Arcion Accelerates Next Generation of AI With New Product Capabilities, Customers, Partnerships and Funding

The enterprise AI adoption wave is driving forward momentum for Arcion, the only real-time, in-memory change data capture (CDC) solution. Arcion replicates enterprise databases using log-based change data capture in real time into cloud lakehouses and data warehouses to power the next generation of AI applications.

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“Arcion’s solution integrated directly with Databricks’ Unity Catalog, had single-digit minutes of latency during peak database load, and was able to process more than 30,000 operations per second with room to grow”

News highlights include:

• New connectors to extract data in real time from cloud warehouses.
• Rapidly growing enterprise adoption of Arcion to serve real-time AI applications.
• New partnerships with Confluent and Redis to further democratize data mobility.
• New funding from Hewlett Packard Enterprise to fuel further development.

“The resulting forward momentum is incredible,” said Arcion CEO Gary Hagmueller. “These latest strides further position Arcion as the unrivaled leader in real-time, large-scale CDC data pipeline technology for the enterprise AI era and beyond, setting up the company for unprecedented growth and development well into the foreseeable future.”

New Product Capabilities

Arcion continues to innovate in its journey to power the next generation of AI and analytics applications with real-time enterprise data from online transaction processing (OLTP) databases like Oracle, SQL Server, DB2, Sybase, MySQL, and Postgres. Arcion’s new connectors for Oracle and MySQL offer 10x more throughput, effectively utilizing the underneath scalable architecture.

Enterprises have started embracing Snowflake to store and manage operational data, and Arcion is proud to announce a first-of-its-kind native connector for Snowflake. Using Arcion’s new Snowflake connector, enterprises can seamlessly replicate data stored in Snowflake to any platform. This is especially exciting to firms that are beginning to use such data to feed the vector databases and large language models (LLMs) that power their customized AI initiatives. Arcion also added online schema change support for all its OLTP connectors, ensuring no pipeline downtime if database schemas are changed.

To deliver real-time pipeline experience for big data, Arcion has made monumental improvements to its Snowflake and Databricks target connectors. The enhancements are taking data pipeline performance to the next level and allowing customers to achieve extreme per-table throughput. Arcion users reported that it now processes more than 30,000 operations per second with room to grow, with single digit minutes of latency during peak database load.

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Expanded Customer Base

As a result of its impressive performance and industry-changing innovation, Arcion is expanding its customer base beyond its projections. For new customer Chegg, the efficiency and reliability Arcion offers for ingesting data from transactional sources into the company’s lakehouse is proving vital for their analytics, data science requirements, and AI initiatives.

“Arcion’s in-memory log-based CDC combines low-latency transactional data with click-stream data, greatly benefiting our business and data customers,” concurred Chegg Director of Engineering Gopinath Rangappa and Senior Manager of Data Engineering Madhuri Prathikantam. “Arcion now plays an important part in our next-gen data platform to ingest near real-time relational data into the Databricks lakehouse and build streaming data analytics pipelines.”

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