Cloudera Manager vs. IBM Db2 Big SQL

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Cloudera Manager
Score 9.9 out of 10
N/A
Cloudera Manager is a management application for Apache Hadoop and the enterprise data hub, from Cloudera. Its automated wizards let users quickly deploy a cluster, no matter what the scale or the deployment environment, complete with intelligent, system-based default settings.
$0.04
Hourly rate
Db2 Big SQL
Score 9.0 out of 10
N/A
IBM offers Db2 Big SQL, an enterprise grade hybrid ANSI-compliant SQL on Hadoop engine, delivering massively parallel processing (MPP) and advanced data query. Big SQL offers a single database connection or query for disparate sources such as HDFS, RDMS, NoSQL databases, object stores and WebHDFS.N/A
Pricing
Cloudera ManagerIBM Db2 Big SQL
Editions & Modules
Data Hub
$0.04/CCU
Hourly rate
Data Engineering
$0.07/CCU
Hourly rate
Data Warehouse
$0.07/CCU
Hourly rate
Operational Database
$0.08/CCU
Hourly rate
Flow Management on Data Hub
$0.15/CCU
Hourly rate
Machine Learning
$0.17/CCU
Hourly rate
DataFlow
$0.30/CCU
Hourly rate
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Offerings
Pricing Offerings
Cloudera ManagerDb2 Big SQL
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsPricing is per Cloudera Compute Unit (CCU) which is a combination of Core and Memory. CCU prices shown for each service are estimates and may vary depending on actual instance types. The prices reflected do not include infrastructure cost, networking costs, and other related costs which will vary depending on the services you choose and your cloud service provider.
More Pricing Information
Community Pulse
Cloudera ManagerIBM Db2 Big SQL
Considered Both Products
Cloudera Manager
Chose Cloudera Manager
I have not used any competitors, such as Hortonworks, because Cloudera Manager just works and meets all my customer's needs. I only have deployed hadoop using command line, which is not easy to use and manage.
Db2 Big SQL
Chose Db2 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 …
Best Alternatives
Cloudera ManagerIBM Db2 Big SQL
Small Businesses

No answers on this topic

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Medium-sized Companies
Apache Spark
Apache Spark
Score 9.2 out of 10
Cloudera Manager
Cloudera Manager
Score 9.9 out of 10
Enterprises
IBM Analytics Engine
IBM Analytics Engine
Score 7.1 out of 10
IBM Analytics Engine
IBM Analytics Engine
Score 7.1 out of 10
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User Ratings
Cloudera ManagerIBM Db2 Big SQL
Likelihood to Recommend
8.5
(0 ratings)
9.0
(0 ratings)
Likelihood to Renew
8.5
(0 ratings)
-
(0 ratings)
Usability
-
(0 ratings)
8.0
(0 ratings)
Support Rating
-
(0 ratings)
8.8
(0 ratings)
User Testimonials
Cloudera ManagerIBM Db2 Big SQL
Likelihood to Recommend
Cloudera Manager is well suited for environments and deployments where the administrator user base is not well versed in the Apache Hadoop ecosystem or the Linux command line interface.
Read full review
IBM Db2 is a legacy database and is primarily great for supporting certain legacy applications. It's simply not as competitive as many solutions on the market now.
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Pros
  • Cloudera Manager has an easy to use web GUI. You can start and stop cluster and services. It will start and stop services in a cluster in the right order. You can monitor the cluster, services, and physical host hardware as well.
  • Cloudera Manager has an easy to use API that allows us to create scripts to automate deployment process.
  • Cloudera Manager has an option to add additional services that you could manage via the web GUI.
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  • data storage
  • data manipulation
  • data definitions
  • data reliability
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Cons
  • Support for third-party Python APIs within Cloudera Manager extension framework
  • Providing more reporting/logging functionality as part of the open source distribution
  • Support for the latest RHEL versions sooner in the release lifecycle
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  • Cloud readiness.
  • Ease of implementation.
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Likelihood to Renew
It meets all my customer's needs.
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No answers on this topic
Usability
No answers on this topic
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.
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Support Rating
No answers on this topic
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!
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Alternatives Considered
I have not used any competitors, such as Hortonworks, because Cloudera Manager just works and meets all my customer's needs. I only have deployed Hadoop using command line, which is not easy to use and manage.
Read full review
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.
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Return on Investment
  • Cloudera Manager has allowed our organization to deploy Apache Hadoop to operations quicker and with less training versus using the command line exclusively.
  • Increased employee efficiency.
  • Increased product adoption.
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  • Performance gains were positive.
  • Finding resources on the street with knowledge at the time was hard.
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