Blueprint's portfolio of $0 Lakebase readiness assessments and the accelerators that power them. Each offer is a fixed-scope, time-bound engagement designed to unlock immediate ROI for customers adopting Databricks Lakebase, aligned with the Databricks SQL migration playbook.
Customer playbook (public): The Lakebase Migration Playbook — the customer-facing reference for interpreting readiness results, planning migration phases, and optimizing performance. Share this URL with customers and account stakeholders.
| Offer | Duration | Core Accelerator | Status |
|---|---|---|---|
| Lakebase Readiness in 2–3 Weeks | 2–3 weeks | Lakebase Readiness Assessor | Production |
| Lakebase PoC Accelerator | 2 weeks | Migration Framework + Playbook | In development |
Each offer is designed to be:
- Zero cost for the initial engagement, to remove procurement friction and drive velocity.
- Time-bound and outcome-oriented, with a defined set of artifacts delivered to the customer.
- Backed by a reusable accelerator that carries the majority of delivery effort, enabling Blueprint to deliver profitably even at zero cost.
- A credible on-ramp to paid follow-on work (PoC, migration execution, optimization, training).
lakebase-assess/ Core assessor tool (CLI, Python package)
├── src/ Assessment engine: connectors, scoring, billing, outputs
├── tests/ Unit & integration tests
├── pricing_maps/ YAML configs for platform pricing
├── templates/ Report templates (PDF, HTML, JSON)
└── pyproject.toml Dependencies & configuration
docs/ Customer-facing playbook (published to GitHub Pages)
├── index.md Start here: roles-based navigation
├── getting-started/ First-time setup & interpretation guide
├── scorecard-anatomy/ What each scoring dimension means
├── migration-playbooks/ Step-by-step guides for each workload type
├── trust-foundations/ Data governance & preparation checklist
└── faq.md Common questions
reference/ Databricks SQL & platform resources
This project is not open-source. It is released under the Blueprint Business Source License (BSL) 1.1, which allows organizations to use the code internally for evaluation and migration assessment, but prohibits commercial use, resale, hosting as a service, or white-labeling.
A read-only CLI tool that profiles your legacy platform and generates a comprehensive readiness scorecard:
- Platform Connectors → Query history and metadata collection for Snowflake, BigQuery, Redshift, Oracle, Teradata, Vertica, Azure Synapse, on-prem systems
- Opportunity Scoring → Quantifies readiness (0–100) and prioritizes workloads for migration
- Cost Modeling → Estimates annual savings by workload and platform
- Workload Classification → Maps workloads to seven Lakebase fit categories (analytics, point lookups, agent state, app backends, feature serving, heavy ETL, real-time aggregations)
- Report Generation → PDF executive summary, JSON payload, CSV exports, HTML dashboard
- Executive Scorecard → One-page readout: top findings, estimated ROI, top 3 PoC candidates
- Detailed Assessor Report → Per-workload scores, blockers, recommendations, effort estimates
- Cost-Benefit Analysis → Monthly & annual savings projections vs. current platform
- Migration Roadmap → Phased approach with effort estimates and risk flags
- PoC Proposal → Scope and timeline for first-phase migration validation
- Customer-facing interpretation guides for each role (executive, data owner, engineer)
- Migration playbooks for each workload type
- Trust foundations: data governance, schema prep, testing checklists
- FAQ and troubleshooting
# Install the assessor
pip install -e lakebase-assess/
# Run against a customer's Snowflake environment
lakebase-assess run \
--platform snowflake \
--config ./my-customer-config.yaml \
--output-dir ./assessment-output \
--anonymize \
--threshold 10
# Outputs: report.pdf, results.json, executive_summary.html, blockers.csvSee ACCELERATOR.md for full setup and running instructions.
- Get your executive summary: Open
executive_summary.htmlor the PDF - Understand your score: Each workload is scored 0–100. Scores ≥25 are PoC candidates.
- Pick your first 3: The report highlights Priority 1 workloads (easiest, highest ROI)
- Plan your roadmap: Use the recommended phasing and effort estimates to build your migration plan
- Read the playbook: See docs/index.md for role-based guides
After running an assessment, you'll see:
Executive Summary:
Platform: Snowflake
Workloads Assessed: 150
Priority 1 (Ready Now): 42 workloads, avg. score 72
Evaluate (Needs Prep): 68 workloads, avg. score 16
Hold (Not Yet Ready): 40 workloads, avg. score 6
Estimated Annual Savings: $2.8M (42% of current spend)
Recommended PoC Timeline: 2–3 weeks
Recommended Phase 2 Timeline: 8–12 weeks
Workload Example (Analytics Dashboard):
Name: customer_revenue_analytics
Platform: Snowflake
Type: Analytics (Read-heavy aggregations)
Opportunity Score: 87 (Priority 1)
Pain: 8/10 (peak concurrency issues)
Business Impact: 9/10 (CFO dashboard, daily use)
Complexity: 2/10 (Standard SQL, no UDFs)
Estimated Monthly Savings: $18K ($216K/year)
Migration Effort: 1–2 weeks
Recommended Actions:
1. Migrate schemas to Delta Lake (2 days)
2. Rewrite 3 aggregation queries (3 days)
3. Validate results against current platform (2 days)
4. Cutover & monitor (1 day)
You may:
- Clone, modify, and use this repository internally
- Use it for Lakebase migration evaluation, planning, and proof-of-concept work
You may not:
- Sell, resell, or monetize this software
- Offer it as a hosted service
- Incorporate it into a commercial product
- White‑label or rebrand it as your own consulting accelerator
- Use it to compete with Blueprint Technologies’ commercial offerings
For full details, see the LICENSE file.
If you're a Blueprint customer: Your assessment results come with a proposal for Lakebase PoC (Free+ support) — a 2-week sprint where we migrate your top Priority 1 workload end-to-end. You see real cost numbers, your team learns the migration patterns, and you control whether to execute Phase 2 migrations in-house or with Blueprint support.
If you're exploring Lakebase: Download the code, run a self-service assessment against your sandbox environment, and see if migration makes sense for your use cases. Public docs are in ./docs/.
- ACCELERATOR.md — Full setup guide, running the assessor, customizing configs
- docs/index.md — Customer-facing playbook (start here to understand your assessment results)
- reference/ — Databricks SQL and migration resources
- Databricks Lakebase Docs: docs.databricks.com
- Databricks SQL Migration Guide: Migrating from Snowflake/Redshift/BigQuery to Databricks SQL
Blueprint Technologies is a modern data and AI consultancy specializing in:
- Databricks Lakehouse & Lakebase → Platform consolidation, cost reduction, SQL migrations
- Generative AI & Agents → Building AI-powered data products with Databricks Genie and custom agents
- Cloud-scale data engineering → Scalable ELT, real-time pipelines, governance
- AI/ML platforms → Feature stores, model serving, MLOps on Databricks
We build accelerators like this one to make migrations faster, less risky, and more profitable for both customers and Blueprint.
Learn more at: https://bpcs.com