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Top 9 NoSQL Databases in Cloud Infrastructure

The best NoSQL Databases within the Cloud Infrastructure category - based on our collection of reviews & verified products.

Amazon RDS Datahike MarkLogic Server Cloudant Matisse SQL Azure Aiven Percona TigerGraph DB

Summary

The top products on this list are Amazon RDS, Datahike, and MarkLogic Server. All products here are categorized as: Database systems that use a non-relational model, often used for large-scale data storage. Tools and services for managing and utilizing cloud computing resources. One of the criteria for ordering this list is the number of mentions that products have on reliable external sources. You can suggest additional sources through the form here.
  1. Easy to manage relational databases optimized for total cost of ownership.

    #Databases #NoSQL Databases #Relational Databases 73 social mentions

  2. A durable datalog database adaptable for distribution.

    #Databases #NoSQL Databases #Relational Databases 4 social mentions

  3. MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities.

    #Databases #NoSQL Databases #Relational Databases

  4. A scalable JSON document database for web, mobile, IoT and serverless applications.

    #Databases #Graph Databases #NoSQL Databases

  5. Matisse is a post-relational SQL database.

    #Databases #NoSQL Databases #Relational Databases

  6. Microsoft Azure Cloud SQL Database is the developerโ€™s cloud database service. The Azure database as a service is your solution to building and monitoring applications quickly and efficiently.

    #Project Management #Databases #Relational Databases 10 social mentions

  7. 7
    Leverage the complete open source ecosystem of extensions and tools to create highly-performant data pipelines for event-driven applications on all major clouds.
    Pricing:
    • Open Source

    #Cloud Storage #Databases #Cloud Computing 33 social mentions

  8. Percona delivers software, support, consulting and managed services for both MySQL and MongoDB across traditional and cloud-based platforms.

    #Databases #NoSQL Databases #Relational Databases

  9. Application and Data, Data Stores, and Graph Database as a Service

    #Big Data #Databases #Graph Databases

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