We performed a comparison between Fivetran and IBM InfoSphere DataStage based on real PeerSpot user reviews.
Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The compare feature is the most valuable piece of it."
"The most important feature of the solution is its ability to build data pipelines in less time."
"The product has some seamless connectors, which are readily available."
"The simplicity of the solution is its valuable feature."
"Fivetran's most valuable feature is replication."
"The most valuable feature of Fivetran is that it only synchronizes what needs to be synchronized."
"Fivetran can perform data migration incredibly fast, depending on the source and target."
"There's the general feature of the platform where it just makes it very easy to integrate different things, but I would say a specific difference is their integration of DBT,."
"When we have needed help from the IBM team, they were helpful. Our company is a premium partner so we get fast responses."
"In IBM DataStage, the Transformer is the most valuable feature for me. It enables me to apply complex transformations, generate the gateway key, and map source tables into the session table."
"We can view what we want to do. We can transform data and put them on tables."
"The performance optimization is quite good in DataStage. It provides parallelism and pipelining mechanisms"
"Offers great flexibility."
"Compared to other ETL tools, DataStage has excellent debugging and development capabilities. And the availability of connectors, even though we sometimes have to opt for specific ones. Also, the availability of patches is good."
"ETL is the most valuable feature."
"The most valuable feature of the solution is the ability to incorporate very complex business rules in Data Stage."
"The solution is very expensive. I would like to have a better integration of the solution with Azure."
"Fivetran is very expensive for data sources with a lot of rows, such as email data. I would like to see cheaper pricing for data sources like that."
"It should have a few more monitoring functionalities."
"We use a separate tool for "reverse ETL", which is the opposite of what Fivetran does; it pushes data from your data warehouse back out to business applications. If Fivetran pulls data from those same applications, they should also enable users to push it back. I would love to do both ETL and reverse ETL in the same tool."
"I would like Fivetran to implement additional resource monitoring and restriction policies."
"The connections with SAP must be improved."
"Fivetran should add more connectors because its competitors, like Airbyte, have more connectors."
"There was a random change to our contract in a unilateral manner after the first year. The overall cost of using Fivetran was then unclear and this is the reason I would not recommend this solution."
"The documentation and in-application help for this solution need to be improved, especially for new features."
"The solution can be a bit more user-friendly, similar to Informatica."
"It doesn't have any big data connections. It would be good to have them because most of the systems are moving towards big data. There should also be a user-friendly way to interact with the cloud. Its loading process is very slow. It takes a lot of time for around 5 or 6 million records, and we are not able to provide real-time data to the vendors due to this delay. Its performance needs to be improved. It is also like a legacy system. It is not updated much. In higher versions, they only do small changes. We would like to have new features and new technologies."
"What needs improvement in IBM InfoSphere DataStage is its pricing. The pricing for the solution is higher than its competitors, so a lot of the clients my company has worked with prefer other tools over IBM InfoSphere DataStage because of the high price tag. Another area for improvement in the solution stems from a lot of new types of databases, for example, databases in the cloud and big data have become available, and IBM InfoSphere DataStage is working on various connectors for different data sources, but that still isn't up-to-date, meaning that some connectors are missing for modern data sources. The latest version of IBM InfoSphere DataStage also has a complex architecture, so my team faced frequent outages and that should be improved as well."
"It would be useful to provide support for Python, AR, and Java."
"In terms of intermediate storage, we have some challenges, especially with customers who store data in intermediate locations."
"The interface needs improvement. It is really too technical. That is the main problem."
"The response time from support is slow and needs to be improved."
Fivetran is ranked 13th in Data Integration with 19 reviews while IBM InfoSphere DataStage is ranked 7th in Data Integration with 37 reviews. Fivetran is rated 8.0, while IBM InfoSphere DataStage is rated 7.8. The top reviewer of Fivetran writes "Solution reduces time-to-value; high ROI". On the other hand, the top reviewer of IBM InfoSphere DataStage writes "User-friendly with a lot of functions for transmission rules, but has slow performance and not suitable for a huge volume of data". Fivetran is most compared with AWS Database Migration Service, Qlik Replicate, Azure Data Factory, Oracle GoldenGate and Informatica Cloud Data Integration, whereas IBM InfoSphere DataStage is most compared with IBM Cloud Pak for Data, SSIS, Azure Data Factory, Talend Open Studio and Informatica PowerCenter. See our Fivetran vs. IBM InfoSphere DataStage report.
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