Informatica PowerCenter vs. StreamSets DataOps Platform

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Informatica PowerCenter
Score 7.8 out of 10
N/A
Informatica PowerCenter is a metadata driven data integration technology designed to form the foundation for data integration initiatives, including analytics and data warehousing, application migration, or consolidation and data governance.N/A
StreamSets
Score 8.1 out of 10
N/A
StreamSets in San Francisco offers their DataOps Platform, a subscription based streaming analytics platform including StreamSets Data Collector data source management, Control Hub for data movement architecture management, StreamSets Data Collector Edge IoT manager, DataFlow Performance Manager (DPM), and StreamSets Data Protector compliance (e.g. GDPR) compliance module.N/A
Pricing
Informatica PowerCenterStreamSets DataOps Platform
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Informatica PowerCenterStreamSets
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
Informatica PowerCenterStreamSets DataOps Platform
Top Pros
Top Cons
Features
Informatica PowerCenterStreamSets DataOps Platform
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Informatica PowerCenter
8.5
18 Ratings
3% above category average
StreamSets DataOps Platform
-
Ratings
Connect to traditional data sources9.018 Ratings00 Ratings
Connecto to Big Data and NoSQL8.014 Ratings00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Informatica PowerCenter
7.5
18 Ratings
11% below category average
StreamSets DataOps Platform
-
Ratings
Simple transformations8.018 Ratings00 Ratings
Complex transformations7.018 Ratings00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Informatica PowerCenter
8.2
18 Ratings
0% above category average
StreamSets DataOps Platform
-
Ratings
Data model creation9.015 Ratings00 Ratings
Metadata management8.016 Ratings00 Ratings
Business rules and workflow9.018 Ratings00 Ratings
Collaboration6.116 Ratings00 Ratings
Testing and debugging9.017 Ratings00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Informatica PowerCenter
9.0
15 Ratings
9% above category average
StreamSets DataOps Platform
-
Ratings
Integration with data quality tools9.015 Ratings00 Ratings
Integration with MDM tools9.013 Ratings00 Ratings
Streaming Analytics
Comparison of Streaming Analytics features of Product A and Product B
Informatica PowerCenter
-
Ratings
StreamSets DataOps Platform
9.0
1 Ratings
11% above category average
Visualization Dashboards00 Ratings7.01 Ratings
Low Latency00 Ratings8.01 Ratings
Integrated Development Tools00 Ratings10.01 Ratings
Data wrangling and preparation00 Ratings10.01 Ratings
Data Enrichment00 Ratings10.01 Ratings
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Informatica PowerCenterStreamSets DataOps Platform
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User Ratings
Informatica PowerCenterStreamSets DataOps Platform
Likelihood to Recommend
8.0
(21 ratings)
9.0
(1 ratings)
Likelihood to Renew
10.0
(4 ratings)
-
(0 ratings)
Usability
9.0
(3 ratings)
-
(0 ratings)
Performance
9.4
(2 ratings)
-
(0 ratings)
Support Rating
9.0
(2 ratings)
-
(0 ratings)
User Testimonials
Informatica PowerCenterStreamSets DataOps Platform
Likelihood to Recommend
Informatica
1.- Scenaries with poor sources of data is not recomended (Very bad ROI). The solution is for medium-big enterprises with a lot of sources of data and users. 2.- Bank and finance enviroment to integrate differente data form trading, Regulatory reports, decisions makers, fraud and financial crimes because in this kind of scenary the quality of data is the base of the business. 3.- Departments of development and test of applications in enterprises because you can design enviroments, out of the production systems, to development and test the new API's or updateds made.
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StreamSets
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.
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Pros
Informatica
  • Informatica Powercenter is an innovative software that works with ETL-type data integration. Connectivity to almost all the database systems.
  • Great documentation and customer support.
  • It has a various solution to address data quality issues. data masking, data virtualization. It has various supporting tools or MDM, IDQ, Analyst, BigData which can be used to analyze data and correct it.
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StreamSets
  • 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.
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Cons
Informatica
  • There are too many ways to perform the same or similar functions which in turn makes it challenging to trace what a workflow is doing and at which point (ex. sessions can be designed as static or re-usable and the override can occur at the session or workflow, or both which can be counter productive and confusing when troubleshooting).
  • The power in structured design is a double edged sword. Simple tasks for a POC can become cumbersome. Ex. if you want to move some data to test a process, you first have to create your sources by importing them which means an ODBC connection or similar will need to be configured, you in turn have to develop your targets and all of the essential building blocks before being able to begin actual development. While I am on sources and targets, I think of a table definition as just that and find it counter intuitive to have to design a table as both a source and target and manage them as different objects. It would be more intuitive to have a table definition and its source/target properties defined by where you drag and drop it in the mapping.
  • There are no checkpoints or data viewer type functions without designing an entire mapping and workflow. If you would like to simply run a job up to a point and check the throughput, an entire mapping needs to be completed and you would workaround this by creating a flat file target.
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StreamSets
  • 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.
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Likelihood to Renew
Informatica
Our team enjoys using Informatica and feels that it is one of the best ETL tools on the market.
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StreamSets
No answers on this topic
Usability
Informatica
Positives; - Multi User Development Environment - Speed of transformation - Seamless integration between other Informatica products. Negatives; - There should be less windows to maintain developers' focus while using. You probably need 2 big monitors when you start development with Informatica Power Center. - Oracle Analytical functions should be natively used. - E-LT support as well as ETL support.
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StreamSets
No answers on this topic
Performance
Informatica
PowerCenter is robust and fast, and it does a great job meeting all the needs, not just the most commercially vocal needs. In the hands of an expert power user, you can accomplish almost anything with your data. It is not for new users or intermittent users-- for that the Cloud version is a better fit. Be prepared for costly connectors (priced differently for each source or destination you are working with), and just be planful of your projects so you are not paying for connectors you no longer need or want
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StreamSets
No answers on this topic
Support Rating
Informatica
Informatica power center is a leader of the pack of ETL tools and has some great abilities that make it stand out from other ETL tools. It has been a great partner to its clients over a long time so it's definitely dependable. With all the great things about Informatica, it has a bit of tech burden that should be addressed to make it more nimble, reduce the learning curve for new developers, provide better connectivity with visualization tools.
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StreamSets
No answers on this topic
Alternatives Considered
Informatica
While Talend offers a much more comfortable interface to work with, Informatica's forte is performance. And on that front, Informatica Enterprise Data Integration certainly leaves Talend in the dust. For a more back-end-centric use case, Informatica is certainly the ETL tool of choice. On the other hand, if business users would be using the tool, then Talend would be the preferred tool.
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StreamSets
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.
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Return on Investment
Informatica
  • The data pipeline automation capability of Informatica means that few resources are needed to pre-process the data that ultimately resides in a Data Warehouse. Once a workflow is implemented, manual intervention is not needed.
  • PowerCenter did require more resources and time for installation and configuration than was expected/planned for.
  • The lack of or minimal support of unstructured data means that newer sources of dynamic/changing data cannot be easily processed/transformed through PowerCenter workflows.
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StreamSets
  • 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.
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