Does BI Backlog need access to our actual data?

No. BI Backlog analyzes metadata and usage information without requiring access to the underlying business data.

How long does a migration assessment take?

Assessment timelines vary based on the size and complexity of the BI environment, including the number of dashboards, reports, users, and data sources involved.

What does an assessment cost?

Assessment costs depend on the scope of the engagement, BI environment complexity, and migration requirements. KPI Partners provides pricing based on each organization’s needs.

Redefine what's
possible

Standardize Data Engineering on One Governed Platform

Databricks Lakeflow lets data teams ingest, transform, and orchestrate pipelines on one platform, governed end to end by Unity Catalog. KPI Partners gets you there faster, with migration accelerators and production discipline proven on Databricks.

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Databricks Silver Partner, Migrate & Modernize Specialized

What Standardizing on Lakeflow Changes for Each Team

Executive Leadership

Spend less licensing and governing overlapping tools, and build the foundation agentic AI needs.

Business Leaders

Work from fresher, trusted data, with analysts preparing their own data in Lakeflow Designer.

Technical Decision Makers

Run the full data engineering lifecycle under one governance model and one operational view.

Engineers and Architects

Build with declarative pipelines, managed connectors, and AI-assisted authoring in Genie Code.

A Standardization Decision,

Not a Tool Swap

Most enterprise data estates grew one capability at a time. Lakeflow brings ingestion,

transformation, and orchestration onto one Databricks-native path, and you can adopt

it pipeline by pipeline.

Four Ways to Start Your Lakeflow Journey

Each engagement has a defined scope and outcome, so

you can start small, prove value, and scale on evidence.

We inventory your sources, pipelines, and schedulers, then match each one to its Lakeflow pattern.

Source-by-source ingestion plan
Cost comparison with your current tool stack
Prioritized migration roadmap

We take one high-value source end to end into production, so you see results in weeks, not quarters.

Managed ingestion and a declarative pipeline
Unity Catalog permissions and lineage
Continuous integration and continuous delivery (CI/CD) across environments

We use accelerators to convert legacy ETL logic in waves, validating every wave against the source before cutover.

Automated code conversion
Parallel runs and data reconciliation
Tool decommissioning plan

We keep pipelines reliable and costs predictable once they are live.

Monitoring, alerting, and incident response
Compute and cost optimization
New sources and use cases onboarded

Moving to Lakeflow from the Systems You Run Today

We map each tool to its Lakeflow equivalent, convert the logic systematically, and run old and new side by side until the results match.

Why KPI Partners for Lakeflow

Migration Accelerators Proven on Databricks

Our Data Platform Migration Accelerator and Informatica to Databricks Migration Accelerator convert legacy ETL logic systematically, not by hand, cutting cost and risk.

Production Discipline from the First Pipeline

Continuous integration and continuous delivery (CI/CD), audit trails, and multi-environment deployment built in from day one.

A Path from Pipelines to AI

Unity Catalog implementation plus Genie and AI delivery, so governed data becomes business outcomes. Our Enterprise Analytics Accelerator adds prebuilt analytics for sources such as Oracle, Workday, SAP, and Salesforce, and IQ Foundry brings domain agents for procurement, supply chain, HR, sales, and finance.

A certified Databricks partner, validated through real customer migrations

Explore the KPI Partners and Databricks partnership

Featured Case Studies & Blogs

Proof and perspective from our Databricks data engineering work: automated

migration, governed pipelines, and production-grade delivery.

Legacy Informatica ETL to Databricks for a Global Manufacturer

Read Case Study

GitOps CI/CD for 50+ Databricks Jobs at a Consumer Data Technology Company

Read Case Study

Data Engineering Modernization for a Global Life Sciences Enterprise

Read Case Study

Serving pipeline data to apps and AI agents in real time?

See how KPI Partners puts Databricks Lakebase to work for transactions, analytics, and AI on one governed platform.

Explore Databricks Lakebase

Common Questions About Databricks Lakebase

What is Databricks Lakeflow?

Lakeflow is Databricks' data engineering solution. It brings ingestion (Lakeflow Connect and Zerobus Ingest), transformation (Spark Declarative Pipelines and Lakeflow Designer), and orchestration (Lakeflow Jobs) onto one platform, all governed by Unity Catalog.

How does Lakeflow relate to Delta Live Tables (DLT)?

Delta Live Tables has evolved into Spark Declarative Pipelines within Lakeflow. Existing DLT pipelines keep running, and teams gain newer capabilities such as Real-Time Mode, now in preview. We help teams modernize DLT pipelines and bring them under Lakeflow Jobs.

Do we have to migrate everything at once?

No. Most organizations start with one high-value source or pipeline, prove the result, and expand in waves. Lakeflow runs alongside your existing tools during the transition, and we plan the decommissioning order so you stop paying for tools as soon as possible.

How does Lakeflow compare with Fivetran plus Airflow, or Azure Data Factory?

Those stacks split ingestion, transformation, and orchestration across separately licensed tools, each with its own governance. Lakeflow keeps all three on Databricks under Unity Catalog, so lineage, permissions, and cost reporting are unified. The right answer depends on your sources and scale, which our Lakeflow Readiness Assessment works out.

What does Lakeflow cost, and is there a free tier?

Lakeflow is billed on Databricks usage. For Lakeflow Connect, every workspace receives 100 Databricks Units (DBUs) per day at no cost across eligible managed connectors, which Databricks says supports up to 100 million records per day. Check Databricks' current pricing for your cloud, and we will model total cost against your current stack.

Will we be locked in?

Spark Declarative Pipelines is built on open-source Apache Spark, and your data stays in open table formats such as Delta Lake and Apache Iceberg. Both your pipeline logic and your data stay portable.

Ready to Standardize Data Engineering on

Databricks Lakeflow?

Building a governed foundation for AI, KPI Partners will help you find the

right first pipeline and scale from there.

Talk to an Expert

KPI Partners and Databricks partnership

Standard Enterprise

AI Engagement Model

Success Stories

Reduced claims turnaround using AI-driven workflow automation, improving speed and consistency across operations.

Global Financial Services Leader

Enabled self-service access to ERP and analytics using governed GenAI, reducing IT dependency and improving decision speed.

Leading U.S. Beverage Manufacturer

Improved reliability through predictive intelligence and root-cause analysis embedded into operational workflows.

Global Manufacturing Leader

Data Platform Migration for Modern Analytics

KPI DataBridge Suite is designed to help enterprises modernize their data and analytics infrastructure across:

BI Modernization 🔗
Data Platform Migration 🔗
Data Products 🔗