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  1. Stackups
  2. Application & Data
  3. Document Databases
  4. Mongodb Hosting
  5. Azure Cosmos DB vs Compose

Azure Cosmos DB vs Compose

OverviewComparisonAlternatives

Overview

Compose
Compose
Stacks258
Followers121
Votes206
Azure Cosmos DB
Azure Cosmos DB
Stacks594
Followers1.1K
Votes130

Azure Cosmos DB vs Compose: What are the differences?

Developers describe Azure Cosmos DB as "A fully-managed, globally distributed NoSQL database service". 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. On the other hand, Compose is detailed as "We host databases for busy devs: production-ready, cloud-hosted, open source". Compose makes it easy to spin up multiple open source databases with just one click. Deploy MongoDB for production, take Redis out for a performance test drive, or spin up RethinkDB in development before rolling it out to production.

Azure Cosmos DB can be classified as a tool in the "NoSQL Database as a Service" category, while Compose is grouped under "MongoDB Hosting".

Some of the features offered by Azure Cosmos DB are:

  • Fully managed with 99.99% Availability SLA
  • Elastically and highly scalable (both throughput and storage)
  • Predictable low latency: <10ms @ P99 reads and <15ms @ P99 fully-indexed writes

On the other hand, Compose provides the following key features:

  • One click, production-ready, cloud hosted MongoDB, Redis, Elasticsearch, PostgreSQL and RethinkDB, with additional databases in beta.

Every deployment features: database autoscaling based on data size usage

  • private VLAN, IP whitelisting, SSL, full-stack monitoring, custom alerts
  • HA and fault tolerance with automatic failover

"Best-of-breed NoSQL features" is the primary reason why developers consider Azure Cosmos DB over the competitors, whereas "Simple to set up" was stated as the key factor in picking Compose.

According to the StackShare community, Compose has a broader approval, being mentioned in 82 company stacks & 19 developers stacks; compared to Azure Cosmos DB, which is listed in 24 company stacks and 24 developer stacks.

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Detailed Comparison

Compose
Compose
Azure Cosmos DB
Azure Cosmos DB

Compose makes it easy to spin up multiple open source databases with just one click. Deploy MongoDB for production, take Redis out for a performance test drive, or spin up RethinkDB in development before rolling it out to production.

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.

One click, production-ready, cloud hosted MongoDB, Redis, Elasticsearch, PostgreSQL and RethinkDB, with additional databases in beta. Every deployment features: database autoscaling based on data size usage; private VLAN, IP whitelisting, SSL, full-stack monitoring, custom alerts; HA and fault tolerance with automatic failover; enterprise-grade SSD; easy to add plugins including New Relic; daily, weekly and monthly backups at no additional cost; availability on multiple data centers; a global support team to troubleshoot problems quickly; dedicated servers available.
Fully managed with 99.99% Availability SLA;Elastically and highly scalable (both throughput and storage);Predictable low latency: <10ms @ P99 reads and <15ms @ P99 fully-indexed writes;Globally distributed with multi-region replication;Rich SQL queries over schema-agnostic automatic indexing;JavaScript language integrated multi-record ACID transactions with snapshot isolation;Well-defined tunable consistency models: Strong, Bounded Staleness, Session, and Eventual
Statistics
Stacks
258
Stacks
594
Followers
121
Followers
1.1K
Votes
206
Votes
130
Pros & Cons
Pros
  • 42
    Simple to set up
  • 32
    One-click mongodb
  • 29
    Automated Backups
  • 23
    Designed to scale
  • 21
    Easy interface
Pros
  • 28
    Best-of-breed NoSQL features
  • 22
    High scalability
  • 15
    Globally distributed
  • 14
    Automatic indexing over flexible json data model
  • 10
    Always on with 99.99% availability sla
Cons
  • 18
    Pricing
  • 4
    Poor No SQL query support
Integrations
SoftLayer
SoftLayer
Heroku
Heroku
Amazon EC2
Amazon EC2
DigitalOcean
DigitalOcean
Azure Machine Learning
Azure Machine Learning
MongoDB
MongoDB
Hadoop
Hadoop
Java
Java
Azure Functions
Azure Functions
Azure Container Service
Azure Container Service
Azure Storage
Azure Storage
Azure Websites
Azure Websites
Apache Spark
Apache Spark
Python
Python

What are some alternatives to Compose, Azure Cosmos DB?

MongoLab

MongoLab

mLab is the largest cloud MongoDB service in the world, hosting over a half million deployments on AWS, Azure, and Google.

Amazon DynamoDB

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.

Cloud Firestore

Cloud Firestore

Cloud Firestore is a NoSQL document database that lets you easily store, sync, and query data for your mobile and web apps - at global scale.

MongoDB Atlas

MongoDB Atlas

MongoDB Atlas is a global cloud database service built and run by the team behind MongoDB. Enjoy the flexibility and scalability of a document database, with the ease and automation of a fully managed service on your preferred cloud.

Cloudant

Cloudant

Cloudant’s distributed database as a service (DBaaS) allows developers of fast-growing web and mobile apps to focus on building and improving their products, instead of worrying about scaling and managing databases on their own.

Google Cloud Bigtable

Google Cloud Bigtable

Google Cloud Bigtable offers you a fast, fully managed, massively scalable NoSQL database service that's ideal for web, mobile, and Internet of Things applications requiring terabytes to petabytes of data. Unlike comparable market offerings, Cloud Bigtable doesn't require you to sacrifice speed, scale, or cost efficiency when your applications grow. Cloud Bigtable has been battle-tested at Google for more than 10 years—it's the database driving major applications such as Google Analytics and Gmail.

ObjectRocket

ObjectRocket

Fast, scalable, and reliably-managed Mongo DB, Redis, Elasticsearch, PostgreSQL, CockroachDB and TimescaleDB. An easy to use DBaaS (database as a service) platform on private or public cloud. Complete DB Management & Administration.

Google Cloud Datastore

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.

CloudBoost

CloudBoost

CloudBoost.io is a database service for the “next web” - that not only does data-storage, but also search, real-time and a whole lot more which enables developers to build much richer apps with 50% less time saving them a ton of cost and helping them go to market much faster.

Firebase Realtime Database

Firebase Realtime Database

It is a cloud-hosted NoSQL database that lets you store and sync data between your users in realtime. Data is synced across all clients in realtime, and remains available when your app goes offline.

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