As businesses move away from on-premise infrastructure and adopt modern, cloud-first architectures, the need for flexible, reliable data movement across the Google Cloud Platform becomes critical. Whether you're powering real-time analytics in BigQuery, feeding AI models, or centralizing business applications, Stelo makes it simple to stream operational data directly into your GCP environment—no code, no middleware, no disruption to source systems.
Stelo is a Google Cloud Ready – BigQuery validated solution, purpose-built for seamless integration with Google Cloud services. Deploy in under 15 minutes from the Google Cloud Marketplace, and begin streaming data with automated change data capture (CDC) from on-prem databases like IBM Db2, Oracle, or SQL Server directly into BigQuery. Stelo keeps your pipelines fast, secure, and always in sync—so your data is ready for downstream use across GCP.
Transferring data across wide area networks (WANs) can introduce high latency, but Stelo is optimized for cloud performance. Its tunable architecture is designed to maximize throughput across WAN and LAN environments, enabling replication of millions of transactions per hour and transfer of datasets over 1TB. With Stelo, organizations can fully leverage Google Cloud’s scalable infrastructure, AI/ML services, and powerful analytics stack—while maintaining the speed, reliability, and control modern data teams demand.
Customizable
Anywhere-to-Anywhere
Avoid vendor lock-in. Stelo uses heterogeneous replication for bi-directional support across all source and destination types. Our open-standards approach allows us to remain vendor-agnostic while providing highly flexible deployment models.
Quick Setup
Rapid Deployment
Streamline your deployment plan without costly delays. Stelo typically deploys in less than a day and cuts production time down from months to only weeks.
Easy-to-Use
Set It and Forget It
Simple installation with GUI interface, configuration wizard, and advanced tools makes product setup and operation straightforward, with no programming needed. Once running, Stelo reliably operates in the background without requiring dedicated engineering support to maintain and manage. Alter, add, and drop schema changes are replicated automatically.
Cost-Efficient
Unlimited Connections
A single instance can support multiple sources and destinations without additional licensing. The Stelo license model is independent of the number of cores to either the source or destination, so you only pay for the capacity required to support the transaction volume. Your data ecosystem can change over time without additional costs.
Low Latency
Multi-Threaded Processing
Stelo leverages native data loading functions, and exploits multithreaded processing to provide fast, reliable performance for replicating multiple tables concurrently.
Reliable
Automatic Recovery
If a connection is broken, no data is lost. Stelo will automatically resume replication without needing to re-baseline in the event of a connectivity failure.
The “new frontier” of data ingestion goes beyond warehousing to enable a lot more choice. Some companies prefer to stream data into cloud-based delta lakes while maintaining their existing data warehouse; that way, they can take advantage of new technologies from companies like Synapse while maintaining their existing applications. Others would prefer to get rid of their in-house data centers all together.
Stelo encourages customers to make improvements by integrating technologies that allow them to use their data better. We bring the robustness and power our customers have come to expect from data warehousing to delta lakes, too. Advancing data management strategy is not about displacing current software and hardware investments; it’s about making it easier to leverage new technologies that can unlock your data’s embedded potential.
Now Available on Azure Marketplace: Deploy Stelo in Minutes
Introducing Stelo v6.51: Simplifying Data Pipelines with a Modern Web-Based Interface
Stelo Achieves BigQuery Designation, Unlocking Legacy Data for Enterprise Cloud Analytics
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