Heroku Postgres vs Microsoft SQL Server

Overview

Microsoft SQL Server

Stacks21.3K

Followers15.5K

Votes540

Heroku Postgres

Stacks607

Followers314

Votes38

Heroku Postgres vs Microsoft SQL Server: What are the differences?

Storage and Scalability: Heroku Postgres is a cloud-based database service that offers flexibility and scalability in terms of storage capacity, allowing users to easily upgrade their plans as their data storage needs grow, while Microsoft SQL Server may have more limitations in terms of scalability due to being on-premises or cloud-based with more finite storage options.
Cost Structure: Heroku Postgres typically follows a pay-as-you-go pricing model, where users are charged based on usage, while Microsoft SQL Server may require upfront licensing fees and additional costs for maintenance and support.
Ease of Use: Heroku Postgres is known for its user-friendly interface and simple setup process, making it ideal for developers who prefer a hassle-free database solution, whereas Microsoft SQL Server may have a steeper learning curve and require more technical expertise to set up and maintain.
Integration with Other Services: Heroku Postgres integrates seamlessly with other Heroku services and third-party applications, allowing for a more connected and collaborative workflow, while Microsoft SQL Server may have more limited integration options and may require additional development work to connect to external services.
Security Features: Heroku Postgres offers a range of built-in security features, such as data encryption and access controls, to ensure data protection and compliance with industry regulations, whereas Microsoft SQL Server may require additional configurations and precautions to achieve the same level of security.
Support and Maintenance: Heroku Postgres includes support and maintenance as part of its service package, providing users with 24/7 assistance and regular updates, whereas Microsoft SQL Server may require dedicated IT resources for maintenance and support, adding to the overall cost and complexity of the database system.

In Summary, Heroku Postgres and Microsoft SQL Server differ in terms of storage scalability, cost structure, ease of use, integration capabilities, security features, and support and maintenance options.

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Advice on Microsoft SQL Server, Heroku Postgres

Erin

IT Specialist

Mar 10, 2020

Needs adviceon

Microsoft SQL Server

MySQL

PostgreSQL

I am a Microsoft SQL Server programmer who is a bit out of practice. I have been asked to assist on a new project. The overall purpose is to organize a large number of recordings so that they can be searched. I have an enormous music library but my songs are several hours long. I need to include things like time, date and location of the recording. I don't have a problem with the general database design. I have two primary questions:

I need to use either @{MySQL}|tool:1025| or @{PostgreSQL}|tool:1028| on a @{Linux}|tool:10483| based OS. Which would be better for this application?
I have not dealt with a sound based data type before. How do I store that and put it in a table? Thank you.

668k views668k

Comments

Jorge

Jan 15, 2020

Needs advice

Considering moving part of our PostgreSQL database infrastructure to the cloud, however, not quite sure between AWS, Heroku, Azure and Google cloud. Things to consider: The main reason is for backing up and centralize all our data in the cloud. With that in mind the main elements are: -Pricing for storage. -Small team. -No need for high throughput. -Support for docker swarm and Kubernetes.

51.8k views51.8k

Comments

Detailed Comparison

Microsoft SQL Server	Heroku Postgres
Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.	Heroku Postgres provides a SQL database-as-a-service that lets you focus on building your application instead of messing around with database management.
-	High Availability;Rollback;Dataclips;Automated Health Checks
Statistics
Stacks 21.3K	Stacks 607
Followers 15.5K	Followers 314
Votes 540	Votes 38
Pros & Cons
Pros 139 Reliable and easy to use 101 High performance 95 Great with .net 65 Works well with .net 56 Easy to maintain Cons 4 Expensive Licensing 2 Microsoft 1 Allwayon can loose data in asycronious mode 1 Data pages is only 8k 1 The maximum number of connections is only 14000 connect	Pros 29 Easy to setup 3 Extremely reliable 3 Dataclips for sharing queries 3 Follower databases Cons 2 Super expensive
Integrations
No integrations available	PostgreSQL Heroku

What are some alternatives to Microsoft SQL Server, Heroku Postgres?

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

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 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.

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

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 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

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 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.

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

Related Comparisons

Heroku Postgres vs Microsoft SQL Server: What are the differences?

Storage and Scalability: Heroku Postgres is a cloud-based database service that offers flexibility and scalability in terms of storage capacity, allowing users to easily upgrade their plans as their data storage needs grow, while Microsoft SQL Server may have more limitations in terms of scalability due to being on-premises or cloud-based with more finite storage options.
Cost Structure: Heroku Postgres typically follows a pay-as-you-go pricing model, where users are charged based on usage, while Microsoft SQL Server may require upfront licensing fees and additional costs for maintenance and support.
Ease of Use: Heroku Postgres is known for its user-friendly interface and simple setup process, making it ideal for developers who prefer a hassle-free database solution, whereas Microsoft SQL Server may have a steeper learning curve and require more technical expertise to set up and maintain.
Integration with Other Services: Heroku Postgres integrates seamlessly with other Heroku services and third-party applications, allowing for a more connected and collaborative workflow, while Microsoft SQL Server may have more limited integration options and may require additional development work to connect to external services.
Security Features: Heroku Postgres offers a range of built-in security features, such as data encryption and access controls, to ensure data protection and compliance with industry regulations, whereas Microsoft SQL Server may require additional configurations and precautions to achieve the same level of security.
Support and Maintenance: Heroku Postgres includes support and maintenance as part of its service package, providing users with 24/7 assistance and regular updates, whereas Microsoft SQL Server may require dedicated IT resources for maintenance and support, adding to the overall cost and complexity of the database system.

Heroku Postgres vs Microsoft SQL Server

Overview