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Cloud-native POS platform for seamless omnichannel customer experience.
A single hub for all promotions campaigns.
The most advanced synchronization solution for databases and file systems.
Data configuration and batch automation across different disparate systems and vendors.
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Cloud-native POS platform for seamless omnichannel customer experience.
A single hub for all promotions campaigns.
The most advanced synchronization solution for databases and file systems.
Data configuration and batch automation across different disparate systems and vendors.
Streaming ETL is the movement and processing of data from source systems to target systems in real-time as changes occur. ETL is an acronym for the common phases used during data movement:
With streaming ETL, small groups of changes are processed on demand. The advantages are that data becomes immediately available, it is processed with fewer resources, and it improves overall system uptime. Instead of a single large extraction, data arrives in a continuous stream to be processed. These bursts of data are quicker to process throughout the day without impacting interactive users of the source systems. If any error occurs, it can be handled immediately by IT staff during normal working hours, giving them a larger window of time for support. The disadvantage of streaming ETL is the increased complexity, which can be overcome with a dependable data integration platform.
Traditional ETL uses batch processing to collect a large amount of data in a single scheduled run. It is common to completely refresh all data with a “kill and fill” operation. The jobs are usually scheduled for overnight, when systems are less busy and the heavy processing will not slow down interactive users. The advantage of ETL jobs is that batch processing is well understood and easy to implement. Disadvantages are delayed access to data and supporting any errors in the middle of the night.
Streaming ETL should be used in cases that have the biggest impact to business, such as the following areas:
Streaming ETL is growing in popularity for offering new kinds of services and solving business cases that serve customers better. As new solutions are built, and old ones are updated, IT departments are relying on streaming ETL to process data and events as they occur. The advantage is service offerings that outperform competitors and provide real-time insights into how customers are behaving.
Remove the obstacles to real-time data pipelines by leveraging a streaming ETL platform like SymmetricDS. Easily integrate data using continuous change data capture, so you can focus on your application and analytics. SymmetricDS is a cross-platform solution that can sync any database to any database, including non-relational and streaming platforms like Kafka, Elasticsearch, and Snowflake. It’s easy to set up replication and scale to thousands of databases using a powerful web console to design the integrations.