Transactional databases rely on data mirroring to populate data warehouses or to off-load reporting, but this is not always appropriate for no-SQL environments like Google Big Query where it is crucial to stream large amounts of data quickly and reliably, for data warehouses, machine learning (ML) and real-time analytics. With MERGE SQL functionality, compressed change data can be delivered using micro-batches, which reduces latency and exploits Relational Database Management System (RDBMS) optimizations like column-store indexing.
Stelo is designed to complement current data management infrastructure by skillfully mirroring and streaming data into both relational and No-SQL environments without any complex programing. For No-SQL destinations, data streaming doesn’t require additional licensing add-ons. Stelo includes this capability for all deployments because design for scalability is one of the best ways to futureproof data management systems.
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.
Low Impact
Near-Zero Footprint
Our process provides ultra-low CPU load (less than 1% typical) to minimize production impact and avoid operational disruption. No source or destination software installation required. Only transfer data you need thanks to Dataset Partitioning.
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.
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.
Data is much more alive and dynamic than ever before. It’s not just information: It’s action. Data feeds machine learning (ML) and artificial intelligence (AI) algorithms, connects workflows, and provides meaningful insights. The “new frontier” of data ingestion goes beyond warehousing to enable a lot more choice. Opting for an open-standard system, in which data is independent from the software used to analyze it, allows companies to leverage a range of different tools while maintaining high performance.
Futureproofing Your Data Management Strategy with NoSQL and Data Streaming
How Stelo V6.3 Helps You Master Data Integration
Sunsetting: What to Do When Your Data Replication Tool is No Longer Supported
Unboxing Stelo V6.1: MERGE Support
