Oracle to Snowflake Replication, Now in HexaRocket

We are proud to announce that Oracle to Snowflake migration and replication is now available in HexaRocket, our end-to-end database migration and replication platform. With this release, you can easily move data and stream changes from Oracle into Snowflake in two modes - log-based Oracle CDC (transaction-log change data capture), and batch-based ETL - so your analytical workloads run on Snowflake while your systems of record keep running on Oracle. This is the same proven database replication engine, branded as HexaReplicate, that already powers heterogeneous replication across PostgreSQL, Yugabyte, MariaDB, and Oracle itself.

HexaRocket supports a broad set of source databases - Oracle, SQL Server, MySQL, MariaDB, Sybase ASE, IBM DB2, and PostgreSQL - and an equally broad set of targets: Oracle, SQL Server, PostgreSQL, MariaDB, Yugabyte (distributed PostgreSQL), BigQuery, and now Snowflake. Behind that breadth is a deliberate engineering investment we have made over several years, and the Oracle-to-Snowflake path is the latest milestone in that journey.

The Foundation: A Transpiler Built for 100% Deterministic Schema Conversion

To support automatic, near-100% deterministic heterogeneous schema conversion, we built our own transpiler. It performs nearly fully automatic schema conversion from commercial databases - Oracle, SQL Server, DB2, and Sybase ASE - to PostgreSQL, at the grammar level rather than through brittle regular expressions.

Schema conversion is only half the problem, though. Moving the data - and keeping it moving in real time - required something just as deliberate.

Why We Built Our Own Connectors

As part of this functionality, we had to build our own custom source connectors for Oracle, SQL Server, MySQL, MariaDB, and Sybase to capture and replicate change events from these databases to the target. Heterogeneous replication into targets like PostgreSQL, Yugabyte, and MariaDB is not a simple pipe: data types and behavioral characteristics differ between source and target, so a variety of data transformations have to happen in flight. Numeric precision, date/time semantics, LOB handling, character-set differences, and NULL/empty-string conventions all have to be reconciled correctly and deterministically - otherwise replication silently corrupts the very analytics it is meant to feed.

Owning the connector and the transformation layer end to end is what lets us guarantee correctness across these heterogeneous paths, and validate it.

The Journey to Here

We were proud to first create the Oracle to PostgreSQL and SQL Server to PostgreSQL migration and live replication engines - and, to support safe rollback, even the PostgreSQL to Oracle reverse-replication path.

From there, our customers led the way:

• Customers asked for MariaDB as a target, and we added it. Many thanks to MariaDB for welcoming us into their partner ecosystem.
• Customers asked for YugabyteDB as a target for Oracle workloads, and we extended support for that too. Many thanks to Yugabyte for partnering with us in modernizing Oracle and SQL Server workloads onto distributed PostgreSQL.
• Then came requests to replace Oracle GoldenGate for Oracle-to-Oracle workloads. We proudly enabled Oracle → Oracle data load and replication, in addition to the PostgreSQL and MariaDB targets already supported - at a fraction of the cost of Oracle GoldenGate.

Each target was a direct response to a real customer need. Snowflake is the next chapter.

What Oracle to Snowflake Migration and Replication Unlocks

Many thanks to Snowflake and its customers, who are looking to leverage Oracle to Snowflake migration and replication for their analytical workloads. With this release, HexaRocket users can run:

• Full data migration (Initial Load) - high-speed bulk data transfer from source to target, with parallel processing and validation to minimize migration windows.
• Transaction log-based replication (Oracle CDC) - continuous, low-latency change data capture from Oracle redo into Snowflake, keeping your analytical copy current without hammering the source.
• Batch-based replication (ETL mode) - scheduled bulk loads into Snowflake when near-real-time latency isn't required and throughput or cost efficiency matters more.

The result: your transactional system of record stays on Oracle, while a continuously refreshed analytical copy lives in Snowflake - no hand-built pipelines, and no Oracle GoldenGate licensing bill to power it.

What's Next

We are not stopping at Oracle.

• ClickHouse as a target for Oracle workloads is next on the roadmap - analytical migration and replication into ClickHouse for teams standardizing on it for real-time analytics. Please wait and watch.
• In the coming weeks, we are also adding SQL Server to Snowflake and SQL Server to ClickHouse migration and replication, bringing the same CDC-and-batch flexibility to SQL Server source environments.

See It in Action

Want to see Oracle to Snowflake data migration and replication running end to end? Contact Us for a live demo of HexaRocket! Our team will showcase HexaRocket's UI-driven data load, log-based Oracle CDC and the batch ETL modes.

If you need expert support migrating legacy or complex databases across Oracle, SQL Server, MySQL, MariaDB, DB2, Snowflake, or, PostgreSQL, we’re here to help.

HexaCluster provides end-to-end migration and modernization services, including application migration and modernization, database migration, and PostgreSQL consulting such as performance tuning, health audits, managed DBA services, and 24/7/365 support.

To start a conversation or explore how we can support your migration journey, please contact us at connect@hexacluster.ai

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