Stelo + Google Cloud
Businesses require more flexibility as they continue transitioning away from maintaining on-premise data centers to adopting more complex data system ecosystems. You need reliable data ingestion and streaming for applications like data analytics, storage, or AI and machine learning. Stelo connects all source and destination types for every use case, so you can easily offload on-premise data or deploy entirely in the cloud.
Moving data across a wide area network (WAN) is inherently associated with higher information delay due to limitations on how fast data can transmit across a network. Stelo compensates for the inherent high latency of WANs, providing a seamless data ingestion experience. Our deployment process is designed to maximize performance for both WAN and LAN connections. Easily replicate millions of transactions per hour and transfer data sets over 1TB. No matter the use case, Stelo deployments are readily customizable with a focus on robust performance.
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.
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.
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.
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.
Stelo leverages native data loading functions, and exploits multithreaded processing to provide fast, reliable performance for replicating multiple tables concurrently.
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.
Data Warehousing: It's Time to Evolve Your Data Management Strategy
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.
Stelo can handle large-scale data transfers replication with sub-second latency. A single instance can support multiple sources and destinations without additional licensing. The Stelo model is independent of the number of cores of either the source or destination—so you only pay for the capacity required to support the transaction connections. This cost-efficient method merges source data flows into one stream, and then is applied to any number of subscribing destinations. Stelo delivers enterprise-level performance without enterprise-level cost.
Yes. Whether you want to deploy either entirely in the cloud or used between on-prem and cloud databases, Stelo’s deployment models are designed to maximize performance without sacrificing flexibility.
Cloud technologies enable 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 center all together.
Stelo encourages customers to make improvements by integrating technologies that allow them to use their data better. 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.
Once replication source and destination databases have been defined, Stelo uses change data capture techniques to capture and apply only change data. Our multithreaded processing is far more efficient than other replication tools on the market, not only to provide near real-time data availability, but also best in terms of reliability and robustness. Stelo’s custom technology blurs the overhead of the WAN connection and effectively delivers near real-time (under 1 second) replication, regardless of whether it's going into cloud or on-premise locations. If your use-case requires sub-second latency at all times, we will size the replication instance according to your high-water mark of DML activity to ensure near real-time data availability.
Yes, Stelo has an automatic method to build out data warehouses, so we can do the heavy lifting for you. It works well whether you're doing a migration up to the cloud or are continuing with ongoing replication.
We encourage you to configure Stelo to create the destination tables on the SQL Server. In part this is to ensure the proper mapping of change data captured on the source system and the destination table. Also, if the Customer's High Availability (HA) software utilizes *AFTER images only for capturing change data, then Stelo must rely upon a synthetic column (the Relative Record Number or "RRN") to uniquely identify the row in the destination table, and it is unlikely that some tools such as the JDE tool would provide this column. Therefore, it is best to allow Stelo to create the destination, including this column for each table. Alternatively, if the HA software configures *BOTH images in the journals then we can dispense with the RRN column and just utilize any unique index (including a primary key) to identify rows.
Another issue that should be addressed in the planning stage is the use of Unicode data types on the destination SQL Server. We strongly encourage customers to use NCHAR/NVARCHAR data types for SQL Server as this provides the greatest fidelity when mapping data from IBM i EBCDIC to Windows and other non-EBCDIC environments.
Our recommendation is to allow Stelo to create the tables and exploit UNICODE data-types, and then use the tool to create any additional indexes.
Quick support is available for training, troubleshooting, version updates, and data replication architecture. 24/7 Urgent Incident Support is included in annual subscriptions.
Highly Experienced Team
Stelo’s technologists have more than 30 years' experience developing reliable data software. Whether you need basic support or have a tricky technical challenge, we can work with you to solve any problem.
Our team has detailed knowledge of every data platform we support and can troubleshoot end-to-end replication pairing in heterogeneous environments to ensure the pairings are working properly.
Unlike some other solutions, Stelo won't go out of date. New source and target types are continuously added through active updates to stay compatible with emerging market requirements.
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