Real-time replication has transformed data loads but needs clearer logs and better documentationStriim offers strong capabilities for real-time database replication. Its core strength is low latency, log-based change data capture, which continuously moves the data without putting heavy load on the source systems. It works especially well in Oracle environments and supports more than 150 sources and targets, including Snowflake, Databricks, and Microsoft Fabric, which is hot in the market right now. It handles the initial load and the ongoing CDC in one platform so we do not have to stitch together Kafka or similar processes ourselves. It offers high availability clustering with failovers and can run self-hosted or fully managed on cloud services. The user interface is pretty good and self-explanatory, so there is no issue if a user lands in the application; they do not have to think more. It is self-explanatory, with all the navigation panes clear. However, the only thing is the searchability; if a user has to search which table belongs to which CDC application connection set up on Striim, it is quite extensive and not fruitful from a user interface point of view. Performance-wise, it is quite good; the queues are long, but as I mentioned earlier, the logs are not that self-explanatory that one can understand what exactly is going on behind the scenes.
