What users are saying about
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100 Ratings
179 Ratings

Apache Hive

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100 Ratings
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Score 8.2 out of 100
179 Ratings
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Score 8.7 out of 100

Attribute Ratings

  • Amazon Redshift is rated higher in 3 areas: Likelihood to Recommend, Usability, Support Rating

Likelihood to Recommend

8.3

Apache Hive

83%
37 Ratings
9.2

Amazon Redshift

92%
34 Ratings

Likelihood to Renew

10.0

Apache Hive

100%
1 Rating

Amazon Redshift

N/A
0 Ratings

Usability

8.7

Apache Hive

87%
8 Ratings
10.0

Amazon Redshift

100%
9 Ratings

Support Rating

7.2

Apache Hive

72%
7 Ratings
9.1

Amazon Redshift

91%
12 Ratings

Contract Terms and Pricing Model

Apache Hive

N/A
0 Ratings
10.0

Amazon Redshift

100%
1 Rating

Likelihood to Recommend

Apache Hive

Software work execution is on a large scale, it is good to use for new projects or organizational changes, data lineage mapping has always been dubious but this one has had good results. You can store and synchronize data from different departments, the storage process can be manual but it is best automated.
Camilo Palacios | TrustRadius Reviewer

Amazon Redshift

If the number of connections is expected to be low, but the amounts of data are large or projected to grow it is a good solutions especially if there is previous exposure to PostgreSQL. Speaking of Postgres, Redshift is based on several versions old releases of PostgreSQL so the developers would not be able to take advantage of some of the newer SQL language features. The queries need some fine-tuning still, indexing is not provided, but playing with sorting keys becomes necessary. Lastly, there is no notion of the Primary Key in Redshift so the business must be prepared to explain why duplication occurred (must be vigilant for)
Arthur Zubarev | TrustRadius Reviewer

Pros

Apache Hive

  • Apache Hive allows use to write expressive solutions to complex problems thanks to its SQL-like syntax.
  • Relatively easy to set up and start using.
  • Very little ramp-up to start using the actual product, documentation is very thorough, there is an active community, and the code base is constantly being improved.
Anonymous | TrustRadius Reviewer

Amazon Redshift

  • [Amazon] Redshift has Distribution Keys. If you correctly define them on your tables, it improves Query performance. For instance, we can define Mapping/Meta-data tables with Distribution-All Key, so that it gets replicated across all the nodes, for fast joins and fast query results.
  • [Amazon] Redshift has Sort Keys. If you correctly define them on your tables along with above Distribution Keys, it further improves your Query performance. It also has Composite Sort Keys and Interleaved Sort Keys, to support various use cases
  • [Amazon] Redshift is forked out of PostgreSQL DB, and then AWS added "MPP" (Massively Parallel Processing) and "Column Oriented" concepts to it, to make it a powerful data store.
  • [Amazon] Redshift has "Analyze" operation that could be performed on tables, which will update the stats of the table in leader node. This is sort of a ledger about which data is stored in which node and which partition with in a node. Up to date stats improves Query performance.
Narayan Motamarri | TrustRadius Reviewer

Cons

Apache Hive

  • Some queries, particularly complex joins, are still quite slow and can take hours
  • Previous jobs and queries are not stored sometimes
  • Switching to Impala can sometimes be time-consuming (i.e. the system hangs, or is slow to respond).
  • Sometimes, directories and tables don't load properly which causes confusion
Anonymous | TrustRadius Reviewer

Amazon Redshift

  • We've experienced some problems with hanging queries on Redshift Spectrum/external tables. We've had to roll back to and old version of Redshift while we wait for AWS to provide a patch.
  • Redshift's dialect is most similar to that of PostgreSQL 8. It lacks many modern features and data types.
  • Constraints are not enforced. We must rely on other means to verify the integrity of transformed tables.
Gavin Hackeling | TrustRadius Reviewer

Pricing Details

Apache Hive

General

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

Starting Price

Apache Hive Editions & Modules

Additional Pricing Details

Amazon Redshift

General

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

Starting Price

$0 per hour

Amazon Redshift Editions & Modules

Edition
Current Generation$0.25 - $13.041
Previous Generation$0.25 - $4.081
Redshift Spectrum$5.002
Redshift Managed Storage$0.243
  1. per hour
  2. per terabyte of data scanned
  3. per GB per month
Additional Pricing Details

Likelihood to Renew

Apache Hive

Apache Hive 10.0
Based on 1 answer
Since I do not know the second data warehouse solution that integrate with HDFS as well as Hive.
Yinghua Hu | TrustRadius Reviewer

Amazon Redshift

No score
No answers yet
No answers on this topic

Usability

Apache Hive

Apache Hive 8.7
Based on 8 answers
Thanks to its high usability Apache Hive enables users to craft extensive queries really efficiently and at the same time to how to hold response times very low. HiveQL simplicity makes it super easy to manage large datasets, what was almost an impossible task before introduction of Apache Hive data warehousing platform in our company.
Anonymous | TrustRadius Reviewer

Amazon Redshift

Amazon Redshift 10.0
Based on 9 answers
Just very happy with the product, it fits our needs perfectly. Amazon pioneered the cloud and we have had a positive experience using RedShift. Really cool to be able to see your data housed and to be able to query and perform administrative tasks with ease.
Brendan McKenna | TrustRadius Reviewer

Support Rating

Apache Hive

Apache Hive 7.2
Based on 7 answers
Apache Hive is a FOSS project and its open source. We need not definitely comment on anything about the support of open source and its developer community. But, it has got tremendous developer support, awesome documentation. I would justify the fact that much support can be gathered from the community backup.
Ananth Gouri | TrustRadius Reviewer

Amazon Redshift

Amazon Redshift 9.1
Based on 12 answers
The support was great and helped us in a timely fashion. We did use a lot of online forums as well, but the official documentation was an ongoing one, and it did take more time for us to look through it. We would have probably chosen a competitor product had it not been for the great support
Anonymous | TrustRadius Reviewer

Alternatives Considered

Apache Hive

Apache Hives is a very effective tool. In contrast, we wanted our data warehouse to be the location for our file system data. We also wanted to avoid using Postgres. It's great for keeping track of logs when working on big data projects. It's very similar to SQL in how it works. Even though HQL has a limited command set, it can still be helpful. It provides a fantastic open-source MapReduce implementation.
Orin Mamun | TrustRadius Reviewer

Amazon Redshift

Than Vertica: Redshift is cheaper and AWS integrated (which was a plus because the whole company was on AWS).
Than BigQuery: Redshift has a standard SQL interface, though recently I heard good things about BigQuery and would try it out again.
Than Hive: Hive is great if you are in the PB+ range, but latencies tend to be much slower than Redshift and it is not suited for ad-hoc applications.
Anonymous | TrustRadius Reviewer

Contract Terms and Pricing Model

Apache Hive

No score
No answers yet
No answers on this topic

Amazon Redshift

Amazon Redshift 10.0
Based on 1 answer
Redshift is relatively cheaper tool but since the pricing is dynamic, there is always a risk of exceeding the cost. Since most of our team is using it as self serve and there is no continuous tracking by a dedicated team, it really needs time & effort on analyst's side to know how much it is going to cost.
Sameera Srivastava | TrustRadius Reviewer

Return on Investment

Apache Hive

  • Apache hive is secured and scalable solution that helps in increasing the overall organization productivity.
  • Apache hive can handle and process large amount of data in a sufficient time manner.
  • It simplifies writing SQL queries, hence helping the organization as most companies use SQL for all query jobs.
Anonymous | TrustRadius Reviewer

Amazon Redshift

  • Our company is moving to the AWS infrastructure, and in this context moving the warehouse environments to Redshift sounds logical regardless of the cost.
  • Development organizations have to operate in the Dev/Ops mode where they build and support their apps at the same time.
  • Hard to estimate the overall ROI of moving to Redshift from my position. However, running Redshift seems to be inexpensive compared to all the licensing and hardware costs we had on our RDBMS platform before Redshift.
Michael Romm | TrustRadius Reviewer

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