Adabas vs Google BigTable comparison

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108 views|88 comparisons
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78 views|35 comparisons
100% willing to recommend
Featured Review
Eric Smets
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  • "I would like to see better pricing. It is not too expensive, but it isn't cheap either."
  • More Google BigTable Pricing and Cost Advice →

    Ranking
    8th
    Views
    108
    Comparisons
    88
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    14th
    Views
    78
    Comparisons
    35
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    BigTable
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    Overview

    Database server for large and mission-critical business applications that require sub-second response times.

    Cloud Bigtable is Google's NoSQL Big Data database service. Bigtable is designed to handle massive workloads at consistent low latency and high throughput, so it's a great choice for both operational and analytical applications, including IoT, user analytics, and financial data analysis.
    Sample Customers
    Public Authority of Civil Information (PACI), Ekurhuleni Metropolitan Municipality (EMM), Alliance Healthcare, Florida State College, Smals, Santander Consumer Bank Austria, Apollo-Optik
    Absolutdata, Aerospike, Affini-Tech, Akselos, Alacris Theranostics, Allthecooks, AloTech, APMEX Inc., Applibot, Appogee, BeDataDriven, Bitmovin, CloudBerry

    Adabas is ranked 8th in Non-Relational Databases while Google BigTable is ranked 14th in Non-Relational Databases. Adabas is rated 0.0, while Google BigTable is rated 8.6. On the other hand, the top reviewer of Google BigTable writes "Extremely scalable, quite stable and easy to deploy". Adabas is most compared with IBM IMS and CA IDMS, whereas Google BigTable is most compared with .

    See our list of best Non-Relational Databases vendors.

    We monitor all Non-Relational Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.