What users are saying about
32 Ratings
65 Ratings
32 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow'>trScore algorithm: Learn more.</a>
Score 8.5 out of 101
65 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow'>trScore algorithm: Learn more.</a>
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

I think Apache hive is great for a company just stepping into the big data realm. I think the fact that it's open source allows for a variety of tools to be integrated. The fact that it has HiveQL makes for a great transition from a standard RDMS to a big data tool. This can be very nice in terms of cost savings as the ramp up time for an analyst will be quite low.
Sameer Gupta profile photo

Pros

  • High volume/performance throughput environments
  • Low latency projects
  • Multiple consumers for the same data, reprocessing, long-lasting information
Juan Francisco Tavira profile photo
  • SQL like query engine, allows easy ramp up from a standard RDBMS
  • Scalability is great
  • If properly configured the data retreival is fantastic
Sameer Gupta profile photo

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
  • The way we currently have it implemented is quite slow, but I believe that's more of our implementation
  • Joins tend to be slow
Sameer Gupta profile photo

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
Presto is slightly less reliable but much faster for interactive querying. These tools would not be replacements for each other, but rather complements.
No photo available

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
  • Installation and set up of the clusters is easy.
  • Effective handling of the complex queries and large set of data.
Kartik Chavan 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