Amazon DynamoDB vs Azure Cosmos DB vs Orchestrate

Get Advice Icon

Need advice about which tool to choose?Ask the StackShare community!

Amazon DynamoDB

3.7K
3.2K
+ 1
195
Azure Cosmos DB

595
1.1K
+ 1
130
Orchestrate

5
16
+ 1
0
Manage your open source components, licenses, and vulnerabilities
Learn More
Pros of Amazon DynamoDB
Pros of Azure Cosmos DB
Pros of Orchestrate
  • 62
    Predictable performance and cost
  • 56
    Scalable
  • 35
    Native JSON Support
  • 21
    AWS Free Tier
  • 7
    Fast
  • 3
    No sql
  • 3
    To store data
  • 2
    Serverless
  • 2
    No Stored procedures is GOOD
  • 1
    ORM with DynamoDBMapper
  • 1
    Elastic Scalability using on-demand mode
  • 1
    Elastic Scalability using autoscaling
  • 1
    DynamoDB Stream
  • 28
    Best-of-breed NoSQL features
  • 22
    High scalability
  • 15
    Globally distributed
  • 14
    Automatic indexing over flexible json data model
  • 10
    Tunable consistency
  • 10
    Always on with 99.99% availability sla
  • 7
    Javascript language integrated transactions and queries
  • 6
    Predictable performance
  • 5
    High performance
  • 5
    Analytics Store
  • 2
    Rapid Development
  • 2
    No Sql
  • 2
    Auto Indexing
  • 2
    Ease of use
    Be the first to leave a pro

    Sign up to add or upvote prosMake informed product decisions

    Cons of Amazon DynamoDB
    Cons of Azure Cosmos DB
    Cons of Orchestrate
    • 4
      Only sequential access for paginate data
    • 1
      Scaling
    • 1
      Document Limit Size
    • 18
      Pricing
    • 4
      Poor No SQL query support
      Be the first to leave a con

      Sign up to add or upvote consMake informed product decisions

      What is Amazon DynamoDB?

      With it , you can offload the administrative burden of operating and scaling a highly available distributed database cluster, while paying a low price for only what you use.

      What is Azure Cosmos DB?

      Azure DocumentDB is a fully managed NoSQL database service built for fast and predictable performance, high availability, elastic scaling, global distribution, and ease of development.

      What is Orchestrate?

      Orchestrate is a managed database service that delivers a single access point to full-text search, time-ordered events, geospatial and graph queries through a REST API. It allows developers to build complete apps or add features to existing ones fast, without the operational burden of deploying and managing multiple databases themselves.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use Amazon DynamoDB?
      What companies use Azure Cosmos DB?
      What companies use Orchestrate?

      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with Amazon DynamoDB?
      What tools integrate with Azure Cosmos DB?
      What tools integrate with Orchestrate?
        No integrations found

        Sign up to get full access to all the tool integrationsMake informed product decisions

        What are some alternatives to Amazon DynamoDB, Azure Cosmos DB, and Orchestrate?
        Google Cloud Datastore
        Use a managed, NoSQL, schemaless database for storing non-relational data. Cloud Datastore automatically scales as you need it and supports transactions as well as robust, SQL-like queries.
        MongoDB
        MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
        Amazon SimpleDB
        Developers simply store and query data items via web services requests and Amazon SimpleDB does the rest. Behind the scenes, Amazon SimpleDB creates and manages multiple geographically distributed replicas of your data automatically to enable high availability and data durability. Amazon SimpleDB provides a simple web services interface to create and store multiple data sets, query your data easily, and return the results. Your data is automatically indexed, making it easy to quickly find the information that you need. There is no need to pre-define a schema or change a schema if new data is added later. And scale-out is as simple as creating new domains, rather than building out new servers.
        MySQL
        The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
        Amazon S3
        Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
        See all alternatives