Amazon Athena vs. Amazon Redshift

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon Athena
Score 8.4 out of 10
N/A
Amazon Athena is an interactive query service that makes it easy to analyze data directly in Amazon S3 using standard SQL. With a few clicks in the AWS Management Console, customers can point Athena at their data stored in S3 and begin using standard SQL to run ad-hoc queries and get results in seconds. Athena is serverless, so there is no infrastructure to setup or manage, and customers pay only for the queries they run. You can use Athena to process logs, perform ad-hoc analysis, and run…
$5
per TB of Data Scanned
Amazon Redshift
Score 7.8 out of 10
N/A
Amazon Redshift is a hosted data warehouse solution, from Amazon Web Services.
$0.24
per GB per month
Pricing
Amazon AthenaAmazon Redshift
Editions & Modules
Price per Query
$5.00
per TB of Data Scanned
Redshift Managed Storage
$0.24
per GB per month
Current Generation
$0.25 - $13.04
per hour
Previous Generation
$0.25 - $4.08
per hour
Redshift Spectrum
$5.00
per terabyte of data scanned
Offerings
Pricing Offerings
Amazon AthenaAmazon Redshift
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
Community Pulse
Amazon AthenaAmazon Redshift
Considered Both Products
Amazon Athena
Chose Amazon Athena
Amazon Redshift and EMR require explicit configuration for underlying compute infrastructure. In Amazon Athena, Users don't have to set up any underlying infrastructure. It saves a lot of costs required for infrastructure. Users have to pay only for scanned data. Athena is good …
Amazon Redshift

No answer on this topic

Top Pros
Top Cons
Features
Amazon AthenaAmazon Redshift
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Amazon Athena
8.5
3 Ratings
3% below category average
Amazon Redshift
-
Ratings
Automatic software patching8.22 Ratings00 Ratings
Database scalability8.22 Ratings00 Ratings
Automated backups7.73 Ratings00 Ratings
Database security provisions9.22 Ratings00 Ratings
Monitoring and metrics8.83 Ratings00 Ratings
Automatic host deployment9.22 Ratings00 Ratings
Best Alternatives
Amazon AthenaAmazon Redshift
Small Businesses
SingleStore
SingleStore
Score 9.8 out of 10
Google BigQuery
Google BigQuery
Score 8.6 out of 10
Medium-sized Companies
SingleStore
SingleStore
Score 9.8 out of 10
Snowflake
Snowflake
Score 9.0 out of 10
Enterprises
SingleStore
SingleStore
Score 9.8 out of 10
Snowflake
Snowflake
Score 9.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon AthenaAmazon Redshift
Likelihood to Recommend
9.5
(3 ratings)
8.0
(37 ratings)
Usability
-
(0 ratings)
10.0
(9 ratings)
Support Rating
-
(0 ratings)
9.0
(7 ratings)
Contract Terms and Pricing Model
-
(0 ratings)
10.0
(1 ratings)
User Testimonials
Amazon AthenaAmazon Redshift
Likelihood to Recommend
Amazon AWS
If you are looking to take a lot of the traditional "database administration" work off someone's plate, going with Amazon Athena certainly has "no code" options to optimize lots of database tasks. I would say this option is less appropriate if you have other Microsoft things at play, such as Power BI.
Read full review
Amazon AWS
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)
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Pros
Amazon AWS
  • Nested Schemas like JSON data structure
  • Ability to adapt the data model to fit your queries better
  • Performance Improvement
Read full review
Amazon AWS
  • [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.
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Cons
Amazon AWS
  • Query manager can incoperate GUI based query designer
  • Auto-completion engine sometimes overwrite the query
  • Time range selection should be implicit
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Amazon AWS
  • 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.
Read full review
Usability
Amazon AWS
No answers on this topic
Amazon AWS
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.
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Support Rating
Amazon AWS
No answers on this topic
Amazon AWS
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
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Alternatives Considered
Amazon AWS
Amazon Athena, a product from Amazon, competes with offerings from Google and Microsoft. Overall, I think your database choice depends on some of the other applications you are running at your company. For example, if you are using Microsoft Power BI for reporting needs, you might want to consider going the Azure route.
Read full review
Amazon AWS
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.
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Contract Terms and Pricing Model
Amazon AWS
No answers on this topic
Amazon AWS
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.
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Return on Investment
Amazon AWS
  • Easy to query terabytes of data with faster response
  • Pricing model is also cheap
  • No indexing and partitioning
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Amazon AWS
  • 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.
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