Apache Kafka vs. Astra Streaming

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Kafka
Score 8.4 out of 10
N/A
Apache Kafka is an open-source stream processing platform developed by the Apache Software Foundation written in Scala and Java. The Kafka event streaming platform is used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.N/A
Astra Streaming
Score 10.0 out of 10
N/A
DataStax Astra Streaming is a fully-managed event streaming service powered by Apache Pulsar that was built to scale. Astra Streaming has been built to run in the cloud of your choice, including (GCP, AWS, Microsoft Azure) without sacrificing open-source compatibility.N/A
Pricing
Apache KafkaAstra Streaming
Editions & Modules
No answers on this topic
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Offerings
Pricing Offerings
Apache KafkaAstra Streaming
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Apache KafkaAstra Streaming
Top Pros

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Top Cons

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Best Alternatives
Apache KafkaAstra Streaming
Small Businesses

No answers on this topic

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Medium-sized Companies
IBM MQ
IBM MQ
Score 9.1 out of 10
Confluent
Confluent
Score 7.3 out of 10
Enterprises
IBM MQ
IBM MQ
Score 9.1 out of 10
Spotfire Streaming
Spotfire Streaming
Score 7.3 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache KafkaAstra Streaming
Likelihood to Recommend
8.3
(18 ratings)
10.0
(1 ratings)
Likelihood to Renew
9.0
(2 ratings)
-
(0 ratings)
Usability
10.0
(1 ratings)
-
(0 ratings)
Support Rating
8.4
(4 ratings)
-
(0 ratings)
User Testimonials
Apache KafkaAstra Streaming
Likelihood to Recommend
Apache
Apache Kafka is well-suited for most data-streaming use cases. Amazon Kinesis and Azure EventHubs, unless you have a specific use case where using those cloud PaAS for your data lakes, once set up well, Apache Kafka will take care of everything else in the background. Azure EventHubs, is good for cross-cloud use cases, and Amazon Kinesis - I have no real-world experience. But I believe it is the same.
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DataStax
DataStax Enterprise is a state-of-the-art data management platform that manages our own data across web, mobile, and IoT applications. It is a hybrid cloud-based solution that enables us to meet the availability and performance requirements of web, IoT and mobile platforms.
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Pros
Apache
  • Really easy to configure. I've used other message brokers such as RabbitMQ and compared to them, Kafka's configurations are very easy to understand and tweak.
  • Very scalable: easily configured to run on multiple nodes allowing for ease of parallelism (assuming your queues/topics don't have to be consumed in the exact same order the messages were delivered)
  • Not exactly a feature, but I trust Kafka will be around for at least another decade because active development has continued to be strong and there's a lot of financial backing from Confluent and LinkedIn, and probably many other companies who are using it (which, anecdotally, is many).
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DataStax
  • Easy to operate and save man hours
  • Easy installation and configuration
  • Mature and scalable data warehouse, well supported
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Cons
Apache
  • Sometimes it becomes difficult to monitor our Kafka deployments. We've been able to overcome it largely using AWS MSK, a managed service for Apache Kafka, but a separate monitoring dashboard would have been great.
  • Simplify the process for local deployment of Kafka and provide a user interface to get visibility into the different topics and the messages being processed.
  • Learning curve around creation of broker and topics could be simplified
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DataStax
  • Their solution is expensive compared to other resolutions, however you get what you pay for.
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Likelihood to Renew
Apache
Kafka is quickly becoming core product of the organization, indeed it is replacing older messaging systems. No better alternatives found yet
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DataStax
No answers on this topic
Usability
Apache
Apache Kafka is highly recommended to develop loosely coupled, real-time processing applications. Also, Apache Kafka provides property based configuration. Producer, Consumer and broker contain their own separate property file
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DataStax
No answers on this topic
Support Rating
Apache
Support for Apache Kafka (if willing to pay) is available from Confluent that includes the same time that created Kafka at Linkedin so they know this software in and out. Moreover, Apache Kafka is well known and best practices documents and deployment scenarios are easily available for download. For example, from eBay, Linkedin, Uber, and NYTimes.
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DataStax
No answers on this topic
Alternatives Considered
Apache
I used other messaging/queue solutions that are a lot more basic than Confluent Kafka, as well as another solution that is no longer in the market called Xively, which was bought and "buried" by Google. In comparison, these solutions offer way fewer functionalities and respond to other needs.
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DataStax
No answers on this topic
Return on Investment
Apache
  • Positive: Get a quick and reliable pub/sub model implemented - data across components flows easily.
  • Positive: it's scalable so we can develop small and scale for real-world scenarios
  • Negative: it's easy to get into a confusing situation if you are not experienced yet or something strange has happened (rare, but it does). Troubleshooting such situations can take time and effort.
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DataStax
  • In my personal opinion, I can mention that this product has enormous positive points because it has worked really well for us in our organization in a very positive way, for which we ourselves feel quite comfortable with this product.
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