Amazon Athena vs. Db2

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
Db2
Score 8.6 out of 10
N/A
DB2 is a family of relational database software solutions offered by IBM. It includes standard Db2 and Db2 Warehouse editions, either deployable on-cloud, or on-premise.
$0
Pricing
Amazon AthenaDb2
Editions & Modules
Price per Query
$5.00
per TB of Data Scanned
Db2 on Cloud Lite
$0
Db2 on Cloud Standard
$99
per month
Db2 Warehouse on Cloud Flex One
$898
per month
Db2 on Cloud Enterprise
$946
per month
Db2 Warehouse on Cloud Flex for AWS
2,957
per month
Db2 Warehouse on Cloud Flex
$3,451
per month
Db2 Warehouse on Cloud Flex Performance
13,651
per month
Db2 Warehouse on Cloud Flex Performance for AWS
13,651
per month
Db2 Standard Edition
Contact us
Db2 Advanced Edition
Contact us
Offerings
Pricing Offerings
Amazon AthenaDb2
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeOptional
Additional Details
More Pricing Information
Community Pulse
Amazon AthenaDb2
Top Pros
Top Cons
Features
Amazon AthenaDb2
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
Db2
-
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 AthenaDb2
Small Businesses
SingleStore
SingleStore
Score 9.8 out of 10
SingleStore
SingleStore
Score 9.8 out of 10
Medium-sized Companies
SingleStore
SingleStore
Score 9.8 out of 10
SingleStore
SingleStore
Score 9.8 out of 10
Enterprises
SingleStore
SingleStore
Score 9.8 out of 10
SingleStore
SingleStore
Score 9.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon AthenaDb2
Likelihood to Recommend
9.5
(3 ratings)
8.5
(74 ratings)
Likelihood to Renew
-
(0 ratings)
8.0
(12 ratings)
Usability
-
(0 ratings)
8.7
(7 ratings)
Availability
-
(0 ratings)
8.7
(51 ratings)
Performance
-
(0 ratings)
9.1
(11 ratings)
Support Rating
-
(0 ratings)
6.0
(6 ratings)
In-Person Training
-
(0 ratings)
8.2
(1 ratings)
Implementation Rating
-
(0 ratings)
9.0
(2 ratings)
Configurability
-
(0 ratings)
9.1
(1 ratings)
Ease of integration
-
(0 ratings)
8.2
(1 ratings)
Product Scalability
-
(0 ratings)
8.7
(51 ratings)
Vendor post-sale
-
(0 ratings)
8.2
(1 ratings)
Vendor pre-sale
-
(0 ratings)
8.2
(1 ratings)
User Testimonials
Amazon AthenaDb2
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
IBM
I could think of a couple but the obvious is in Fintech and Retail, because of the amount of transactional and event level data for global operations. It is imperative to have a solution that can handle such large scale date, in real-time and batch delivery for inbound and outbound delivery, and ultimately ensuring that workload management is supported in some cases for around the clock SLAs.
Read full review
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
IBM
  • DB2 maintains itself very well. The Task Scheduler component of DB2 allows for statistics gathering and reorganization of indexes and tables without user interaction or without specific knowledge of cron or Windows Task Scheduler / Scheduled jobs.
  • Its use of ASYNC, NEARSYNC, and SYNC HADR (High Availability Disaster Recovery ) models gives you a range of options for maintaining a very high uptime ratio. Failover from PRIMARY to SECONDARY becomes very easy with just a single command or windowed mouse click.
  • Task Scheduler ( DB2 9.7 and earlier ) allows for jobs to be run within other jobs, and exit and error codes can define what other jobs are run. This allows for ease of maintenance without third party softwares.
  • Tablespace usage and automatic storage help keep your data segmented while at rest, making partitioning easier.
  • Ability to run commands via CLI (Command Line Interface) or via Control Center / Data Studio ( DB2 10.x+) makes administration a breeze.
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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
Read full review
IBM
  • The relational model requires a rigid schema that does not necessarily fit with some types of modern development.
  • Proprietary database, requires a lot of Hardware for its good performance and its costs are high.
  • As data grows in production environment, it becomes slow.
Read full review
Likelihood to Renew
Amazon AWS
No answers on this topic
IBM
The DB2 database is a solid option for our school. We have been on this journey now for 3-4 years so we are still adapting to what it can do. We will renew our use of DB2 because we don’t see. Major need to change. Also, changing a main database in a school environment is a major project, so we’ll avoid that if possible.
Read full review
Usability
Amazon AWS
No answers on this topic
IBM
You have to be well versed in using the technology, not only from a GUI interface but from a command line interface to successfully use this software to its fullest.
Read full review
Reliability and Availability
Amazon AWS
No answers on this topic
IBM
I have never had DB2 go down unexpectedly. It just works solidly every day. When I look at the logs, sometimes DB2 has figured out there was a need to build an index. Instead of waiting for me to do it, the database automatically created the index for me. At my current company, we have had zero issues for the past 8 years. We have upgrade the server 3 times and upgraded the OS each time and the only thing we saw was that DB2 got better and faster. It is simply amazing.
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Performance
Amazon AWS
No answers on this topic
IBM
The performances are exceptional if you take care to maintain the database. It is a very powerful tool and at the same time very easy to use. In our installation, we expect a DB machine on the mainframe with access to the database through ODBC connectors directly from branch servers, with fabulous end users experience.
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Support Rating
Amazon AWS
No answers on this topic
IBM
Easily the best product support team. :) Whenever we have questions, they have answered those in a timely manner and we like how they go above and beyond to help.
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In-Person Training
Amazon AWS
No answers on this topic
IBM
the material was very clear and all subjects have been handled
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Implementation Rating
Amazon AWS
No answers on this topic
IBM
db2 work well with the application, also the replication tool can keep it up
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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.
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IBM
DB2 was more scalable and easily configurable than other products we evaluated and short listed in terms of functionality and pricing. IBM also had a good demo on premise and provided us a sandbox experience to test out and play with the product and DB2 at that time came out better than other similar products.
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Scalability
Amazon AWS
No answers on this topic
IBM
By
using DB2 only to support my IzPCA activities, my knowledge here
is somewhat limited.

Anyway,
from what I was able to understand, DB2 is extremely scallable.

Maybe the information below could serve as an example of scalability.
Customer have an huge mainframe environment, 13x z15 CECs, around
80 LPARs, and maybe more than 50 Sysplexes (I am not totally sure about this
last figure...)

Today
we have 7 IzPCA
databases, each one in a distinct Syplex.

Plans
are underway to have, at the end, an small LPAR, with only one DB2 sub-system,
and with only one database, then transmit the data from a lot of other LPARs,
and then process all the data in this only one database.



The
IzPCA collect process (read the data received, manipulate it, and insert rows
in the tables) today is a huge process, demanding many elapsed
hours, and lots of CPU.

Almost
100% of the tables are PBR type, insert jobs run in parallel, but in 4 of the 7
database, it is a really a huge and long process.



Combining
the INSERTs loads from the 7 databases in only one will be impossible.......,,,,



But,
IzPCA recently introduced a new feature, called "Continuous
Collector"
.
By
using that feature, small amounts of data will be transmited to the central
LPAR at every 5 minutes (or even less), processed immediately,in
a short period of time, and with small use of CPU,
instead of one or two transmissions by day, of very large amounts of data and
the corresponding collect jobs occurring only once or twice a day, with long
elapsed times, and huge comsumption of CPU



I
suspect the total CPU seconds consumed will be more or less the same in
both cases, but in the new method it will occur in small bursts
many times a day!!
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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
Read full review
IBM
  • Fast response time by processing optimization and cost reduction by reduced CPU utilization. Nowadays, good performance is a necessary condition for the survival of a company and its sustained growth
  • SQL enhancements are targeted to improve performance, simplify current and new applications, and reduce the development cycle time to market.
  • A CPU reduction at peak times can immediately reduce our TCO by reducing software costs related to CPU utilization.
  • Impressive reductions in memory requirements, which used to limit the concurrent database activity
  • Out-of-the-box savings without changing the database or application
Read full review
ScreenShots