IBM Event Streams vs. StreamSets DataOps Platform

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM Event Streams
Score 8.5 out of 10
N/A
IBM Event Streams is a high-throughput, fault-tolerant, event streaming solution. Powered by Apache Kafka, it provides access to enterprise data through event streams, enabling businesses to unlock insights from historical data, and identify and take action on situations in real time and at scale.N/A
StreamSets
Score 8.4 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
IBM Event StreamsStreamSets DataOps Platform
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM Event StreamsStreamSets
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
Additional Details——
More Pricing Information
Community Pulse
IBM Event StreamsStreamSets DataOps Platform
Considered Both Products
IBM Event Streams
Chose IBM Event Streams
In Event Streams, applications send data by creating a message and sending it to a topic. To receive messages, applications subscribe to a topic. High availability and reliability. Event Streams offers a highly available and reliable Apache Kafka service running on IBM Cloud. …
StreamSets

No answer on this topic

Top Pros
Top Cons
Features
IBM Event StreamsStreamSets DataOps Platform
Streaming Analytics
Comparison of Streaming Analytics features of Product A and Product B
IBM Event Streams
-
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
Best Alternatives
IBM Event StreamsStreamSets DataOps Platform
Small Businesses

No answers on this topic

IBM Streams
IBM Streams
Score 9.0 out of 10
Medium-sized Companies
Apache Kafka
Apache Kafka
Score 8.4 out of 10
Confluent
Confluent
Score 7.4 out of 10
Enterprises
Apache Kafka
Apache Kafka
Score 8.4 out of 10
Spotfire Streaming
Spotfire Streaming
Score 8.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
IBM Event StreamsStreamSets DataOps Platform
Likelihood to Recommend
7.9
(15 ratings)
9.0
(1 ratings)
Usability
8.2
(1 ratings)
-
(0 ratings)
Support Rating
9.1
(1 ratings)
-
(0 ratings)
Ease of integration
7.8
(10 ratings)
-
(0 ratings)
User Testimonials
IBM Event StreamsStreamSets DataOps Platform
Likelihood to Recommend
IBM
We used it in two cases, and it went pretty good with both. We used it for analytics and logging alongside event-based communication between different tech-stacks. One thing that users need to keep in mind is that it has a limited knowledgebase and will need a good understanding of Kafka to use it efficiently. So choose it carefully and when its needed
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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
IBM
  • It is adaptive and helps us create more engaging experiences on our platforms.
  • The Key metrics dashboard is rich with insights.
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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
IBM
  • Provide Capabilities to connect the Event Streams via REST Proxy.
  • Schema Registry to handle Avro Formats.
  • Provide Kafka Connect Sink & Source Connectors.
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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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Usability
IBM
The product was very user friendly and extremely easy to get started with. The documentation is excellent and the free tier makes it very easy to get started with without having to make deep or long term financial commitments.
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StreamSets
No answers on this topic
Support Rating
IBM
I met with the support team and they have deep technical and development understanding of the needs and the problems which IBM Event Streams addresses. If you are looking for a product backed by a highly technical support team then IBM Event Streams is probably the best choice. I was specifically impressed by the level of technical understanding my support team demonstrated.
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StreamSets
No answers on this topic
Alternatives Considered
IBM
In Event Streams, applications send data by creating a message and sending it to a topic. To receive messages, applications subscribe to a topic. High availability and reliability. Event Streams offers a highly available and reliable Apache Kafka service running on IBM Cloud. Event Streams. Event Streams stores three replicas of your data to ensure the highest level of resilience across three availability zones.
Read full review
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
IBM
  • In using downstreams, the minimal features and the rate of releases were slow, makes us feel that there's no upgrades and other than that there's poor marketing of the product.
  • The adoption around the service is low, requires focused marketing.
  • Lack of visibility into topic depth , Monitoring capabilities
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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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ScreenShots