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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Azure Cosmos DB

    Score9.1 out of 10
    N/AMicrosoft Azure Cosmos DB is Microsoft's Big Data analysis platform. It is a NoSQL database service and is a replacement for the earlier DocumentDB NoSQL database.N/A

    Qubole

    Score5 out of 10
    N/AQubole is a NoSQL database offering from the California-based company of the same name.N/A
    Pricing
    Azure Cosmos DBQubole
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Azure Cosmos DBQubole
    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
    Features
    Azure Cosmos DBQubole
    NoSQL Databases
    Comparison of NoSQL Databases features of Azure Cosmos DB and Qubole
    Feature
    Azure Cosmos DB
    -
    Ratings
    Qubole
    8.3
    1 Ratings
    3% below category average
    Performance00 Ratings7.01 Ratings
    Availability00 Ratings6.01 Ratings
    Concurrency00 Ratings8.01 Ratings
    Security00 Ratings7.01 Ratings
    Scalability00 Ratings10.01 Ratings
    Data model flexibility00 Ratings10.01 Ratings
    Deployment model flexibility00 Ratings10.01 Ratings
    Best Alternatives
    Azure Cosmos DBQubole
    Small Businesses
    No answers on this topic
    IBM Cloudant
    Score7.4 out of 10
    Medium-sized Companies
    HBase
    Score7.3 out of 10
    IBM Cloudant
    Score7.4 out of 10
    Enterprises
    Cassandra
    Score9 out of 10
    IBM Cloudant
    Score7.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Azure Cosmos DBQubole
    Likelihood to Recommend
    10.0
    (7 ratings)
    8.0
    (1 ratings)
    Likelihood to Renew
    7.6
    (4 ratings)
    6.0
    (1 ratings)
    Usability
    8.8
    (2 ratings)
    -
    (0 ratings)
    Support Rating
    9.2
    (2 ratings)
    -
    (0 ratings)
    User Testimonials
    Azure Cosmos DBQubole
    Likelihood to Recommend
    Microsoft
    Like any NoSQL database, whether it's MongoDB or not, it's best suited for unstructured data. It's also well suited for storing raw data before processing it and performing any type of ETL on the data.
    Incentivized
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    Qubole
    I find Qubole is well suited for getting started analyzing data in the cloud without being locked in to a specific cloud vendor's tooling other than the underlying filesystem. Since the data itself is not isolated to any Qubole cluster, it can be easily be collected back into a cloud-vendor's specific tools for further analysis, therefore I find it complementary to any offerings such as Amazon EMR or Google DataProc.
    Incentivized
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    Pros
    Microsoft
    • Scalable Instantly and automatically serverless database for any large scale business.
    • Quick access and response to data queries due to high speed in reading and writing data
    • Create a powerful digital experience for your customers with real-time offers and agile access to DB with super-fast analysis and comparison for best recommendation
    Incentivized
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    Qubole
    • From a UI perspective, I find Qubole's closest comparison to Cloudera's HUE; it provides a one-stop shop for all data browsing and querying needs.
    • Auto scaling groups and auto-terminating clusters provides cost savings for idle resources.
    • Qubole fits itself well into the open-source data science market by providing a choice of tools that aren't tied to a specific cloud vendor.
    Incentivized
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    Cons
    Microsoft
    • Expensive, so be careful of the use case.
    • We had a thought time migrating from traditional DBs to Cosmos. Azure should provide a seamless platform for the migration of data from on-premises to cloud.
    Incentivized
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    Qubole
    • Providing an open selection of all cloud provider instance types with no explanation as to their ideal use cases causes too much confusion for new users setting up a new cluster. For example, not everyone knows that Amazon's R or X-series models are memory optimized, while the C and M-series are for general computation.
    • I would like to see more ETL tools provided other than DistCP that allow one to move data between Hadoop Filesystems.
    • From the cluster administration side, onboarding of new users for large companies seems troublesome, especially when trying to create individual cluster per team within the company. Having the ability to debug and share code/queries between users of other teams / clusters should also be possible.
    Incentivized
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    Likelihood to Renew
    Microsoft
    It's efficient, easy to scale, and works. We do have to do a bit of administration, but less now than when we started with this a couple of years ago. Microsoft continues to improve its self-management capability.
    Incentivized
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    Qubole
    Personally, I have no issues using Amazon EMR with Hue and Zeppelin, for example, for data science and exploratory analysis. The benefits to using Qubole are that it offers additional tooling that may not be available in other cloud providers without manual installation and also offers auto-terminating instances and scaling groups.
    Incentivized
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    Usability
    Microsoft
    It has very good compatibility and adaptability with other APIs and developers can safely create new apps because it is compatible with various tools and can be easily managed and run under the cloud, and in terms of security, it is one of the best of its kind, which is very powerful and excellent.
    Incentivized
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    Qubole
    No answers on this topic
    Support Rating
    Microsoft
    Microsoft is the best when it comes to after-sales support. They have a well-structured training and knowledge base portal that anyone can use. They are usually quick to respond to cases and are on point for on-call support. I have no complaints from a support standpoint. Pretty happy with the support.
    Incentivized
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    Qubole
    No answers on this topic
    Alternatives Considered
    Microsoft
    Cosmos DB is unique in the industry as a true multi-model, cloud-native database engine that comes with solutions for geo-redundancy, multi-master writes, (globally!) low latency, and cost-effective hosting built in. I've yet to see anything else that even comes close to the power that Cosmos DB packs into its solution. The simplicity and tooling support are nice bonus features as well.
    Incentivized
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    Qubole
    Qubole was decided on by upper management rather than these competitive offerings. I find that Databricks has a better Spark offering compared to Qubole's Zeppelin notebooks.
    Incentivized
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    Return on Investment
    Microsoft
    • It's made managing raw data much easier
    • It provides a way to maintain raw data at a low cost
    • It's easy to massage the data
    Incentivized
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    Qubole
    • We like to say that Qubole has allowed for "data democratization", meaning that each team is responsible for their own set of tooling and use cases rather than being limited by versions established by products such as Hortonworks HDP or Cloudera CDH
    • One negative impact is that users have over-provisioned clusters without realizing it, and end up paying for it. When setting up a new cluster, there are too many choices to pick from, and data scientists may not understand the instance types or hardware specs for the datasets they need to operate on.
    Incentivized
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