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IBM is a well-established entity focused on technology and development. The primary mission revolves around fostering technological growth and enhancing infrastructure, achieved through focused developments and consulting services. By encouraging inventiveness and innovation, it is geared towards facilitating the transition of theoretical ideas into practical realities, thus improving global functionalities. IBM brings about transformation by creating advanced solutions that reshape and redefine the world.
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The thing I like the most is that Databand had intuitive and useful dashboards to look at. The dashboards looked really good and worked really well, better than many other dashboards that I've seen.
Some of the strengths of Streamsets are as below Strong CDC ingestion capability - Streamsets is good in ingesting CDC data from Guidewire systems to Lakehouse. Connectors across multiple databases - Streamsets can connect to multiple database and easily ingest the data without writing extensive code. Easy to adopt - Streamsets is easy to understand and learn for new development.
The most liked about the product is that it helps in minimal code writing but effective data pipeline building with its UI snaps. It supports multiple sources and destinations which makes data ingestion easy.
The thing I disliked most is that it often gave me false positive notifications when I drilled its pipeline down thoroughly. I never expect this from software, but I am alsways surprised when it happens.
Some of the weaknesses of Streamsets are as below Operational instability - the platform had issues with lag and dropped records with large scale workloads. Weak error handling - Limited options of error handling caused difficulty in debugging the issues. Customization issues - The platform cannot be customized easily with the upgrades causing difficulty with integration with other systems.
What I dislike about IBM StreamSets is that some pipeline transformation logic requires writing Groovy scripts, and for data engineers not familiar with the scripting language, it takes extra time to build and debug the logic.