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DataStax Luna Streaming vs. IBM Event Automation

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Luna Streaming
Score 0.0 out of 10
N/A
Luna Streaming consists of a free, production-ready distribution of Apache Pulsar, tools and optional enterprise-class support. The solution aims to provide peace of mind with live support and expertise from a dedicated staff of engineers who are experts at operating distributed Apache Pulsar clusters at scale.N/A
IBM Event Automation
Score 8.1 out of 10
N/A
IBM Event Automation enables businesses to accelerate their event-driven efforts. The event streams, event endpoint management and event processing capabilities help lay the foundation of an event-driven architecture for unlocking the value of events.N/A
Pricing
DataStax Luna StreamingIBM Event Automation
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Luna StreamingIBM Event Automation
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
Best Alternatives
DataStax Luna StreamingIBM Event Automation
Small Businesses

No answers on this topic

No answers on this topic

Medium-sized Companies
Confluent
Confluent
Score 9.2 out of 10
Confluent
Confluent
Score 9.2 out of 10
Enterprises
Spotfire Streaming
Spotfire Streaming
Score 5.3 out of 10
Spotfire Streaming
Spotfire Streaming
Score 5.3 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
DataStax Luna StreamingIBM Event Automation
Likelihood to Recommend
-
(0 ratings)
8.1
(14 ratings)
Usability
-
(0 ratings)
8.2
(1 ratings)
Support Rating
-
(0 ratings)
9.1
(1 ratings)
Ease of integration
-
(0 ratings)
7.9
(9 ratings)
User Testimonials
DataStax Luna StreamingIBM Event Automation
Likelihood to Recommend
DataStax
No answers on this topic
IBM
IBM Event Streams is well suited for companies developing event driven Microservices. One of the biggest challenger with microservices is that your data gets distributed into little silos - event streaming (or better known as event sourcing) allows you to get a central source of truth in your event store. We are taking this approach with IBM Event Streams and it is well suited for building an event streaming / sourcing architecture.
Hanz van Aardt | TrustRadius Reviewer
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Pros
DataStax
No answers on this topic
IBM
  • It is adaptive and helps us create more engaging experiences on our platforms.
  • The Key metrics dashboard is rich with insights.
Verified User
Anonymous
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Cons
DataStax
No answers on this topic
IBM
  • Provide Capabilities to connect the Event Streams via REST Proxy.
  • Schema Registry to handle Avro Formats.
  • Provide Kafka Connect Sink & Source Connectors.
Verified User
Anonymous
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Usability
DataStax
No answers on this topic
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.
Hanz van Aardt | TrustRadius Reviewer
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Support Rating
DataStax
No answers on this topic
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.
Hanz van Aardt | TrustRadius Reviewer
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Alternatives Considered
DataStax
No answers on this topic
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.
Engr Aijaz Ali Khushk | TrustRadius Reviewer
Engr Aijaz Ali Khushk
Project Engineer
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Return on Investment
DataStax
No answers on this topic
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
Engr Aijaz Ali Khushk | TrustRadius Reviewer
Engr Aijaz Ali Khushk
Project Engineer
Read full review
ScreenShots