ETL vs. ESB from Apatar’s Point of View
A few months ago, prior to the release of the Apatar Community Preview, Matt Asay asked me via email whether Apatar competes with ESB products, specifically with MuleSource and ServiceMix. After I responded to Matt by email, I thought about posting my response to a blog, and Matt said, “Go ahead.” In fact, two people asked me a similar question during the MySQL User Conference, which reminded me about the email that I’m posting below.
ETL is geared toward data movement, typically in batch modes across the enterprise. It is “pull” technology and works on user’s demand or on schedule.
ESB is a “push” technology, sending messages when they occur.
|ETL is a “pull” technology, works on demand/on schedule.||ESB is a “push” technology.|
|ETL cannot time-out, decay, or issue transactions to front-office applications during transformation processes.||ESB is capable of timing and decaying data in queues, escalating information content to the right decision-maker on that piece of content.|
|ETL is fully scalable, capable of loading massive batches of data in parallel.||ESB is not suitable for massive volumes of data because of its service bus architecture (by network, and source system speed to X transactions per second).|
|ETL can hook to ESB/EAI middleware as just another feed, if desired.||ESB’s primary job is to integrate applications, opposed to Data Migration, Replication, Data Warehousing, and BI.|
|Feature ||ETL ||EAI ||EII |
|Timing||Batch snapshots||Real time||Real time|
|Unit of work||Set of transactions committed within an ETL cycle interval||Single business transaction||Single business transaction|
|Persistent Auxiliary Tables||Yes||No. Transactions applied directly to applications’ tables||No. Virtual database|
|Application||Managerial reporting, trend analysis, multi-dimensional aggregation||Near real time synchronization of operational data where transaction commitment is dependent on state of related transactions||Near real time decision making based on most current information in operational systems. No update.|
|What it’s not||Not source of record. Does not support transaction processing||Not appropriate for ad-hoc analysis and reporting||Not a virtual data warehouse|
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