Staff Site Reliability Engineer

Use SQL Server binary log reader to accelerate database replication. The Fivetran binary log reader optimizes change data capture for superior performance and lower impact when replicating from SQL Server. SQL Server powers critical business operations across every industry, including hospital scheduling systems, retail order platforms, and financial applications. These transactional databases must provide high, consistent performance with large data volumes. Organizations often struggle to quickly ingest business-critical data into a data warehouse or data lake without disrupting production environments. Building and maintaining performant data pipelines for high-volume use cases is fraught, at best, risking stoppages, bugs, and downtime of all kinds. Organizations need near-100% uptime guarantees for backend databases that support critical operations and for data pipelines that deliver analytics. To address these struggles, Fivetran is introducing the SQL Server binary log reader, a new ingestion method designed for sensitive, high-volume database environments. It delivers high-speed, low-impact change data capture by reading changes directly from SQL Server's transaction log, keeping data flowing to your warehouse without disrupting day-to-day operations. What is the binary log reader, and when should you use it? The binary log reader is an incremental update mechanism purpose-built for high-volume, performance-sensitive SQL Server environments that reads transaction logs directly to replicate data to a target system with minimal impact on source performance. This method is designed for environments that require: * Minimal overhead on your SQL Server instance: Your SQL Server is already doing heavy lifting for core applications, and you need to minimize additional CPU and I/O load. * Constant inserts, updates, and deletes: Tables for retail orders, EMR updates, financial transactions, IoT events, and so on are rarely idle, and you need to shrink or eliminate batch windows. * Latency is important for operations: Executives, clinical staff, ML pipelines, and applications expect fresh data immediately. * Ability to scale as needed: Large tables, high write rates, or numerous merge operations won't slow the binary log reader down. If your SQL Server database is already running at capacity, powering time-sensitive business operations, or processing millions of transactions daily, it is challenging to build a data pipeline to replicate these changes downstream to your data warehouse or data lake without interfering with the systems that run on the databases. Another consideration is the cost of these operations, both from a load perspective and from a financial perspective, when processing large data volumes in the cloud. The binary log reader helps users keep costs down and databases up. How it works: reading directly from the transaction log. Data integration with SQL Server commonly uses SQL Server's native change tracking (CT) and change data capture (CDC) mechanisms, both of which write changes to dedicated tables. Fivetran supports both change detection mechanisms. These replication methods are effective for many environments and are fully supported in Fivetran, but sometimes users need something that can meet even more stringent requirements. The SQL Server binary log reader introduces an additional option: it reads committed transactions directly from the SQL Server transaction log using a Fivetran-provided DLL. At a high level, the binary log reader: * Captures changes from the source: The binary log reader uses a Fivetran-provided DLL to read committed transactions directly from SQL Server's transaction log files. Because the log is written as part of SQL Server's normal durability and recovery workflow, Fivetran can observe changes without introducing a heavy query load. * Parse inserts, updates, and deletes: The DLL parses change events from the logs with minimal processing overhead. * Replicate to your destination: Changes are efficiently written to your data warehouse or data lake, maintaining data integrity and order. This log-based approach is the least intrusive replication method because it operates outside the database's query processing engine. Your production workloads remain unaffected, and data continues to flow to your analytics environment. How the binary log reader is changing database replication. In internal testing, it has delivered a throughput of up to 88 MB/s, enabling rapid replication of large, busy SQL Server databases. Unlike query-based approaches that consume significant database resources, log-based replication operates independently, and your database performance remains unaffected due to minimal resource consumption. The upshot is superior performance with minimal impact. Enterprise-grade reliability. The binary log reader includes advanced capabilities designed for production environments: * Automatic fallback: If online transaction logs become unavailable, the binary log reader automatically falls back to backup files, ensuring continuous replication. * Always On Availability Groups (AOAG) support: Seamlessly replicate from high-availability SQL Server configurations * Backup file reading: The binary log reader reads directly from backup files when needed, providing flexibility in how Fivetran accesses transaction data. * Automatic schema migration: Schema changes in your source database are automatically detected and applied to your destination, eliminating manual intervention and preventing pipeline disruptions. Built for complex environments. Whether you're running SQL Server on-premises, in the cloud, or in hybrid configurations, the binary log reader handles the complexity. It supports modern SQL Server architectures while maintaining the simplicity Fivetran is known for - no custom scripting, no manual maintenance. A faster path to real-time SQL Server analytics. With the SQL Server binary log reader, Fivetran, Inc. is giving teams a more efficient way to move mission-critical SQL Server data into modern analytics platforms. Whether you're powering operational dashboards, training models on fresh data, or consolidating enterprise systems, this release ensures you can do it with speed, reliability, and minimal impact on the database that keeps your business running. If you run SQL Server-based applications and need access to data in a data warehouse or data lake, try its binary log reader. Experience the power of the binary log reader for yourself.

Fivetran named a Challenger in the 2025 Gartner(R) Magic Quadrant(TM) for Data Integration Tools. December 11, 2025 Oakland, Calif. - December 11, 2025 - Fivetran, the global leader in data movement, today announced that it has been recognized as a Challenger in the 2025 Gartner(R) Magic Quadrant(TM) for Data Integration Tools. Gartner defines the data integration tools market as platforms that enable organizations to combine data from multiple sources and perform tasks related to data access, transformation, enrichment, and delivery. Fivetran believes this recognition reflects its continued innovation in delivering a unified, secure, and reliable data foundation that integrates movement, transformation, and activation at scale. "Enterprises are consolidating their data stacks and moving toward open, automated platforms that power AI," said George Fraser, CEO of Fivetran. "Fivetran delivers that foundation - integrating all data across systems and clouds, automating every pipeline, and ensuring governance at scale. Our mission is to remove the complexity of data movement so teams can focus on building and innovating." With over 7,700 customers, 740 connectors, and 7,200 terabytes of data moved monthly, Fivetran's scale and reliability position it as a central player in the enterprise data ecosystem. Organizations such as Pfizer, Hippocratic AI, and Steve Madden selected Fivetran to strengthen their data foundations and support their growth. In 2025, Fivetran continued to advance its leadership in automated data integration with key innovations and strategic milestones: * Product and platform innovation: * Expanded support for Fivetran Managed Data Lake Service, including deeper integration with Google Cloud Storage and Microsoft Azure for AI workloads * Improved support for unstructured and semi-structured data across pipelines * Launch of the Connector SDK, giving customers and partners a faster, more flexible way to build custom connectors * Strategic expansion: * Acquisition of Census, adding governed, automated, real-time activation to the platform * Acquisition of Tobiko Data, bringing advanced, multi-engine transformation and open source innovation Gartner, Magic Quadrant for Data Integration Tools, Michele Launi, Nina Showell, Robert Thanaraj, Sharat Menon, 8 December 2025. Gartner and Magic Quadrant are trademarks of Gartner, Inc. and/or its affiliates. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. About Fivetran Fivetran provides the trusted data foundation for the AI era, unifying data movement, transformation, and activation to power analytics and innovation. Leading enterprises around the globe, including OpenAI, LVMH, Pfizer, and Verizon, depend on Fivetran to make data reliable, interoperable, and ready for intelligence across every cloud and system. Learn more at Fivetran.com, and follow Fivetran, Inc. on LinkedIn.

Fivetran named Winner of the 2025 Microsoft Marketplace Partner of the Year Award. November 12, 2025 Recognition highlights Fivetran and Microsoft's collaboration to deliver AI-ready data on Azure; company also honored as a finalist for the Americas SDC Emerging Partner of the Year OAKLAND, Calif., November 12, 2025 - Fivetran, the global leader in data movement, today announced it has been named the Winner of the 2025 Microsoft Marketplace Partner of the Year Award and a Finalist for the 2025 Microsoft Americas SDC (Software Development Company) Emerging Partner of the Year Award. Fivetran was honored among leading Microsoft partners worldwide for its innovation and excellence in delivering customer solutions built on Microsoft technology. "This recognition reflects how Fivetran and Microsoft are helping enterprises modernize their data infrastructure for the AI era," said Logan Welley, Vice President of Global Alliances at Fivetran. "Our customers want data that's secure, governed, and ready for insights, and that's exactly what we deliver together on Microsoft Azure." The Microsoft Partner of the Year Awards celebrate organizations that have developed and delivered outstanding Microsoft Cloud applications, services, devices, and AI innovation over the past year. Honorees were selected from more than 2,100 nominations. Fivetran was recognized for automating data movement on Microsoft Azure, enabling enterprises to centralize data and accelerate AI and analytics initiatives. As a finalist for the Americas SDC Emerging Partner of the Year, Fivetran was also acknowledged for driving innovation and measurable customer impact across the region. Together, Fivetran and Microsoft empower organizations to build scalable, secure, and compliant data foundations that unlock the potential of AI. With over 700 fully managed connectors, Fivetran centralizes data from hundreds of sources into Fabric/OneLake, Azure Data Lake Storage, Azure Synapse Analytics, Azure Databricks, and Snowflake on Azure, ensuring data is always accurate, fresh, and ready for analysis. Trusted by over 7,600 global customers, Fivetran simplifies data integration across hybrid and multi-cloud environments, eliminating the complexity of manual data pipelines so enterprises can focus on deriving insights, not managing infrastructure. "Congratulations to all the winners and finalists of the 2025 Microsoft Partner of the Year Awards," said Gustavo Blum, Vice President, Americas Recruit & Growth Partner Solutions & Sales, Microsoft. "This year, our partners harnessed the transformative power of Microsoft's Cloud and AI platforms to deliver transformative solutions that redefine the boundaries of innovation. The energy and ingenuity across our ecosystem continue to inspire us. The 2025 honorees exemplify what's possible when technology and vision unite to empower customers around the world." The 2025 Microsoft Partner of the Year Awards were announced ahead of Microsoft Ignite, which will be held in San Francisco from November 18 - 21. Additional details on the 2025 awards are available on the Microsoft partner blog. About Fivetran Fivetran provides the trusted data foundation for the AI era, unifying data movement, transformation, and activation to power analytics and innovation. Leading enterprises around the globe, including OpenAI, LVMH, Pfizer, and Verizon, depend on Fivetran to make data reliable, interoperable, and ready for intelligence across every cloud and system. Learn more at Fivetran.com, and follow Fivetran, Inc. on LinkedIn.