AI-Powered Databricks Migration Accelerators

Take the fastest path to Databricks migration by automating code conversion, validation, and data quality for your move to the Lakehouse.

Explore the accelerators

Migrate anywhere to databricks

No matter where your data lives today, Syren gets it to Databricks: governed, validated, and production ready.

Accelerators for every databricks migration path

Mobile-responsive dashboard

BQ2Bricks (BigQuery → Databricks)

Converts complex BigQuery SQL into optimized, Databricks-ready logic, accelerating migration, improving governance, and unlocking AI-powered Lakehouse analytics.

SQLForge2Bricks (Trino / Presto / MySQL / Athena / Snowflake → Databricks)

Converts SQL workloads across heterogeneous dialects into optimized, production-ready Databricks SQL, using deterministic parsing, rule-based transformation, and LLM-powered semantic analysis.

DP2Bricks (Dataproc → Databricks)

Moves Spark and Hadoop workloads from Dataproc's cluster-based architecture to Databricks' unified compute model, automating workload discovery, dependency analysis, and code transformation.

S2S Migration (Job compute → Serverless)

Converts code from job (server) compute to Serverless compute and resolves cluster-level dependencies for teams already running on Databricks.

Composer2Bricks (Cloud Composer → Databricks Workflows)

Converts Airflow DAGs and Composer environments into Databricks Workflows for unified pipeline management.

PBI2Bricks (Power BI → Databricks AI/BI)

Converts Power BI dashboards into governed Databricks AI/BI experiences, with automated metadata extraction, semantic mapping, and dashboard generation.

Tableau2Bricks (Tableau → Databricks AI/BI)

Converts Tableau dashboards into governed Databricks AI/BI experiences, with automated metadata extraction, semantic mapping, and dashboard generation.

SyrenForge (Alteryx → Databricks)

Converts Alteryx workflows into optimized, production-ready Databricks code.

SyrenDQF (Data quality, Lakehouse-wide)

A Databricks-native, AI-powered framework that automates data quality checks, anomaly detection, and remediation across Lakehouse pipelines, so migrated data is governed from day one.

Our Approach to Migrating to Databricks

AI-Powered, Accelerator-Led Migration

Assess

Source inventory, dependency mapping, complexity assessment, and migration wave definition.

Plan

Target Lakehouse architecture, migration strategy, rollout sequencing, and risk controls.

Convert

Automated and semi-automated conversion powered by Syren's migration accelerators

Validate

Functional, data, SQL, pipeline, and dashboard parity testing, backed by SyrenDQF's automated quality checks.

Cutover

Controlled release, parallel run, rollback readiness, and production sign-off.

Optimize

Performance tuning, cost optimization, governance alignment, and operational stabilization.

Success stories

ATHENA TO DATABRICKS

Syren-led Athena to Databricks Migration in Just 25 days

Syren enabled a low-disruption migration from Amazon Athena to Databricks Lakehouse using its Athena to Databricks migration accelerator.

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TRINO TO DATABRICKS

Syren Leads Databricks Migration for Scalable Gaming Analytics

Converts SQL workloads across heterogeneous dialects into optimized, production-ready Databricks SQL, using deterministic parsing, rule-based transformation, and LLM-powered semantic analysis.

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DATABRICKS LAKEHOUSE

3X Faster Decisions with 90% Accurate, AI-Powered Sales Insights in Just 3 Weeks

Syren built a custom Databricks Lakehouse with Medallion architecture and Genie integration, turning raw sales files into trusted, AI-powered insights for a fast-growing F&B brand.

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Accelerate your Databricks migration with Syren

Talk to a migration expert

FAQS

Questions teams ask before they start

A Databricks migration accelerator is an automation toolkit that handles discovery, code conversion, and validation for moving a workload onto the Databricks Lakehouse. Syren's accelerators automate dependency mapping, code translation, and output validation for each source platform they support.
Syren's accelerator suite covers BigQuery (BQ2Bricks), Dataproc (DP2Bricks), Cloud Composer (Composer2Bricks), Alteryx (SyrenForge), Power BI (PBI2Bricks), Tableau (Tableau2Bricks), and SQL dialects including Trino, Presto, MySQL, Athena, and Snowflake (SQLForge2Bricks).
Timelines vary with workload complexity. Syren has completed accelerator-led migrations in 15 to 25 days end to end, including an Amazon Athena migration (25 days) and a Trino migration (15 days).

Yes. SyrenDQF is a Databricks-native, AI-powered data quality framework that runs alongside migrations to automate rule generation, anomaly detection, and remediation.
Yes. Syren's S2S Migration accelerator converts job (classic) compute workloads to Databricks Serverless compute and resolves cluster-level dependencies as part of the switch.
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