code Agent Bricks, measured against the CLEARS framework for latency and safety.
Vector Search
Index Delta tables in place, auto-sync on change, and combine vector and keyword search so agents retrieve accurate context.
Managed MCP
Expose Unity Catalog functions, Genie and DBSQL as governed tools that agents can call safely, with every call audited end to end.
AI Gateway
Send every model and tool call through one gateway with cost controls, rate limits and audit logging built in.
Databricks Unity Catalog: Central Governance for Data, Models and AI Agents
Unity Catalog applies one set of access rules, lineage records and audit logs across all workspaces, regions and clouds. Our certified Databricks engineers set up and migrate your catalogue for UK organisations, covering Hive consolidation and Unity AI Gateway rollout.
Policy-Based Data Access
Row, column and attribute-based policies are defined once and enforced in notebooks, dashboards and agents alike.
Lineage and Audit Trails
Lineage links tables, models and dashboards, and each access is logged automatically to support compliance reviews.
Governance Across Workspaces
A single catalogue covers workspaces, regions and clouds, which keeps policies consistent as your estate grows.
Unity AI Gateway Setup
Apply the same fine-grained policies to foundation model access as to data, with spend caps and smart routing on top.
Hive Metastore Migration
Move legacy Hive metastores and siloed catalogues into one governed Unity Catalog while live pipelines keep running.
Audit-Ready Setup
Access controls and audit logging are configured to support ISO 27701, ISO 27001, SOC 2 and UK GDPR obligations.
Databricks Lakebase: Serverless Postgres Inside Your Lakehouse
Lakebase is a fully managed, Postgres-compatible OLTP database on Databricks-managed storage, so transactional and analytical data share one governed foundation with no sync pipeline. Our certified Databricks engineers deploy and tune Lakebase for UK organisations, from architecture to production cutover, once Delta tables are ready.
Operational and Analytical Data
Postgres-compatible tables sit on Delta Lake storage, so applications and analytics share one governed foundation with zero replication lag.
Compute That Scales
Compute scales automatically with traffic, and every new Lakebase project runs with autoscaling by default, so you pay only for what you use.
Build, Cutover and Tuning
Our engineers design the architecture, validate a pilot and run the production cutover, then tune connection pooling and compute for real load.
MIGRATION SOLUTIONS
We specialise in migrating large Informatica ETL workloads to Databricks, ideal for UK organisations moving away from proprietary ETL to a modern cloud-native data engineering platform. Our Databricks migration services also cover SSIS, Azure Data Factory, Talend, DataStage and on-premises warehouses such as Teradata, Oracle and SQL Server.
Assessment
Inventory Informatica mappings, workflows and metadata objects
Deliver a phased roadmap with effort and time estimates
Map dependencies, reusable components and transformation logic
Conversion
Rebuild Informatica transformations as Spark-native Databricks pipelines
Rewrite mapping logic as tested PySpark notebooks
Preserve business rules and functional equivalence in every conversion
Validation
Check accuracy and performance with automated test suites
Confirm workflows run end to end with consistent data
Record validation results for audit traceability
Transition
Cut over with minimal disruption to the business
Put monitoring and alerts in place to catch issues early
Keep rollback and contingency plans ready during the production move
Enablement
Set up a modern data engineering practice on Databricks and Delta Lake
Add MLflow to manage the machine learning lifecycle
Coach in-house teams on new workflows, pipelines and monitoring
Why UK Organisations Choose Kanerika for Databricks
As a certified Databricks partner, Kanerika helps UK enterprises adopt, deploy and scale Databricks with confidence.
Hands-On Platform Expertise
Experience across Databricks architecture, governance, optimisation and performance tuning.
Full Lifecycle Delivery
Consulting, setup, training and ongoing platform support from a single provider.
Legacy Migration Experience
Legacy systems and ETL platforms migrated into modern Databricks environments with business rules preserved.
Governance and Security Built In
Delivery aligned with ISO 27701, ISO 27001, SOC 2 and UK GDPR requirements.
Faster Workloads, Lower Running Costs
Regular tuning and right-sizing of compute keep costs down and performance up.
Lasting Business Value
Aimed at quicker insights, lower ownership costs and better decisions from your data.
MIGRATION SOLUTIONS
Where UK Organisations Gain With Kanerika and Databricks
90% Less Data Lag with Databricks and Airflow
Impact:
- 90% Reduction in data lag
- 96% Reduction in reporting latency
- 100% Increase in BI adoption
Zero-Downtime Databricks Migration for Retail Analytics
Impact:
- Zero Downtime, no production interruption
- 100% Legacy Infrastructure Decommissioned
- 100% Centralized governance, lineage, and data access
71% Higher Reporting Accuracy with Informatica to Databricks
Impact:
- 71% Higher Reporting Accuracy
- 38% Reduction in Data Handling Costs
- 64% Faster Decision-Making
How to Begin
Step 1
Discovery Call
Tell us about your data goals. We review your current platform and show where Databricks adds value.
Step 2
Working Pilot
A small pilot proves the value. You see results before committing to the full rollout.
Step 3
Full Rollout
Once you are confident, we deliver the complete solution with minimal disruption to operations.
Let’s Transform Your Business
Frequently Asked Questions (FAQs)
How do I choose Databricks consulting services in the UK?
Pick a partner with certified Databricks engineers, relevant sector experience and a clear plan for life after go-live. Kanerika’s Databricks consulting spans lakehouse engineering, machine learning and governance for organisations across all four UK nations.
How long does a Databricks implementation take for a UK organisation?
Most programmes run 8 to 16 weeks, covering workspace setup, governance, integration and a first production workload. Enterprise programmes with many sources and units can take 6 months or more.
Which cloud platforms can we use for Databricks in the UK?
Databricks runs on Azure, AWS and Google Cloud, and each offers UK regions. We choose based on your existing contracts, data residency needs, security requirements and cost objectives.
How does Databricks handle unstructured data compared with a warehouse?
A lakehouse stores structured and unstructured data together, supports streaming and runs machine learning natively. Classic warehouses suit structured, batch-oriented reporting, so images, documents and event streams usually need a separate system.
Can Databricks work with the BI tools we already use?
Yes. Power BI, Tableau, Looker and other BI tools connect securely. We tune queries for faster dashboards so reports stay responsive as data grows.
Should a UK organisation choose Databricks or Microsoft Fabric?
It depends on existing contracts, skills and workloads. Databricks suits engineering-heavy and machine learning workloads; see our Microsoft Fabric consulting in the UK for comparison.
How does collaboration work across UK sites and time zones?
Delivery is remote, with onsite workshops when needed. Our working hours overlap with UK business hours, so stand-ups, reviews and sign-offs happen during your working day.
Which programming languages can our developers use on Databricks?
Notebooks support Python, SQL, Scala and R, and developers can mix languages in one notebook for data engineering, reporting and machine learning. Scala and Java code can also run as compiled JAR jobs on Databricks clusters, so existing skills carry over.
Can our in-house data team work with Kanerika on Databricks?
Yes. You keep ownership of priorities and business logic, while we add architecture depth, delivery capacity and build-versus-buy advice. Our data engineering services across the UK slot into your sprints, and engineers pair with yours so skills stay in-house.
Who owns the code and assets created on a Databricks project?
The statement of work sets ownership. Notebooks, pipelines and configuration built for you belong to you under its terms, while Kanerika keeps its pre-existing accelerators and templates.
How do you move Informatica workloads onto Databricks?
We inventory Informatica mappings and metadata, convert logic to PySpark, validate results, then cut over in a low-traffic window after parallel runs. Our framework automates 95% of conversion work.
Which legacy ETL tools and warehouses can move to Databricks?
We migrate Informatica, SSIS, Azure Data Factory, Talend, DataStage and custom ETL scripts, plus warehouses such as Teradata, Oracle and SQL Server. Prefer to consolidate on Microsoft Fabric? See our Databricks to Microsoft Fabric migration service.
How does a Databricks project meet UK data protection and security rules?
Controls follow ISO 27001, ISO 27701 and SOC 2. Designs reflect UK GDPR and ICO expectations, with FCA, PRA or NHS requirements added where relevant.
What do we receive at handover from a Databricks project?
You receive architecture documents, runbooks, pipeline and governance configuration, plus training sessions so your administrators can run the platform confidently without us.
What support is available after the platform goes live?
Our managed services offer 24×7 monitoring, patching, version upgrades and ongoing cost and performance optimisation, under agreed response times, with optional enhancement work.
What can UK organisations build with Databricks Mosaic AI?
Mosaic AI is Databricks’ platform for building, evaluating and deploying production AI agents on your own data. It combines Agent Bricks, Vector Search and AI Gateway. Typical uses include RAG applications, support agents and automated workflows over governed Delta tables. Models in production need monitoring and retraining, which our MLOps consulting across the UK covers.
How does Mosaic AI Vector Search keep agent answers accurate?
Mosaic AI Vector Search indexes Delta tables in place and syncs automatically when source data changes, so no separate ETL step is needed. It combines vector retrieval with keyword matching, then re-ranks results. Because it inherits Unity Catalog governance, each query respects the same access policies on the underlying tables.
What does Unity Catalog do in a Databricks environment?
Unity Catalog is the unified Databricks governance layer for data, models, notebooks, dashboards and AI agents. It centralises access control, lineage and audit logging across workspaces, regions and clouds through one ANSI SQL interface. Teams define a policy once and it applies everywhere, instead of managing permissions tool by tool.
Can Unity Catalog govern AI models and agents as well as data?
Yes. The same fine-grained policies, row and column filters and audit logging that protect tables extend to models, functions and AI agents. Unity AI Gateway adds governance over foundation model access, so administrators can set spend caps, rate limits and smart routing alongside ordinary data permissions, all within one audit trail.
What is Databricks Lakebase and how does it differ from a standard Postgres database?
Lakebase is a fully managed, serverless, Postgres-compatible OLTP database built directly into Databricks. Unlike a standalone Postgres instance, its tables sync continuously to Delta Lake and register in Unity Catalog automatically, so existing governance and lineage cover operational data without a separate pipeline between the two systems.
Is Databricks Lakebase generally available yet?
Yes. Lakebase became generally available on 3 February 2026, after a public preview in 2025. It builds on Neon technology, is PostgreSQL 16-compatible and runs on AWS and Azure across 14 regions. Since March 2026, new instances start with autoscaling enabled, so compute follows traffic. Confirm UK region availability during scoping.
How much do Databricks consulting services cost for UK organisations?
Cost depends on the number of workloads, data volumes, migration scope and whether governance and machine learning work sit on top of the platform. Focused assessments and proofs of concept start from the low five figures, while larger programmes run into six figures. Kanerika scopes work in phases and uses accelerators to cut manual effort and cost. Share your current stack and goals for a written estimate, with currency, scope and payment terms confirmed in the proposal.
