StreamSets DataOps Platform vs. Tealium Customer Data Hub

Majorly for all Batch and Streaming Scenarios we are designing StreamSets pipelines, few best suited and tried out use cases below : 1. JDBC to ADLS data transfer based on source refresh frequency. 2. Kafka to GCS. 3. Kafka to Azure Event. 4. Hub HDFS to ADLS data transfer. 5. Schema generation to generate Avro. The easy to design Canvas, Scheduling Jobs, Fragment creation and utilization, an inbuilt wide range of Stage availability makes it an even more favorable tool for me to design data engineering pipelines.

Incentivized

Tealium Customer Data Hub is great for situations where you want to collect data from a front end data layer and then route it to multiple data tools, or if you need the ability to transform the values collected before sending. There is a tremendous amount of customizability. It has also been good for tag management of marketing/advertising tags/pixels, but could use a little improvement with regards to putting many tags on the same page. If your situation requires a lot of complexity to the marketing tags, it is still very possible to do with Tealium Customer Data Hub, but could be less complicated. Luckily, Tealium Customer Data Hub's support crew is excellent and really will partner with us and help us succeed.

Incentivized

• A easy to use canvas to create Data Engineering Pipeline.
• A wide range of available Stages ie. Sources, Processors, Executors, and Destinations.
• Supports both Batch and Streaming Pipelines.
• Scheduling is way easier than cron.
• Integration with Key-Vaults for Secrets Fetching.

Incentivized

• Simple tag management that is tough to beat. So many solutions that are incredibly simple to setup and gather data for.
• Security around the data is key and Tealium excels in this area.
• The speed impact of the tag setup is key to optimizing and allowing our web properties to run more effectively, which is a better experience for the end user.

Incentivized

• Monitoring/Visualization can be improvised and enhanced a lot (e.g. to monitor a Job to see what happened 7 days back with data transfer).
• The logging mechanism can be simplified (Logs can be filtered with "ERROR", "DEBUG", "ALL" etc but still takes some time to get familiar for understanding).
• Auto Scalability for heavy load transfer (Taking much time for >5 million record transfer from JDBC to ADLS destination in Avro file transfer).
• There should be a concept of creating Global variables which is missing.

Incentivized

• Tealium Customer Data Hub is powerful, but it has a significant learning curve. Users with JavaScript experience, developers (with a solid understanding of browser Dev Tools), and technical minded people will learn it more quickly.
• Some of the documentation seems lacking. My biggest complaint is that the documentation may explain things, but often is missing clear examples. If I had some clear examples, I could possibly avoid opening tickets for tech support.

Tealium continues to impress us with their focus on innovation and continuous improvement. Their support team makes use feel as though we are their one and only client. They exceed our expectations from both a product and people perspective, so we have no reason to look elsewhere!

Tealium iQ Tag Management System does exactly what it is intended for, it manages vendortags. Changes can be made to websites and apps in minutes. The frontend is well structured, updates are easy to carry out, and Tealium support is available at all times.

Incentivized

It's been flawless as far as I am concerned.

Incentivized

Great user interface. Easy to use. Very responsive.

Incentivized

Support team has always been great at addressing issues or questions, by providing answer or escalating it internally to the right individual. reply response time has been always reasonable. Some responses are responded with documentation doc but in some instances the question require a non-generic answer that can create a back-and-forth conversation.

Incentivized

Did what we needed to onboard us onto the platform

Incentivized

Implementation had some bumps in the road and it was new for all of us, but for the most part, it was easier than many other implementations we've done with other technologies.

Incentivized

StreamSets is a one-stop solution to design Data engineering Pipelines and doesn't require deep Programming knowledge, It's so user-friendly that anyone in Team can contribute to the Idea of pipeline design. In Hadoop One has to be programming proficient to use its various components like Hive, HDFS, Kafka, etc but in StreamSets all these stages are built-in and ready to use with minor configuration.

Incentivized

Tealium Customer Data Hub can use 1P IDs and that is the main reason we selected it. with hindsight it was a good choice in this respect Tealium Customer Data Hub can process and forward event data via api, which AAM cannot AAM connectors can be set up with a few clicks whereas Tealium Customer Data Hub connectors require support from an engineer aam machine learning tools infer a score after every event so can be used for onsite single session use cases, whereas Tealium Customer Data Hub ML infers at end of session, so is only really useful for paid media / retargeting use cases Tealium Customer Data Hub's visitor stitching approach is broad brush and irreversible; AAM allows you to merge customer profiles at your discretion depending on the use case

Like anything it could be cheaper but we still feel we get value from it.

Incentivized

Never had an issue, scales as we use it.

Incentivized

Very easy to work with and relatively cost effective

Incentivized

• Simplified Improvised Overall data ingestion and Integration Process.
• Support to various Hetrogenous Source systems like RDBMS< Kafka, Salesforce, Key Vault.
• Secure, easy to launch Integration tool.

Incentivized

• There has been a near immeasurable return on customer data and improvement of our quality for our physical products due to be in tune with the customer. This has changed our way of doing things for the better to gain a better flow and overall workplace experience.
• A negative is that Tealium AudienceStream becomes harder to manuever and use data analytics for when a database has been existing for a fairly large amount of time. It goes from an agile ship to a huge vessel that takes many components to be able to move.

Incentivized