StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Azure SQL Database vs DigitalOcean Managed Databases

Azure SQL Database vs DigitalOcean Managed Databases

OverviewComparisonAlternatives

Overview

Azure SQL Database
Azure SQL Database
Stacks585
Followers502
Votes13
DigitalOcean Managed Databases
DigitalOcean Managed Databases
Stacks64
Followers67
Votes0

Azure SQL Database vs DigitalOcean Managed Databases: What are the differences?

Introduction: In this comparison, we will explore the key differences between Azure SQL Database and DigitalOcean Managed Databases.

  1. Deployment Options: Azure SQL Database provides a variety of deployment options including single databases, elastic pools for managing multiple databases, and managed instances for compatibility with on-premises SQL Server. DigitalOcean Managed Databases, on the other hand, offers managed databases for PostgreSQL, MySQL, and Redis with options for high availability and automatic backups.

  2. Cloud Provider Integration: Azure SQL Database is tightly integrated with other Azure services like Azure Active Directory, Azure Monitor, and Azure Security Center, providing a seamless cloud ecosystem for developers. In contrast, DigitalOcean Managed Databases are designed to work within the DigitalOcean cloud infrastructure, offering simplicity and ease of use for users focused on specific databases.

  3. Scalability and Performance: Azure SQL Database offers flexible scalability options such as scaling compute and storage independently, allowing users to adjust resources based on workload requirements. DigitalOcean Managed Databases provide vertical scaling for increasing server resources but have limitations compared to the extensive scalability options offered by Azure SQL Database.

  4. Cost Management: Azure SQL Database pricing is based on a combination of compute resources, storage, and optional features, providing a more granular approach to cost management. DigitalOcean Managed Databases offer straightforward pricing models based on the selected database engine and server configurations, simplifying cost estimation and budgeting for users.

  5. Global Availability: Azure SQL Database is available in multiple regions worldwide, enabling users to deploy databases closer to their customers for reduced latency and improved performance. DigitalOcean Managed Databases have a more limited geographic availability, primarily located in regions where DigitalOcean data centers are situated.

  6. Advanced Features: Azure SQL Database offers advanced features like built-in intelligence, threat detection, and transparent data encryption for enhanced security and performance optimizations. DigitalOcean Managed Databases focus on simplicity and ease of use, offering essential features needed to run and manage databases efficiently without additional complexity.

In Summary, Azure SQL Database provides a comprehensive set of features with deep integration into the Azure ecosystem, while DigitalOcean Managed Databases offer simplicity, ease of use, and cost-effective options for users focused on specific database requirements.

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)
or
Manual

Detailed Comparison

Azure SQL Database
Azure SQL Database
DigitalOcean Managed Databases
DigitalOcean Managed Databases

It is the intelligent, scalable, cloud database service that provides the broadest SQL Server engine compatibility and up to a 212% return on investment. It is a database service that can quickly and efficiently scale to meet demand, is automatically highly available, and supports a variety of third party software.

Build apps and store data in minutes with easy access to one or more databases and sleep better knowing your data is backed up and optimized.

-
Multi-node database clustering;Automated failover support;Daily backups with Point in Time Recovery (7 days);Horizontal read scaling;Data encrypted on disk and network;Performance graphs (per minute);Multiple logical databases per cluster;Database cluster forks;Connection pooling;One-click upgrades to new versions;Seamless switching of plans and regions;All Regions except AMS2, NYC2, SFO1 and SGP1
Statistics
Stacks
585
Stacks
64
Followers
502
Followers
67
Votes
13
Votes
0
Pros & Cons
Pros
  • 6
    Managed
  • 4
    Secure
  • 3
    Scalable
No community feedback yet

What are some alternatives to Azure SQL Database, DigitalOcean Managed Databases?

MongoDB

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.

MySQL

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.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Amazon RDS

Amazon RDS

Amazon RDS gives you access to the capabilities of a familiar MySQL, Oracle or Microsoft SQL Server database engine. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your Database Instance (DB Instance) via a single API call.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase