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Azure Cosmos DB VS YDB

Compare Azure Cosmos DB VS YDB and see what are their differences

Azure Cosmos DB logo Azure Cosmos DB

NoSQL JSON database for rapid, iterative app development.

YDB logo YDB

YDB is an open source Distributed SQL Database that combines high availability and scalability with strong consistency and ACID transactions.
  • Azure Cosmos DB Landing page
    Landing page //
    2023-03-16
Not present

Azure Cosmos DB features and specs

  • Global Distribution
    Azure Cosmos DB allows for the distribution of data across multiple global regions, enhancing availability and delivering low-latency access to data for users around the world.
  • Multi-Model Support
    It supports multiple data models including document, graph, key-value, and column-family APIs, making it versatile for a variety of applications and use cases.
  • Automatic Scaling
    The database automatically scales up and down to meet the demands of application traffic, helping to manage workloads efficiently without manual intervention.
  • High Throughput and Low Latency
    Cosmos DB offers high performance with single-digit millisecond read and write latencies, ensuring fast access to data for applications.
  • Comprehensive SLAs
    Azure Cosmos DB provides industry-leading SLAs covering availability, throughput, consistency, and latency, offering strong guarantees for customers.
  • Integrated Security
    It includes robust security features such as SSL/TLS encryption, role-based access control, and integration with Azure Active Directory for secure data management.

Possible disadvantages of Azure Cosmos DB

  • Cost
    Azure Cosmos DB can be expensive, especially for high-throughput workloads and global distribution scenarios. Its pricing model based on provisioned throughput (RU/s) can add up quickly.
  • Complexity
    Managing and optimizing Cosmos DB can be complex, requiring a deep understanding of its configuration settings, partitioning strategies, and indexing to achieve optimal performance.
  • Vendor Lock-In
    As a proprietary service, using Cosmos DB tightly couples your application to Azure. This can make it difficult to migrate to other database solutions or cloud providers in the future.
  • Consistency Models
    Azure Cosmos DB supports multiple consistency levels which can introduce complexity in designing applications. Developers need to understand and choose the appropriate consistency level for their specific use case.
  • Limited Native Analytics
    Cosmos DB does not have built-in advanced analytics capabilities. Integrating with other services like Azure Synapse or Databricks may be necessary for sophisticated data analytics and reporting.

YDB features and specs

  • Scalability
    YDB is designed to handle large-scale applications with ease, providing horizontal scalability and the ability to process massive volumes of data efficiently.
  • Consistency
    YDB offers strong ACID transactional guarantees, making it suitable for applications where data consistency is crucial.
  • Distributed Architecture
    Its architecture allows for seamless distribution of data across multiple nodes, improving fault tolerance and availability.
  • Support for SQL
    YDB supports SQL queries, providing a familiar interface for developers who are accustomed to relational databases.
  • Multi-model Capabilities
    It supports multiple data models, including relational and key-value, making it versatile for different application needs.

Possible disadvantages of YDB

  • Complexity
    The use of advanced distributed systems concepts might make YDB more complex to configure and manage, requiring a steep learning curve for new users.
  • Resource Intensive
    The infrastructure requirements for running YDB efficiently can be significant, especially in terms of hardware and networking resources.
  • Limited Community Support
    As a relatively new technology, YDB may have limited community support and fewer third-party resources compared to more established databases.
  • Vendor Lock-in
    Users of YDB might face potential vendor lock-in, as migrating to other database solutions could be challenging due to specific YDB features or architectures used.
  • Evolving Ecosystem
    YDB is still evolving, and while updates can bring improvements, they might also introduce instability or require adjustments in application design.

Azure Cosmos DB videos

Azure Cosmos DB: Comprehensive Overview

More videos:

  • Review - Azure Friday | Azure Cosmos DB with Scott Hanselman
  • Tutorial - Azure Cosmos DB Tutorial | Globally distributed NoSQL database

YDB videos

YDB Tries Von Payne Black #bourbon #whiskey #happyhour #shorts #review

More videos:

  • Review - YOUNG DIRTY BASTARD HONORS FATHER OL' DIRTY BASTARD WITH YDB YOUNG DIRTY BREW HONEY ALE #YDB

Category Popularity

0-100% (relative to Azure Cosmos DB and YDB)
Databases
90 90%
10% 10
NoSQL Databases
88 88%
12% 12
Graph Databases
100 100%
0% 0
Relational Databases
65 65%
35% 35

User comments

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Social recommendations and mentions

Based on our record, Azure Cosmos DB should be more popular than YDB. It has been mentiond 9 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Azure Cosmos DB mentions (9)

  • Blazor server app, deployment options
    If you are writing the code maybe consider learning Cosmos DB it’s pretty easy to work with and there is a free tier. Also in my experience it’s much faster than a SQL database. Source: almost 2 years ago
  • Infrastructure as code (IaC) for Java-based apps on Azure
    Sometimes you don’t need an entire Java-based microservice. You can build serverless APIs with the help of Azure Functions. For example, Azure functions have a bunch of built-in connectors like Azure Event Hubs to process event-driven Java code and send the data to Azure Cosmos DB in real-time. FedEx and UBS projects are great examples of real-time, event-driven Java. I also recommend you to go through 👉 Code,... - Source: dev.to / over 2 years ago
  • Deploying a Mostly Serverless Website on GCP
    When debating the database solution for our application we were really seeking for a scalable serverless database that wouldn’t bill us for idle time. Options like AWS Athena, AWS Aurora Serverless, and Azure Cosmos DB immediately came to mind. We believed that GCP would have a comparable service, yet we could not find one. Even after consulting the GCP cloud service comparison documentation we were still unable... - Source: dev.to / almost 3 years ago
  • Which DB to use for API published on Azure?
    If you are looking for one to start with; you can try Cosmos: https://azure.microsoft.com/en-us/services/cosmos-db/. Source: about 3 years ago
  • Basic Setup for Azure Cosmos DB and Example Node App
    I have had an opportunity to work on a project that uses Azure Cosmos DB with the MongDB API as the backend database. I wanted to spend a little more time on my own understanding how to perform basic setup and a simple set of CRUD operations from a Node application, as well as construct an easy-to-follow procedure for other developers. - Source: dev.to / about 3 years ago
View more

YDB mentions (2)

  • ScyllaDB no longer open source
    I wonder if this means YDB (from the devs of Clickhouse) will get some traction (https://ydb.tech/) or if there are other massive scale scylladb-types of DB's out there. - Source: Hacker News / 4 months ago
  • Erasure Coding versus Tail Latency
    There https://ydb.tech/ open source db that uses erasure coding for replication in single zone/region. - Source: Hacker News / about 1 year ago

What are some alternatives?

When comparing Azure Cosmos DB and YDB, you can also consider the following products

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.

CouchDB - HTTP + JSON document database with Map Reduce views and peer-based replication