Stream data from Oracle Database to Snowflake
Move data from Oracle Database to Snowflake in minutes using Estuary. Stream, batch, or continuously sync data with control over latency from sub-second to batch.
- No credit card required
- 30-day free trial
- 200+Of connectors
- 5500+Active users
- <100msEnd-to-end latency
- 7+GB/secSingle dataflow
How to integrate Oracle Database with Snowflake in 3 simple steps
Connect Oracle Database as your data source
Set up a source connector for Oracle Database in minutes. Estuary supports streaming (including CDC where available) and batch data capture through events, incremental syncs, or snapshots — without custom pipelines, agents, or manual configuration.
Configure Snowflake as your destination connector
Estuary supports intelligent schema handling, with schema inference and evolution tools that help align source and destination structures over time. It supports both batch and streaming data movement, reliably delivering data to Snowflake.
Deploy and Monitor Your End-to-End Data Pipeline
Launch your pipeline and monitor it from a single UI. Estuary guarantees exactly-once delivery, handles backfills and replays, and scales with your data — without engineering overhead.
Oracle Database connector details
Estuary’s Oracle Database connector captures inserts, updates, and deletes from Oracle databases using Oracle LogMiner. It performs an initial backfill of selected tables and then continues streaming incremental changes based on Oracle SCNs, turning Oracle data into real-time Estuary collections for analytics, replication, and CDC pipelines.
- Capture real-time CDC events from Oracle Database 11g and above using Oracle LogMiner.
- Run an initial backfill of selected Oracle tables, then continue with incremental SCN-based change capture.
- Support non-container Oracle databases and CDB/PDB deployments when root-container access is available.
- Discover tables from selected Oracle schemas and capture them into Estuary collections.
- Use a dedicated database user with table-read access, catalog permissions, LogMiner access, and access to a watermarks table.
- Enable supplemental logging so Oracle records the row-level change data needed for CDC.
- Choose LogMiner dictionary mode based on your workload: extract for better schema-change handling, or online for lower resource usage when schemas are stable.
- Connect to private or cloud-hosted Oracle databases using SSH tunneling, Private deployments, or BYOC networking.
- Tune backfill size, incremental chunk size, and SCN range for high-volume Oracle workloads.
- Note that Oracle LogMiner does not support table or column names longer than 30 characters.
Snowflake connector details
Designed for high-performance analytics, the Estuary Snowflake connector materializes Estuary collections into Snowflake tables in real time. It supports both standard and delta updates, with Snowpipe Streaming enabling the lowest-latency ingestion directly into Snowflake. Data is first written to a Snowflake stage and then applied transactionally, ensuring consistency and efficiency. Authentication uses key-pair (JWT), with support for secure SSL connections and sync scheduling to optimize warehouse usage and cost.
- Real-time data materialization into Snowflake tables
- Supports Snowpipe Streaming for low-latency delta updates
- JWT key-pair authentication (required from 2025 onward)
- Optimized performance and cost through sync scheduling
- Secure integration with SSL and warehouse auto-suspend
See how Coltene uses Snowflake
Estuary in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary does the rest.
Success stories
Spend 2-5x less
Estuary customers not only do 4x more. They also spend 2-5x less on ETL and ELT. Estuary's unique ability to mix and match streaming and batch loading has also helped customers save as much as 40% on data warehouse compute costs.
Oracle Database to Snowflake pricing estimate
Estimated monthly cost to move 800 GB from Oracle Database to Snowflake is approximately $1,000.
Data moved
Choose how much data you want to move from Oracle Database to Snowflake each month.
GB
Choose number of sources and destinations.
Why pay more?
Move the same data for a fraction of the cost.
What customers are saying
Estuary is the only system we’ve found that can seamlessly replicate large scale Firestore data for analytics. After months of research and trying everything, we can confidently say that Estuary is the only company that can help us get easy, accurate analytics on our data within Snowflake when replicating from Firestore data.
![Together AI avatar]()
![Together AI avatar]()
For AI systems like ours, freshness of data is everything. Estuary gives us sub-second latency without the complexity of maintaining streaming infrastructure ourselves. That reliability means our teams can focus on advancing AI models instead of pipelines.
![Glossier avatar]()
![Glossier avatar]()
Estuary enabled us to finally implement our ERP’s new data endpoint with all our inventory transactions, purchasing, and shipping data. We can now unlock data blocked by cost before, and sync times are much faster and are always being improved by the Estuary team.
Read the Success Story![Xometry avatar]()
![Xometry avatar]()
“Estuary has been a pleasure to work with and has significantly modernized our data infrastructure, delivering real-time and scalable processes that will significantly impact company-wide operations. Every data-driven organization should be looking at Estuary today.”
Read the Success Story![Cosuno avatar]()
![Cosuno avatar]()
Estuary just works. We’ve never had an incident, and it cut our data movement costs in half.
Read the Success Story![Shippit avatar]()
We didn’t want to be locked into a system where faster syncs meant higher bills. Estuary gives us real-time pipelines without pricing games or the burden of running Kafka ourselves.
Read the Success Story
Getting started with Estuary
Free account
Getting started with Estuary is simple. Sign up for a free account.
Sign upDocs
Make sure you read through the documentation, especially the get started section.
Learn moreCommunity
Join the Slack community for the easiest way to get support while getting started.
Join Slack CommunityEstuary 101
Watch the Estuary 101 webinar for a guided introduction to using Estuary.
Watch
Frequently Asked Questions
Is this integration suitable for production workloads?
Yes. Estuary pipelines are designed for production use, with exactly-once delivery semantics, automated backfills, and continuous operation at scale.
Can I control where my data runs and is processed?
Yes. Estuary offers multiple deployment options, including fully managed SaaS, private deployments, and bring-your-own-cloud (BYOC). This allows teams to control where their data plane runs and meet security, compliance, and networking requirements. Learn more about Estuary's security and deployment options.
Can I build this Oracle Database to Snowflake integration manually?
Yes, it's possible to build a manual pipeline using custom scripts, scheduled jobs, or open-source tools. However, manual approaches typically require ongoing maintenance, custom error handling, schema management, and operational overhead. Estuary simplifies this by providing a managed pipeline with built-in reliability, scaling, and monitoring.
Related articles
![oracle to snowflake migration]()
oracleOracle to Snowflake Migration Guide: Tools, Steps & Challenges
![Migrate Data from Oracle to Amazon RDS for PostgreSQL]()
oracleOracle to Amazon RDS for PostgreSQL Migration Guide: Steps, Tools, Challenges
![Oracle to Amazon Aurora postgresql migration]()
oracleHow to Migrate from Oracle to Amazon Aurora PostgreSQL
![Oracle to DynamoDB Migration]()
oracleOracle to DynamoDB Migration Guide: Real-Time CDC with Estuary
![Transfer data from Oracle to Postgres with Estuary]()
oracleModernizing Enterprise Databases: Migrating from Oracle to PostgreSQL in the Cloud
![SharePoint to Snowflake Integration]()
snowflakeSharePoint to Snowflake: 3 Practical Ways to Load Data
Related integrations with Oracle Database
DataOps made simple
Add advanced capabilities like schema inference and evolution with a few clicks. Or automate your data pipeline and integrate into your existing DataOps using Estuary's rich CLI.
