Stelo's Databricks support is compatible across your technology stack to efficiently mirror and stream data in tandem without additional licensing or complex programing. Stelo integrates seamlessly with Databricks, leveraging its powerful processing capabilities while simplifying the management of data pipelines through automation and tuning features. Stelo is designed to handle large volumes of data efficiently, making it scalable to meet the demands of big data environments. This not only helps maintain data quality and consistency but also contributes to cost efficiency by reducing the need for manual intervention and optimizing resource use. Stelo Data Replicator enhances the efficiency, reliability, and scalability of data replication tasks in Databricks, allowing users to focus on analyzing and deriving insights from your data rather than troubleshooting data pipelines.
Stelo supports most source database products on the market, so customers requiring high-speed access to legacy system change data for driving information into new-generation data engines, such as Databricks, will find their requirements well-met by Stelo’s real-time replication.
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.
Penn Foster is an educational institution whose mission is to help students gain the knowledge and skills they need to advance in their field or start a new career. With growing enrollment, the institution decided it was time to transition from a traditional, relational data management solution to a cloud-based, big data solution that works for both their current structured data and their anticipated unstructured data.
After all files were initially dropped into Microsoft Azure Data Lake Storage (ADLS), it became clear that the coding of individual files downstream would be a strain on their resources. In anticipation of their future needs, Stelo offered a pre-release deployment of Stelo V6.1, allowing Penn Foster to leverage the software’s new delta lakes support functionality.
This functionality allowed Penn Foster to:
- Prove their cloud-based architecture at scale
- Combine technologies for faster access, faster updates, and improved reliability
- Minimize the hands-on effort required to transfer and access data
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
