Azure Anomaly Detector vs. IBM StreamSets vs. Informatica Cloud Data Integration

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Anomaly Detector
Score 8.9 out of 10
N/A
Anomaly Detector on Microsoft's Azure is an AI service that helps foresee problems. Users can embed time-series anomaly detection capabilities into apps to help users identify problems quickly. Anomaly Detector ingests time-series data of all types and selects the best anomaly detection algorithm for the data to support high accuracy. Detect spikes, dips, deviations from cyclic patterns, and trend changes through both univariate and multivariate APIs. The service can be customized to detect any…N/A
IBM StreamSets
Score 8.0 out of 10
N/A
IBM® StreamSets enables users to create and manage smart streaming data pipelines through a graphical interface, facilitating data integration across hybrid and multicloud environments. IBM StreamSets can support millions of data pipelines for analytics, applications and hybrid integration.N/A
Informatica Cloud Data Integration
Score 8.3 out of 10
N/A
Informatica Cloud Data Integration, for Cloud ETL and ELT, enables users to ingest, integrate and cleanse data within Informatica's cloud-native ETL and ELT solution. Users can link source and target data with thousands of connectors that recognize metadata, to make it easier to run complex integrations.N/A
Pricing
Azure Anomaly DetectorIBM StreamSetsInformatica Cloud Data Integration
Editions & Modules
No answers on this topic
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure Anomaly DetectorIBM StreamSetsInformatica Cloud Data Integration
Free Trial
YesNoYes
Free/Freemium Version
NoNoNo
Premium Consulting/Integration Services
NoNoNo
Entry-level Setup FeeNo setup feeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Azure Anomaly DetectorIBM StreamSetsInformatica Cloud Data Integration
Features
Azure Anomaly DetectorIBM StreamSetsInformatica Cloud Data Integration
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Azure Anomaly Detector
-
Ratings
IBM StreamSets
-
Ratings
Informatica Cloud Data Integration
10.0
2 Ratings
19% above category average
Connect to traditional data sources00 Ratings00 Ratings10.02 Ratings
Connecto to Big Data and NoSQL00 Ratings00 Ratings10.02 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Azure Anomaly Detector
-
Ratings
IBM StreamSets
-
Ratings
Informatica Cloud Data Integration
8.5
2 Ratings
5% above category average
Simple transformations00 Ratings00 Ratings10.02 Ratings
Complex transformations00 Ratings00 Ratings7.02 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Azure Anomaly Detector
-
Ratings
IBM StreamSets
-
Ratings
Informatica Cloud Data Integration
8.3
2 Ratings
6% above category average
Data model creation00 Ratings00 Ratings9.01 Ratings
Metadata management00 Ratings00 Ratings9.01 Ratings
Business rules and workflow00 Ratings00 Ratings9.01 Ratings
Collaboration00 Ratings00 Ratings7.02 Ratings
Testing and debugging00 Ratings00 Ratings7.02 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Azure Anomaly Detector
-
Ratings
IBM StreamSets
-
Ratings
Informatica Cloud Data Integration
9.0
1 Ratings
12% above category average
Integration with data quality tools00 Ratings00 Ratings9.01 Ratings
Integration with MDM tools00 Ratings00 Ratings9.01 Ratings
Best Alternatives
Azure Anomaly DetectorIBM StreamSetsInformatica Cloud Data Integration
Small Businesses
IBM Streams (discontinued)
IBM Streams (discontinued)
Score 9.0 out of 10
Skyvia
Skyvia
Score 10.0 out of 10
Skyvia
Skyvia
Score 10.0 out of 10
Medium-sized Companies
Confluent
Confluent
Score 9.2 out of 10
Astera Data Pipeline Builder (Centerprise)
Astera Data Pipeline Builder (Centerprise)
Score 8.8 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Enterprises
Spotfire Streaming
Spotfire Streaming
Score 5.1 out of 10
Control-M
Control-M
Score 9.4 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
All AlternativesView all alternativesView all alternativesView all alternatives
User Ratings
Azure Anomaly DetectorIBM StreamSetsInformatica Cloud Data Integration
Likelihood to Recommend
-
(0 ratings)
7.3
(10 ratings)
8.0
(2 ratings)
Likelihood to Renew
-
(0 ratings)
6.4
(1 ratings)
-
(0 ratings)
Usability
-
(0 ratings)
7.5
(9 ratings)
6.0
(1 ratings)
Support Rating
-
(0 ratings)
5.5
(1 ratings)
-
(0 ratings)
User Testimonials
Azure Anomaly DetectorIBM StreamSetsInformatica Cloud Data Integration
Likelihood to Recommend
Microsoft
No answers on this topic
IBM
IBM StreamSets excels in real-time logistics data ingestion and transformation across hybrid systems. It’s less ideal for lightweight ETL tasks or static datasets where simpler tools can achieve similar results with less overhead and complexity.
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Informatica
We use it a lot for importing data. We transform the incoming data to match the formatting of our CRM. We also match on existing records to avoid creating duplicates. Informatica handles all of this exceptionally well. Our users are system administrators. The tool is not well-suited for users who do not have a technical background
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Pros
Microsoft
No answers on this topic
IBM
  • It helps streaming huge data that we have in our Teradata database to various reporting applications that runs on cloud seamlessly.
  • We also use IBM StreamSets to power few BI dashboards that our product managers use on regular basis to showcase various data with clients.
  • I think the data quality is way better compared to Informatica tool.
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Informatica
  • Data synchronisation
  • Data replication
  • Data integration
Read full review
Cons
Microsoft
No answers on this topic
IBM
  • The error messages I feel aren t always very descriptive so troubleshooting can take longer
  • Maybe more customisation options for scheduling can be done, rest it works pretty well.
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Informatica
  • There is a moderately steep learning curve
  • Has some idiosyncrasies
  • Can be finicky with date formats
Read full review
Likelihood to Renew
Microsoft
No answers on this topic
IBM
IBM Stream sets has been a wonderful addition to our technology stack. It has helped in some of our initiatives such as data engineering, data integration for not only external customers but also for internal purposes. The tool has also helped on our use cases related to streaming data. Moving to another tool would require significant amount of work and time.
Read full review
Informatica
No answers on this topic
Usability
Microsoft
No answers on this topic
IBM
The StreamSets platform is very easy to use and the interface is extremely intuitive. The drag-and-drop, low-code design makes it accessible for teams with varying technical skills, allowing us to quickly connect sources, define transformations, and deploy pipelines without heavy coding. StreamSets allows us to get started quickly and not have to worry about our pipelines breaking once they're built.
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Informatica
There is a learning curve with Informatica. It is not always intuitive to use. It is best suited for technical users such as system administrators
Read full review
Support Rating
Microsoft
No answers on this topic
IBM
Streamsets support has improved a lot in the last couple of years. We had some challenges in the beginning with support, but now the quality of the support and the responsiveness to tickets are better. We have contacted support multiple times when it came to scenarios where the system was slow or the output as not as we expected
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Informatica
No answers on this topic
Implementation Rating
Microsoft
No answers on this topic
IBM
I was not involved in the implementation
Read full review
Informatica
No answers on this topic
Alternatives Considered
Microsoft
No answers on this topic
IBM
First advantage is that this software is particularly new and it keeps updating according to the needs of the user. Other advantage is the it organises and produces conclusions on the basis of data without leaving any relevant information. Other softwares lack in data summarising and readability of the charts and sheets they produce.
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Informatica
It is really easy to comply and understand its features.
Read full review
Return on Investment
Microsoft
No answers on this topic
IBM
  • time saving for automatic collection and integration of data
  • time saving thanks to live monitoring and reaction
  • time saving for standardization of data
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Informatica
  • Really greatest than any other conventional application.
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ScreenShots