Likelihood to Recommend Evidently, CData Sync is an excellent middleware tool that is perfect for syncing data between systems. It is especially suitable and works well on SQL servers, DB2, MySQL, and Snowflake, and some of their brothering domains. However, it is a limitation in working with Sage 50 API. But if it is extracted with ODBC, it works well.
Read full review If you can load your data first into your warehouse, dbt is excellent. It does the T(ransformation) part of ELT brilliantly but does not do the E(xtract) or L(oad) part. If you know SQL or your development team knows SQL, it's a framework and extension around that. So, it's easy to learn and easy to hire people with that technical skill (as opposed to specific Informatica,
SnapLogic , etc. experience). dbt uses plain text files and integrates with GitHub. You can easily see the changes made between versions. In GUI-based UIs it was always hard to tell what someone had changed. Each "model" is essentially a "SELECT" statement. You never need to do a "CREATE TABLE" or "CREATE VIEW" - it's all done for you, leaving you to work on the business logic. Instead of saying "FROM specific_db.schema.table" you indicate "FROM ref('my_other_model')". It creates an internal dependency diagram you can view in a DAG. When you deploy, the dependencies work like magic in your various environments. They also have great documentation, an active slack community, training, and support. I like the enhancements they have been making and I believe they are headed in a good direction.
Read full review Pros Effortless use of no-code interfaces on data pipelining on. High demand numbers of sources and destinations. Works with even snowflake, with no error occurrence. It uses ETL - (Extract / Transfer / Load). It enhances data extraction and database support. Read full review user experience makes it easy to work with SQL and version control customer success team and the dbt (data build tool) community help establish best practices thorough and clear documentation Read full review Cons Although efficient for SQL servers and MySQL, as well as Snowflake. It is not strong for other database engines, and an upgrade on this would do a lot. The installation process is manual as opposed to the cloud installation it should be. A feature of syncing auto increment ID key, that will help in existing data management. Read full review Slow load times of the dbt cloud environment (they're working on it via a new UI though) More out-of-the-box solutions for managing procedures, functions, etc would be nice to have, but honestly, it's pretty easy to figure out how to adapt dbt macros Read full review Alternatives Considered Tableau is another similar software tool, unlike CData Sync, rather transforms data into actionable insights. While CData Sync works with automation,
Tableau uses a drag box on its AVA, which in turn slows the work speed on the syncing of data. Over the years, I enjoyed the friendly and customizable option of CData Sync over
Tableau 's.
Read full review Most ETL pipeline products have a T layer, but dbt just does it better. The transformation is on steroids compared to the others. Also, just allows much more Adhoc solutions for very specific projects. Those ETL tools are probably better on the T part if you don't need too many transforms - also dbt is pretty much free dependent on how you work it, also extremely scalable.
Read full review Return on Investment Reserves resources by covering human power via its automated sync method. Saves time: on launching data collectively into a compatible domain. Read full review Simplified our BI layer for faster load times Increased the quality of data reaching our end users Makes complex transformations manageable Read full review ScreenShots