Palni, Aim HighPalni, Aim High

Modernize Your Data. Accelerate AI.

From legacy modernisation to production AI, Palni helps enterprises build trusted data foundations on Databricks through data engineering, governance, analytics and industry focused solutions.

One Databricks Partner. From Strategy to Production AI.

Connect the early decisions, engineering work and operating discipline needed to make enterprise data useful. Palni supports the journey from direction and architecture through delivery and ongoing improvement.

Stage 1 of 6

Advisory and Strategy

Define the data roadmap, architecture priorities and business case before committing to a delivery path.

Stage 2 of 6

Modernisation and Migration

Move legacy data environments to modern platforms through structured discovery, conversion and validation.

Stage 3 of 6

Data Engineering

Build scalable pipelines, dependable ingestion and transformation, and trusted data products.

Stage 4 of 6

Governance and Security

Strengthen access control, lineage, ownership, quality and governance across the data environment.

Stage 5 of 6

Analytics and AI

Turn governed data into reporting, analytics, machine learning and AI applications.

Stage 6 of 6

Operate and Optimise

Improve reliability, performance, cost and scale as data products and usage grow.

From Modern Data to Enterprise Intelligence

Connect fragmented data, modernise critical platforms and put trusted intelligence into the hands of the people who need it.

01

Modernize: Move Beyond Legacy Data

Migrate complex platforms and workloads to Databricks while preserving business logic, data quality and confidence in the results.

02

Trust: Build Confidence in Enterprise Data

Unify, reconcile and govern enterprise data so teams and AI agents can work from trusted information with the controls and lineage the business requires.

03

Intelligence: Put AI to Work on Your Data

Bring governed analytics, GenAI, conversational experiences and AI agents together with enterprise context to deliver useful answers, applications and actions.

Frequently Asked Questions

Short answers to what people ask us most. Still unsure? Ask us directly

What does Palni help enterprises do with Databricks?

Palni helps enterprises modernise data platforms, build trusted data products, strengthen governance and bring analytics and AI closer to enterprise data.

What is the Modernize, Trust, Intelligence journey?

Modernize moves legacy data to Databricks. Trust unifies and governs it. Intelligence puts analytics, GenAI and AI agents to work on that governed data.

Can Palni migrate us from Teradata to Databricks?

Yes. The AI Powered Data Migration accelerator automates Teradata migrations, and Security Migration moves Teradata security controls into Unity Catalog.

Where should we start with Databricks?

Usually with Advisory and Strategy: defining the data roadmap, architecture priorities and business case before choosing a delivery path.

How many Databricks certified people does Palni have?

Palni has more than 80 Databricks certified resources and more than 100 data engineers and AI practitioners.

Does Palni help with AI on Databricks?

Yes. Palni builds machine learning, GenAI, conversational analytics and AI agent use cases on governed Databricks data.

Put Our Databricks Expertise to Work

Talk to our Databricks experts about your data, modernisation or AI priorities. We can help you clarify the opportunity and identify the next practical step.

  1. Share your priorityTell us the challenge, platform or data priority you are working on.
  2. Meet a Databricks expertA senior Palni expert reviews your current setup with you.
  3. Agree a practical first stepLeave with a clear starting point you can act on.