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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Db2 Big SQL

    Score9 out of 10
    N/AIBM 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

    Kognitio

    Score9 out of 10
    N/AWX2 is the data and analytics focused data warehouse appliance solution from UK company Kognitio.N/A
    Pricing
    Db2 Big SQLKognitio
    Editions & Modules
    No answers on this topic
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    Offerings
    Pricing Offerings
    Db2 Big SQLKognitio
    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
    Best Alternatives
    Db2 Big SQLKognitio
    Small Businesses
    No answers on this topic
    No answers on this topic
    Medium-sized Companies
    Cloudera Manager
    Score9.9 out of 10
    Cloudera Manager
    Score9.9 out of 10
    Enterprises
    Apache Spark
    Score9.2 out of 10
    Apache Spark
    Score9.2 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Db2 Big SQLKognitio
    Likelihood to Recommend
    9.0
    (2 ratings)
    9.0
    (2 ratings)
    Usability
    8.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    8.8
    (2 ratings)
    -
    (0 ratings)
    User Testimonials
    Db2 Big SQLKognitio
    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.
    Incentivized
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    Kognitio
    What you have are different strategies for data encoding, which makes the process quite flexible, it is perfectly done so that a joint and collaborative work can be carried out, this information analyzed in large quantities, is extremely vital for the company, by giving it the correct and timely reading
    Incentivized
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    Pros
    IBM
    • data storage
    • data manipulation
    • data definitions
    • data reliability
    Incentivized
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    Kognitio
    • Ultra fast query results.
    • IN Memory Database.
    • Easy integration to reporting services.
    Incentivized
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    Cons
    IBM
    • Cloud readiness.
    • Ease of implementation.
    Incentivized
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    Kognitio
    • Problems Could Be Encountered is particularly pronounced in more complex analyses.
    • Categorical variables are often not precise enough
    Incentivized
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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.
    Incentivized
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    Kognitio
    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!
    Incentivized
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    Kognitio
    No answers on this topic
    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.
    Incentivized
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    Kognitio
    We selected Kognitio because of the legacy systems that are still running. Also, we have legacy systems in place that are fit for Kognitio. End-user has good feedback on our side when we started implementing this solution. Current servers are compatible with Kognitio in place.
    Incentivized
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    Return on Investment
    IBM
    • better data visibility
    • solid reliability for mission critical data
    Incentivized
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    Kognitio
    • The implementation of the formats to integrate the users we have and the program is also good.
    • I also improve the control of aspects related to the work environment
    Incentivized
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