dbt vs. TIBCO Messaging

The prerequisite is that you have a supported database/data warehouse and have already found a way to ingest your raw data. Then dbt is very well suited to manage your transformation logic if the people using it are familiar with SQL. If you want to benefit from bringing engineering practices to data, dbt is a great fit. It can bring CI/CD practices, version control, automated testing, documentation generation, etc. It is not so well suited if the people managing the transformation logic do not like to code (in SQL) but prefer graphical user interfaces.

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Organization which uses TIBCO Business Works or TIBCO Business Process Management or TIBCO BPM Enterprise can make use of TIBCO Messaging as it works well with other TIBCO tools. Many TIBCO tools have TIBCO Messaging products bundled as a package along with other TIBCO tools. Use of dynamic topics and queues makes run time processing easier.

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• dbt supports version control through GIT, this allows teams to collaborate and track the data transformation logic.
• dbt allows us to build data models which helps to break complex transformation logic into simple and smaller logic.
• dbt is completely based on SQL which allows data analyst and data engineers to build the transformation logic.
• dbt can be easily integrated with snowflake.

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• Tibco EMS performs very well, and it meets our stringent performance requirements for corporate messaging backbone.
• Tibco EMS scales well, and this is another of our stringent requirements.
• Tibco provides good support for the EMS product, and continues to improve it. This is important as we don't want to use something that does not keep up with the changes in the technology landscape.

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• Field-level lineage (currently at table level)
• Documentation inheritance - if a field is documented the downstream field of the same name could inherit the doc info
• Adding python model support (in beta now)

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• In terms of TIBCO Messaging, it would nice to have a more out-of-the-box way of linking its objects (queues, topics) directly to those of other popular solutions like MQ or Kafka.
• Not being able to filter (that is, using selectors) through patterns/subtexts on the message body is missed on occasions.
• Given the current trends and state-of-art, lift & shift of on-premise EMS clusters to cloud architectures should be more directly attainable.

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EMS is a solid system and I see no reason to abandon it, in fact I am eager to see what the next versions will offer and future road maps. Knowing we have support to help us in case of problems is invaluable, both in case of critical issues and to improve overall performance.

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dbt is very easy to use. Basically if you can write SQL, you will be able to use dbt to get what you need done. Of course more advanced users with more technical skills can do more things.

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I actually don't know what the alternative to dbt is. I'm sure one must exist other than more 'roll your own' options like Apache Airflow, say, bu tin terms of super easy managed/cloud data transforms, dbt really does seem to be THE tool to use. It's $50/month per dev, BUT there's a FREE version for 1 dev seat with no read-only access for anyone else, so you can always start with that and then buy yourself a seat later.

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We also use other messaging products: IBM MQ, especially for integration with other systems (server2server), which has been an industry standard for a long time, and Apache Kafka for cloud-native applications. EMS is a worse option compared to them, but it is still acceptable.

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• Simplified our BI layer for faster load times
• Increased the quality of data reaching our end users
• Makes complex transformations manageable

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• Improved developer productivity as TIBCO Enterprise Message Service requires minimal coding
• Quicker time to market as the configuration / onboarding can be automated with this tool
• Ability to onboard more clients/consumers as the tool can handle large volumes seamless
• Improved visibility on the end to end process as the product provides monitoring by using JMS header information