IBM Db2 Big SQL vs. Oracle Big Data SQL Cloud Service

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Db2 Big SQL
Score 8.7 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
Oracle Big Data SQL Cloud Service
Score 6.2 out of 10
N/A
The Oracle Big Data Cloud Service is a PaaS supporting data scientists with secured and encrypted Hadoop clusters, running a diverse set of workloads from Hadoop-only workloads (ETL, Spark, Hive etc.) to interactive, all-encompassing interactive SQL queries using SQLon-Hadoop tools and Oracle Big Data SQL Cloud Service. The Oracle Big Data Cloud Service includes automated lifecycle management and self-maintenance as well as additional access to Oracle analytics tools like Oracle Big Data Spatial…N/A
Pricing
IBM Db2 Big SQLOracle Big Data SQL Cloud Service
Editions & Modules
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Offerings
Pricing Offerings
Db2 Big SQLOracle Big Data SQL Cloud Service
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
IBM Db2 Big SQLOracle Big Data SQL Cloud Service
Top Pros
Top Cons
Best Alternatives
IBM Db2 Big SQLOracle Big Data SQL Cloud Service
Small Businesses

No answers on this topic

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Medium-sized Companies
Cloudera Manager
Cloudera Manager
Score 9.7 out of 10
SAP HANA Cloud
SAP HANA Cloud
Score 8.5 out of 10
Enterprises
IBM Analytics Engine
IBM Analytics Engine
Score 8.8 out of 10
Delphix
Delphix
Score 9.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
IBM Db2 Big SQLOracle Big Data SQL Cloud Service
Likelihood to Recommend
9.0
(2 ratings)
9.0
(1 ratings)
Usability
8.0
(1 ratings)
-
(0 ratings)
Support Rating
8.8
(2 ratings)
-
(0 ratings)
User Testimonials
IBM Db2 Big SQLOracle Big Data SQL Cloud Service
Likelihood to Recommend
IBM
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.
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Oracle
Oracle Big Data SQL Cloud Service is useful for large organizations with more than 5,000 employees where it will help manage the company's human resources information, and also useful for companies who have a big number of items and so one, it's perfect for large organizations. Unfortunately, this makes it an expensive solution for small to medium organizations.
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Pros
IBM
  • data storage
  • data manipulation
  • data definitions
  • data reliability
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Oracle
  • Store Data
  • Organize Data
  • Integrate Data
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Cons
IBM
  • Cloud readiness.
  • Ease of implementation.
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Oracle
  • Needs some modernization to its UI
  • Takes some time to analyze big chunks of Data
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Usability
IBM
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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Oracle
No answers on this topic
Support Rating
IBM
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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Oracle
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Alternatives Considered
IBM
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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Oracle
Oracle Big Data SQL Cloud Service was able to provide solutions to all our of needs at that time and was the fastest solution to be implemented.
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Return on Investment
IBM
  • better data visibility
  • solid reliability for mission critical data
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Oracle
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ScreenShots