Apache Hive vs. Db2

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Hive
Score 8.0 out of 10
N/A
Apache Hive is database/data warehouse software that supports data querying and analysis of large datasets stored in the Hadoop distributed file system (HDFS) and other compatible systems, and is distributed under an open source license.N/A
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
Apache HiveDb2
Editions & Modules
No answers on this topic
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 Sales
Db2 Advanced Edition
Contact Sales
Offerings
Pricing Offerings
Apache HiveDb2
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
Apache HiveDb2
Top Pros
Top Cons
Best Alternatives
Apache HiveDb2
Small Businesses
Google BigQuery
Google BigQuery
Score 8.7 out of 10
Google Cloud SQL
Google Cloud SQL
Score 8.8 out of 10
Medium-sized Companies
Cloudera Enterprise Data Hub
Cloudera Enterprise Data Hub
Score 9.0 out of 10
SAP HANA Cloud
SAP HANA Cloud
Score 8.8 out of 10
Enterprises
Oracle Exadata
Oracle Exadata
Score 9.3 out of 10
SAP IQ
SAP IQ
Score 10.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache HiveDb2
Likelihood to Recommend
8.0
(35 ratings)
8.6
(90 ratings)
Likelihood to Renew
10.0
(1 ratings)
7.8
(12 ratings)
Usability
8.5
(7 ratings)
9.5
(7 ratings)
Availability
-
(0 ratings)
8.8
(64 ratings)
Performance
-
(0 ratings)
9.1
(12 ratings)
Support Rating
7.0
(6 ratings)
8.4
(6 ratings)
In-Person Training
-
(0 ratings)
8.2
(1 ratings)
Implementation Rating
-
(0 ratings)
7.5
(3 ratings)
Configurability
-
(0 ratings)
9.1
(2 ratings)
Ease of integration
-
(0 ratings)
8.7
(2 ratings)
Product Scalability
-
(0 ratings)
8.7
(64 ratings)
Vendor post-sale
-
(0 ratings)
8.7
(2 ratings)
Vendor pre-sale
-
(0 ratings)
8.7
(2 ratings)
User Testimonials
Apache HiveDb2
Likelihood to Recommend
Apache
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.
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IBM
I have primarily used it as the basis for a SIS - but I have migrated more than a few systems from there database systems to DB2 (Filemaker, MySQL, etc.). DB2 does have a better structural approach, as opposed to Filemaker, which allows for more data consistency, but this can also lead to an inflexibility that can sometimes be counterintuitive when attempting to compensate for the flexibility of the work environment as Schools tend to have an all in one approach.
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Pros
Apache
  • 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.
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IBM
  • While we query a large set of data, the results are generally available within a minute or so.
  • Always reliable - I have never experienced an application going down.
  • It is easy to write queries and find tables and columns.
  • We can log in smoothly without any headaches.
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Cons
Apache
  • 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
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IBM
  • Learning curve for DB resources - Improvements to UI or native command line built-ins can help with increasing efficiencies for DB resources
  • Better resource utilization monitoring and recommendations
  • Continue to adopt support for modern frameworks and languages making it easier for organizations to see making Db2 the easy first choice
Read full review
Likelihood to Renew
Apache
Since I do not know the second data warehouse solution that integrate with HDFS as well as Hive.
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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.
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Usability
Apache
Hive is a very good big data analysis and ad-hoc query platform, which supports scaling also. The BI processes can be easily integrated with Hadoop via the Hive. It can deal with a much larger data set that traditional RDBMS can not. It is a "must-have" component of the big data domain.
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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.
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Reliability and Availability
Apache
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
Apache
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
Apache
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.
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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
Apache
No answers on this topic
IBM
the material was very clear and all subjects have been handled
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Implementation Rating
Apache
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
Apache
Besides Hive, I have used Google BigQuery, which is costly but have very high computation speed. Amazon Redshift is the another product, I used in my recent organisation. Both Redshift and BigQuery are managed solution whereas Hive needs to be managed
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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
Apache
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
Apache
  • 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.
Read full review
IBM
  • There is great value the solution brings when it comes to building stored procedures and ongoing tasks that allows our team to streamlines processes.
  • The platform has allowed us to see value by providing a solution for data structuring and data hygiene which prevents deduplication of data and lowers costs
  • With the integration capabilities it allows our analytics team to more seamlessly create highly visible dashboards that see directly into the data and pinpoint areas that need attention.
Read full review
ScreenShots

Db2 Screenshots

Screenshot of Db2 - Data sharingScreenshot of Db2 - Machine LearningScreenshot of Db2 - Real time insights