What users are saying about
245 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener noreferrer'>trScore algorithm: Learn more.</a>Score 8.4 out of 100
Based on 245 reviews and ratings
4 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener noreferrer'>trScore algorithm: Learn more.</a>Score 8.4 out of 100
Based on 4 reviews and ratings
Likelihood to Recommend
Hadoop
Apache Hadoop (and its subsequent add-ons) are well-suited to larger, unstructured data flows, such as aggregation of web traffic or advertising. Geospatial algorithms and their outputs are well-suited for this kind of aggregation as structuring that data is challenging, but leaving it unstructured and performing queries as-needed is a better fit for most business models. With the advent of data science, I would expect Hadoop fits a LOT of their initial outputs quite well.
Senior DevOps Engineer
Simpli.fiOnline Media, 201-500 employees
Db2 Big SQL
My recommendation obviously would depend on the application. But I think given the right requirements, IBM DB2 Big SQL is definitely a contender for a database platform. Especially when disparate data and multiple data stores are involved. I like the fact I can use the product to federate my data and make it look like it's all in one place. The engine is high performance and if you desire to use Hadoop, this could be your platform.
Vice President, Chief Architect, Development Manager and Software Engineer
WySTAR Global Retirement Solutions, a Wells Fargo CompanyFinancial Services, 10,001+ employees
Pros
Hadoop
- HDFS is reliable and solid, and in my experience with it, there are very few problems using it
- Enterprise support from different vendors makes it easier to 'sell' inside an enterprise
- It provides High Scalability and Redundancy
- Horizontal scaling and distributed architecture
Sr. Engineering Manager/Delivery Manager
Nisum Technologies, Inc.Retail, 10,001+ employees
Db2 Big SQL
- data storage
- data manipulation
- data definitions
- data reliability
Database Administrator
RewardsLive.comInternet, 51-200 employees
Cons
Hadoop
- Hadoop is a batch oriented processing framework, it lacks real time or stream processing.
- Hadoop's HDFS file system is not a POSIX compliant file system and does not work well with small files, especially smaller than the default block size.
- Hadoop cannot be used for running interactive jobs or analytics.
Senior Software Engineer
San Jose State UniversityComputer Software, 51-200 employees
Db2 Big SQL
- Cloud readiness.
- Ease of implementation.
Vice President, Chief Architect, Development Manager and Software Engineer
WySTAR Global Retirement Solutions, a Wells Fargo CompanyFinancial Services, 10,001+ employees
Likelihood to Renew
Hadoop
Hadoop 9.6
Based on 8 answers
Hadoop is organization-independent and can be used for various purposes ranging from archiving to reporting and can make use of economic, commodity hardware. There is also a lot of saving in terms of licensing costs - since most of the Hadoop ecosystem is available as open-source and is free
Senior Vice President
IpsosInformation Technology and Services, 10,001+ employees
Db2 Big SQL
No score
No answers yet
No answers on this topic
Usability
Hadoop
Hadoop 8.5
Based on 5 answers
Great! Hadoop has an easy to use interface that mimics most other data warehouses. You can access your data via SQL and have it display in a terminal before exporting it to your business intelligence platform of choice. Of course, for smaller data sets, you can also export it to Microsoft Excel.
Senior Financial Analyst
Lowe's Companies, Inc.Retail, 10,001+ employees
Db2 Big SQL
Db2 Big SQL 8.0
Based on 1 answer
IBM DB2 is a solid service but hasn't seen much innovation over the past decade. It gets the job done and supports our IT operations across digital so it is fair.
Database Administrator
RewardsLive.comInternet, 51-200 employees
Support Rating
Hadoop
Hadoop 6.9
Based on 6 answers
We went with a third party for support, i.e., consultant. Had we gone with Azure or Cloudera, we would have obtained support directly from the vendor. my rating is more on the third party we selected and doesn't reflect the overall support available for Hadoop. I think we could have done better in our selection process, however, we were trying to use an already approved vendor within our organization. There is plenty of self-help available for Hadoop online.
Vice President, Chief Architect, Development Manager and Software Engineer
WySTAR Global Retirement Solutions, a Wells Fargo CompanyFinancial Services, 10,001+ employees
Db2 Big SQL
Db2 Big SQL 8.7
Based on 2 answers
IBM did a good job of supporting us during our evaluation and proof of concept. They were able to provide all necessary guidance, answer questions, help us architect it, etc. We were pleased with the support provided by the vendor. I will caveat and say this support was all before the sale, however, we have a ton of IBM products and they provide the same high level of support for all of them. I didn't see this being any different. I give IBM support two thumbs up!
Vice President, Chief Architect, Development Manager and Software Engineer
WySTAR Global Retirement Solutions, a Wells Fargo CompanyFinancial Services, 10,001+ employees
Online Training
Hadoop
Hadoop 6.1
Based on 2 answers
Hadoop is a complex topic and best suited for classrom training. Online training are a waste of time and money.
Senior Vice President
IpsosInformation Technology and Services, 10,001+ employees
Db2 Big SQL
No score
No answers yet
No answers on this topic
Alternatives Considered
Hadoop
Not used any other product than Hadoop and I don't think our company will switch to any other product, as Hadoop is providing excellent results. Our company is growing rapidly, Hadoop helps to keep up our performance and meet customer expectations. We also use HDFS which provides very high bandwidth to support MapReduce workloads.

Verified User
Engineer in Engineering
Computer Software Company, 51-200 employeesDb2 Big SQL
MS SQL Server was ruled out given we didn't feel we could collapse environments. We thought of MS-SQL as more of a one for one replacement for Sybase ASE, i.e., server for server. SAP HANA was evaluated and given a big thumbs up but was rejected because the SQL would have to be rewritten at the time (now they have an accelerator so you don't have to). Also, there was a very low adoption rate within the enterprise. IBM DB2 Big SQL was not selected even though technically it achieved high scores, because we could not find readily available talent and low adoption rate within the enterprise (basically no adoption at the time). We ended up selecting Exadata because of the high adoption rate within the enterprise even though technically HANA and Big SQL were superior in our evaluations.
Vice President, Chief Architect, Development Manager and Software Engineer
WySTAR Global Retirement Solutions, a Wells Fargo CompanyFinancial Services, 10,001+ employees
Return on Investment
Hadoop
- Hadoop has allowed us to scale out a few of our tier-1, customer facing applications to provide very fast access to reports and analytics.
- Hadoop was easily implemented by our Linux team and onboarded by our Hadoop Admins.
- Hadoop has been a very stable platform and only goes down due to server patching or other maintenance.
Senior Network Administrator
Vizient, Inc.Hospital & Health Care, 1001-5000 employees
Db2 Big SQL
- better data visibility
- solid reliability for mission critical data
Database Administrator
RewardsLive.comInternet, 51-200 employees
Pricing Details
Hadoop
General
Free Trial
—Free/Freemium Version
Yes
Premium Consulting/Integration Services
—Entry-level set up fee?
No
Db2 Big SQL
General
Free Trial
—Free/Freemium Version
—Premium Consulting/Integration Services
—Entry-level set up fee?
No