Data Replication vs Streaming
What is the primary difference between data replication and data streaming?
Answer: Data replication involves copying data from one database to another to ensure consistency and availability across different locations. This process is typically used for data warehousing, business operations and to off-load reporting. Data streaming, on the other hand, is the continuous transfer of data from a source to a destination in real-time. It is commonly used for real-time analytics, monitoring, and feeding data into Artificial Intelligence applications.
When should I use data replication over data streaming?
Answer: Data replication involves mirroring data from one relational database to another to ensure consistency and availability across different locations and platforms. This process is typically used for data warehousing, business operations and reporting. Data streaming, on the other hand, is the movement of data from a source to a destination but not necessarily by row or transaction. Data replication powers replication from legacy and operational sources.
How do Streaming and Mirroring work together to get the most out of your data?
Answer: The key advantages of these two technologies include:
- Real-Time Processing: Data streaming allows for immediate processing and analysis of data as it arrives, enabling real-time insights and actions.
- Scalability: Streaming systems can handle large volumes of data in real-time, making them suitable for high-throughput applications.
- Flexibility: Data streaming supports a variety of data sources and destinations, allowing for more flexible integration with different systems and applications.
- Lower Latency: Since streaming processes data continuously, it reduces the latency between data generation and data processing, which is critical for time-sensitive applications.
Maybe this is where we can talk about what you shared in your email?
By understanding the differences and advantages of replication and streaming, you can make more informed decisions about which approach best suits your specific needs. For more information, visit Stelo's Data Solutions.
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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.
Support Features
Accessible Support
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.
End-to-End Proficiency
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.
Constant Evolution
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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