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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Kubernetes

    Score9.1 out of 10
    N/AKubernetes is an open-source container cluster manager.N/A

    Oracle Autonomous Data Warehouse

    Score8.1 out of 10
    N/AOracle Autonomous Data Warehouse is optimized for analytic workloads, including data marts, data warehouses, data lakes, and data lakehouses. With Autonomous Data Warehouse, data scientists, business analysts, and nonexperts can discover business insights using data of any size and type. The solution is built for the cloud and optimized using Oracle Exadata.N/A
    Pricing
    KubernetesOracle Autonomous Data Warehouse
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    KubernetesOracle Autonomous Data Warehouse
    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
    KubernetesOracle Autonomous Data Warehouse
    Considered Both Products
    Kubernetes
    No answer on this topic
    Oracle
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    9 Answers
    100%
    Would buy again
    7 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    9 Answers
    100%
    Delivers good value for the price
    6 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    9 Answers
    100%
    Happy with the feature set
    7 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    5 Answers
    100%
    Lived up to sales and marketing promises
    5 Answers
    Implementation went as expected
    75%
    Implementation went as expected
    6 Answers
    100%
    Implementation went as expected
    7 Answers
    Features
    KubernetesOracle Autonomous Data Warehouse
    Container Management
    Comparison of Container Management features of Kubernetes and Oracle Autonomous Data Warehouse
    Feature
    Kubernetes
    9.2
    4 Ratings
    12% above category average
    Oracle Autonomous Data Warehouse
    -
    Ratings
    Security and Isolation9.34 Ratings00 Ratings
    Container Orchestration9.84 Ratings00 Ratings
    Cluster Management9.84 Ratings00 Ratings
    Storage Management8.64 Ratings00 Ratings
    Resource Allocation and Optimization8.84 Ratings00 Ratings
    Discovery Tools9.34 Ratings00 Ratings
    Update Rollouts and Rollbacks9.34 Ratings00 Ratings
    Self-Healing and Recovery9.33 Ratings00 Ratings
    Analytics, Monitoring, and Logging9.14 Ratings00 Ratings
    Best Alternatives
    KubernetesOracle Autonomous Data Warehouse
    Small Businesses
    Mirantis Kubernetes Engine
    Score8 out of 10
    No answers on this topic
    Medium-sized Companies
    Amazon Elastic Container Service (Amazon ECS)
    Score8.6 out of 10
    Cloudera Enterprise Data Hub
    Score9 out of 10
    Enterprises
    SUSE Rancher
    Score9.4 out of 10
    Oracle Exadata
    Score9.8 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    KubernetesOracle Autonomous Data Warehouse
    Likelihood to Recommend
    8.7
    (19 ratings)
    8.9
    (32 ratings)
    Likelihood to Renew
    10.0
    (1 ratings)
    8.0
    (1 ratings)
    Usability
    9.1
    (3 ratings)
    -
    (0 ratings)
    Implementation Rating
    -
    (0 ratings)
    9.0
    (1 ratings)
    User Testimonials
    KubernetesOracle Autonomous Data Warehouse
    Likelihood to Recommend
    Kubernetes
    K8s should be avoided - If your application works well without being converted into microservices-based architecture & fits correctly in a VM, needs less scaling, have a fixed traffic pattern then it is better to keep away from Kubernetes. Otherwise, the operational challenges & technical expertise will add a lot to the OPEX. Also, if you're the one who thinks that containers consume fewer resources as compared to VMs then this is not true. As soon as you convert your application to a microservice-based architecture, a lot of components will add up, shooting your resource consumption even higher than VMs so, please beware. Kubernetes is a good choice - When the application needs quick scaling, is already in microservice-based architecture, has no fixed traffic pattern, most of the employees already have desired skills.
    Incentivized
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    Oracle
    II would recommend Oracle Autonomous Data Warehouse to someone looking to fully automate the transferring of data especially in a warehouse scenario though I can see the elasticity of the suite that is offered and can see it is applicable in other scenarios not just warehouses.
    Incentivized
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    Pros
    Kubernetes
    • Complex cluster management can be done with simple commands with strong authentication and authorization schemes
    • Exhaustive documentation and open community smoothens the learning process
    • As a user a few concepts like pod, deployment and service are sufficient to go a long way
    Incentivized
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    Oracle
    • Very easy and fast to load data into the Oracle Autonomous Data Warehouse
    • Exceptionally fast retrieval of data joining 100 million row table with a billion row table plus the size of the database was reduced by a factor of 10 due to how Oracle store[s] and organise[s] data and indexes.
    • Flexibility with scaling up and down CPU on the fly when needed, and just stop it when not needed so you don't get charged when it is not running.
    • It is always patched and always available and you can add storage dynamically as you need it.
    Read full review
    Cons
    Kubernetes
    • Local development, Kubernetes does tend to be a bit complicated and unnecessary in environments where all development is done locally.
    • The need for add-ons, Helm is almost required when running Kubernetes. This brings a whole new tool to manage and learn before a developer can really start to use Kubernetes effectively.
    • Finicy configmap schemes. Kubernetes configmaps often have environment breaking hangups. The fail safes surrounding configmaps are sadly lacking.
    Incentivized
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    Oracle
    • It is very expensive product. But not to mention, there's good reasons why it is expensive.
    • The product should support more cloud based services. When we made the decision to buy the product (which was 20 years ago,) there was no such thing to consider, but moving to a cloud based data warehouse may promise more scalability, agility, and cost reduction. The new version of Data Warehouse came out on the way, but it looks a bit behind compared to other competitors.
    • Our healthcare data consists of 30% coded data (such as ICD 10 / SNOMED C,T) but the rests is narrative (such as clinical notes.). Oracle is the best for warehousing standardized data, but not a good choice when considering unstructured data, or a mix of the two.
    Incentivized
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    Likelihood to Renew
    Kubernetes
    The Kubernetes is going to be highly likely renewed as the technologies that will be placed on top of it are long term as of planning. There shouldn't be any last minute changes in the adoption and I do not anticipate sudden change of the core underlying technology. It is just that the slow process of technology adoption that makes it hard to switch to something else.
    Read full review
    Oracle
    Because
    • It is really simple to provision and configure.
    • Does not require continous attention from the DBA, autonomous features allows the database to perform most of the regular admin tasks without need for human intervention.
    • Allows to integrate multiple data sources on a central data warehouse, and explode the information stored with different analytic and reporting tools.
    Incentivized
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    Usability
    Kubernetes
    It is an eminently usable platform. However, its popularity is overshadowed by its complexity. To properly leverage the capabilities and possibilities of Kubernetes as a platform, you need to have excellent understanding of your use case, even better understanding of whether you even need Kubernetes, and if yes - be ready to invest in good engineering support for the platform itself
    Incentivized
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    Oracle
    No answers on this topic
    Implementation Rating
    Kubernetes
    No answers on this topic
    Oracle
    Understanding Oracle Cloud Infrastructure is really simple, and Autonomous databases are even more. Using shared or dedicated infrastructure is one of the few things you need to consider at the moment of starting provisioning your Oracle Autonomous Data Warehouse.
    Incentivized
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    Alternatives Considered
    Kubernetes
    Most of the required features for any orchestration tool or framework, which is provided by Kubernetes. After understanding all modules and features of the K8S, it is the best fit for us as compared with others out there.
    Incentivized
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    Oracle
    As I mentioned, I have also worked with Amazon Redshift, but it is not as versatile as Oracle Autonomous Data Warehouse and does not provide a large variety of products. Oracle Autonomous Data Warehouse is also more reliable than Amazon Redshift, hence why I have chosen it
    Incentivized
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    Return on Investment
    Kubernetes
    • Because of microservices, Kubernetes makes it easy to find the cost of each application easily.
    • Like every new technology, initially, it took more resources to educate ourselves but over a period of time, I believe it's going to be worth it.
    Incentivized
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    Oracle
    • Overall the business objective of all of our clients have been met positively with Oracle Data Warehouse. All of the required analysis the users were able to successfully carry out using the warehouse data.
    • Using a 3-tier architecture with the Oracle Data Warehouse at the back end the mid-tier has been integrated well. This is big plus in providing the necessary tools for end users of the data warehouse to carry out their analysis.
    • All of the various BI products (OBIEE, Cognos, etc.) are able to use and exploit the various analytic built-in functionalities of the Oracle Data Warehouse.
    Incentivized
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