We’re excited to announce the Common Availability of the SQL Server connector from Lakeflow Join. This totally managed connector is designed for dependable, production-grade ingestion with built-in Change Information Seize (CDC) and Change Monitoring (CT). By eradicating the necessity for customized pipelines or complicated instruments, it simplifies ingestion, ensures knowledge freshness, and reduces operational overhead to speed up insights. Additionally, for BI-first migrations, built-in CDC assist retains analytics workloads constantly updated, making it simpler to convey SQL Server knowledge into the lakehouse with the efficiency, safety, and scalability that enterprises require.
Microsoft SQL Server powers among the world’s most business-critical purposes, but its knowledge is commonly locked in a system purpose-built for transactions, not analytics. As organizations transfer these workloads to the lakehouse, dependable ingestion is important. Conventional ingestion pipelines are complicated to construct, expensive to take care of, and may overload manufacturing programs, whereas a number of cases and hybrid on-premises and cloud environments result in patchwork options which might be arduous to control. The SQL Server connector from Lakeflow Join solves these challenges with a totally managed, streamlined and ruled answer that unlocks SQL Server knowledge for superior analytics and AI.
Constructed-in knowledge ingestion assist for a lot of SQL Server database environments
The SQL Server connector makes it simple to ingest knowledge from varied SQL Server environments into the lakehouse, the place it may be used for analytics and enterprise intelligence throughout the group, together with:
- Azure SQL
- Azure SQL Managed Occasion
- AWS RDS for SQL Server
- SQL Server on GCP
- On-premises SQL Server deployments
The connector is straightforward to arrange with a point-and-click UI or easy API and integrates seamlessly along with your present workflows and deep platform integration with Databricks. For instance, you’ll be able to align along with your CI/CD practices through Databricks Asset Bundles or the Databricks Terraform supplier.
It’s additionally constructed for effectivity. The connector helps each CDC and CT for incremental ingestion as a substitute of needing to run full refreshes. By capturing solely new or up to date information, prospects can maintain their lakehouse constantly up-to-date to ship worthwhile enterprise insights, speed up decision-making, and cut back prices.
For organizations that must handle knowledge modifications over time—like buyer particulars, product attributes, or organizational constructions—Lakeflow Join additionally supplies out-of-the-box assist for monitoring historic modifications with Slowly Altering Dimensions (SCD) Kind 2, lowering the complexity with a important characteristic to trace historic modifications alongside present values.
Enterprise prospects drive influence with Lakeflow Join
Since we launched a yr in the past, greater than 2,000 prospects have used Lakeflow Connect with ingest their most business-critical knowledge to drive constructive outcomes.
For instance, Cirrus Plane Restricted, based in 1984, designs, develops, manufactures, and sells premium plane around the globe. An early adopter of the SQL Server connector, they wanted to maneuver knowledge off a number of hybrid SQL Server environments into their lakehouse to ship extra worthwhile knowledge again to their groups. With its easy setup and environment friendly incremental ingestion, the connector enabled Cirrus to shift from pipeline integration and upkeep to strategic initiatives that moved the needle for his or her enterprise.
“Lakeflow Join’s SQL Server connector is a recreation changer. We migrated tons of of tables from hybrid environments in days-sometimes hours-instead of months. The true win: our builders can focus extra time delivering higher-value knowledge and insights to the enterprise.”— Nick Patullo, Information Engineer Sr., Cirrus Plane Restricted
One other Databricks buyer, the Australian Crimson Cross Lifeblood is funded by the Australian governments to offer life-giving blood, plasma, transplantation and organic merchandise, together with breast milk and FMT to ship world-leading well being outcomes with 10.5 million eligible donors. They use Lakeflow and the SQL Server connector to assist construct dependable, maintainable pipelines rapidly and constantly. Be taught extra by watching their on-demand presentation, a part of, “From Burnout to Breakthrough: A New Strategy to Information Engineering,” or watch their 2025 Information + AI Summit session, “From Datavault to Delta Lake: Streamlining Information Sync with Lakeflow Join.”
“Databricks Lakeflow Join provides us a easy, dependable SQL Server connector that delivers knowledge into our lakehouse with out complicated knowledge engineering.” — Dr. Andrew Clarke, Senior AI/ML Engineer, Australian Crimson Cross Lifeblood
Ubisoft is a creator of worlds, dedicated to enriching gamers’ lives with unique and memorable leisure experiences. Ubisoft’s international groups create and develop a deep and numerous portfolio of video games, that includes manufacturers resembling Murderer’s Creed®, Simply Dance®, and much more. For the 2024-25 fiscal yr, Ubisoft generated internet bookings of €1.85 billion.
“Ubisoft is wanting ahead to implementing the SQL Server connector from Lakeflow Join throughout our manufacturers for key tasks to assist speed up translating SQL Server knowledge into actionable recreation manufacturing insights.” — Valéry Simon, Director of Information Platform & Engineering, Ubisoft
Unlock a variety of SQL Server use circumstances with Databricks
The SQL Server connector allows a variety of industry-specific use circumstances, resembling buyer 360, portfolio administration, shopper analytics, and inner chatbots to assist drive significant influence.
For instance, a Buyer 360 use case in retail advertising and marketing could must matching buyer personas to the precise promotions, which frequently means stitching collectively knowledge from siloed programs, resembling:
- SQL Server operational knowledge: promotions, stock, transactions
- Salesforce buyer knowledge: emails, offers, personas
The problem is that SQL Server additionally underpins mission-critical purposes, so operating heavy queries or performing full refreshes can introduce latency and influence operational efficiency.
With Lakeflow Join, knowledge flows seamlessly into the lakehouse with out complicated pipelines or operational influence. The SQL Server connector helps multi-environment ingestion with built-in CDC and CT, whereas the Salesforce connector incrementally ingests knowledge from Salesforce core. Collectively, they ship a ruled, analytics-ready Buyer 360 view—accelerating insights and eradicating the necessity for fragile third-party instruments or customized code.
Buyer 360 Use Case with Lakeflow Join
Getting began with Lakeflow Join
Lakeflow Join provides easy and environment friendly connectors to ingest knowledge from standard purposes, databases, cloud storage sources, message buses, and extra. For the reason that Information + AI Summit in June, we’ve continued to increase the breadth of supported knowledge sources for Lakeflow Join. Each the ServiceNow and Google Analytics connectors are actually GA, with extra releases coming for Zerobus Ingest, SharePoint, PostgreSQL, and SFTP. We even have new query-based connectors for database and knowledge warehouse sources resembling Oracle DB, MySQL, Teradata, and extra, coming quickly in preview. Attain out to your account workforce if keen on collaborating.
Get began immediately with the SQL Server connector to assist unlock high-value use circumstances. Try the SQL Server documentation for particulars on arrange your SQL Server and the newest options, in addition to extra particulars on charges. You’ll be able to study extra about Lakeflow capabilities via our new “Information Engineering with Databricks” video sequence on YouTube or register for Lakeflow Join programs from Databricks.