Azure Cosmos DB vs Minio

Overview

Azure Cosmos DB

Stacks594

Followers1.1K

Votes130

Minio

Stacks638

Followers670

Votes43

GitHub Stars57.8K

Forks6.4K

Azure Cosmos DB vs Minio: What are the differences?

Azure Cosmos DB: 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; Minio: AWS S3 open source alternative written in Go. Minio is an object storage server compatible with Amazon S3 and licensed under Apache 2.0 License.

Azure Cosmos DB and Minio are primarily classified as "NoSQL Database as a Service" and "Cloud Storage" tools respectively.

Minio is an open source tool with 16.9K GitHub stars and 1.59K GitHub forks. Here's a link to Minio's open source repository on GitHub.

Microsoft, Property With Potential, and Rumble are some of the popular companies that use Azure Cosmos DB, whereas Minio is used by AgFlow, codebeat, and Minio. Azure Cosmos DB has a broader approval, being mentioned in 24 company stacks & 24 developers stacks; compared to Minio, which is listed in 19 company stacks and 12 developer stacks.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs

CLI (Node.js)

Manual

Detailed Comparison

Azure Cosmos DB	Minio
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.	Minio is an object storage server compatible with Amazon S3 and licensed under Apache 2.0 License
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
GitHub Stars -	GitHub Stars 57.8K
GitHub Forks -	GitHub Forks 6.4K
Stacks 594	Stacks 638
Followers 1.1K	Followers 670
Votes 130	Votes 43
Pros & Cons
Pros 28 Best-of-breed NoSQL features 22 High scalability 15 Globally distributed 14 Automatic indexing over flexible json data model 10 Tunable consistency Cons 18 Pricing 4 Poor No SQL query support	Pros 10 Store and Serve Resumes & Job Description PDF, Backups 8 S3 Compatible 4 Simple 4 Open Source 3 Encryption and Tamper-Proof Cons 3 Deletion of huge buckets is not possible
Integrations
Azure Machine Learning MongoDB Hadoop Java Azure Functions Azure Container Service Azure Storage Azure Websites Apache Spark Python	Amazon S3

What are some alternatives to Azure Cosmos DB, Minio?

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

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

Amazon EBS

Amazon EBS volumes are network-attached, and persist independently from the life of an instance. Amazon EBS provides highly available, highly reliable, predictable storage volumes that can be attached to a running Amazon EC2 instance and exposed as a device within the instance. Amazon EBS is particularly suited for applications that require a database, file system, or access to raw block level storage.

Google Cloud Storage

Google Cloud Storage allows world-wide storing and retrieval of any amount of data and at any time. It provides a simple programming interface which enables developers to take advantage of Google's own reliable and fast networking infrastructure to perform data operations in a secure and cost effective manner. If expansion needs arise, developers can benefit from the scalability provided by Google's infrastructure.

Azure Storage

Azure Storage provides the flexibility to store and retrieve large amounts of unstructured data, such as documents and media files with Azure Blobs; structured nosql based data with Azure Tables; reliable messages with Azure Queues, and use SMB based Azure Files for migrating on-premises applications to the cloud.

OpenEBS

OpenEBS allows you to treat your persistent workload containers, such as DBs on containers, just like other containers. OpenEBS itself is deployed as just another container on your host.

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 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.

Rackspace Cloud Files

Cloud Files, powered by OpenStack®, provides an easy to use online storage for files and media which can be delivered globally at blazing speeds over Akamai's content delivery network (CDN).