What users are saying about

Apache Kafka

24 Ratings

Apache Hive

63 Ratings

Apache Kafka

24 Ratings
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Score 8.6 out of 101

Apache Hive

63 Ratings
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Score 8.1 out of 101

Add comparison

Likelihood to Recommend

Apache Kafka

Apache Kafka is extremely well suited in near real-time scenarios, high volume or multi-location projects. It can solve escalation problems for a fraction of the cost other solutions do and it has the flexibility of open source scenarios.
Juan Francisco Tavira profile photo

Apache Hive

Apache Hive shines for ad-hoc analysis and plugging into BI tools. Its SQL-like syntax allows for ease of use not for only for engineers but also for data analysts. Through our experience, there are probably more desirable tools to use if you are planning on integrating Hive into your processing pipeline.
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Pros

  • High volume/performance throughput environments
  • Low latency projects
  • Multiple consumers for the same data, reprocessing, long-lasting information
Juan Francisco Tavira profile photo
  • It's Fast!
  • You can store a different kind of data structures here other than the standard ones
  • Good scalability
  • Good redundancy too
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Cons

  • Still a bit inmature, some clients have required recoding in the last few versions
  • New feaures coming very fast, several upgrades a year may be required
  • Not many commercial companies provide support
Juan Francisco Tavira profile photo
  • It's not as ACID compliant as an RDBMS. It's a recently added feature and still needs work.
  • This is not the tool to go for online data processing.
  • It does not support sub-queries.
  • It can't process data in real time.
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Likelihood to Renew

Apache Kafka9.0
Based on 1 answer
Kafka is quickly becoming core product of the organization, indeed it is replacing older messaging systems. No better alternatives found yet
Juan Francisco Tavira profile photo
Apache Hive10.0
Based on 1 answer
Since I do not know the second data warehouse solution that integrate with HDFS as well as Hive.
Yinghua Hu profile photo

Usability

No score
No answers yet
No answers on this topic
Apache Hive9.0
Based on 1 answer
Hive's support SQL like queries improves its usability since almost every potential user of Hive would have had experience with SQL.
Tom Thomas profile photo

Alternatives Considered

Kafka is faster and more scalable, also "free" as opensource (albeit we deploy using a commercial distribution). Infrastructure tends to be cheaper. On the other hand, projects must adapt to Kafka APIs that sometimes change and BAU increases until a major 1.x version comes out and adds stability to the product.
Juan Francisco Tavira profile photo
I wasn't part of the evaluation process for Apache Hive. This was already implemented when I joined the company. I have worked with other big data plaftforms and I personally thinks most of them are quite comporable to one another. It really depends on what the company is going for. For exampel Google Cloud makes a ton of sense for a user if they developed their application on Google App Engine.
Sameer Gupta profile photo

Return on Investment

  • Easier deployment and horizontal scalability
  • Messaging cost reduction
  • Developments require adaptation and some paradigm shift to interoperate with Kafka
Juan Francisco Tavira profile photo
  • I think productivity has increased for us as we're now able to store data going far back as we want
  • Allows us to perform analytics that we wouldn't be able to do otherwise. For example customer life cycle mapping is possible through this
  • ROI in terms of ramp up time for new employees who don't have a big data background. Since HQL is available, which like sql, analyst that have little to no big data exposure can quickly get upto speed and start working
Sameer Gupta profile photo

Pricing Details

Apache Kafka

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details

Apache Hive

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details