H2 Database vs Microsoft SQL Server

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H2 Database vs Microsoft SQL Server: What are the differences?

What is H2 Database? A relational database management system written in Java. It is a relational database management system written in Java. It can be embedded in Java applications or run in client-server mode.

What is Microsoft SQL Server? A relational database management system developed by Microsoft. Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

H2 Database and Microsoft SQL Server belong to "Databases" category of the tech stack.

According to the StackShare community, Microsoft SQL Server has a broader approval, being mentioned in 697 company stacks & 2723 developers stacks; compared to H2 Database, which is listed in 9 company stacks and 19 developer stacks.

Advice on H2 Database and Microsoft SQL Server

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:

  1. I need to use either MySQL or PostgreSQL on a Linux based OS. Which would be better for this application?
  2. I have not dealt with a sound based data type before. How do I store that and put it in a table? Thank you.
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Replies (6)

Hi Erin,

Honestly both databases will do the job just fine. I personally prefer Postgres.

Much more important is how you store the audio. While you could technically use a blob type column, it's really not ideal to be storing audio files which are "several hours long" in a database row. Instead consider storing the audio files in an object store (hosted options include backblaze b2 or aws s3) and persisting the key (which references that object) in your database column.

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Aaron Westley
Recommends
PostgreSQLPostgreSQL

Hi Erin, Chances are you would want to store the files in a blob type. Both MySQL and Postgres support this. Can you explain a little more about your need to store the files in the database? I may be more effective to store the files on a file system or something like S3. To answer your qustion based on what you are descibing I would slighly lean towards PostgreSQL since it tends to be a little better on the data warehousing side.

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Julien DeFrance
Principal Software Engineer at Tophatter · | 3 upvotes · 226.4K views
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Amazon AuroraAmazon Aurora

Hi Erin! First of all, you'd probably want to go with a managed service. Don't spin up your own MySQL installation on your own Linux box. If you are on AWS, thet have different offerings for database services. Standard RDS vs. Aurora. Aurora would be my preferred choice given the benefits it offers, storage optimizations it comes with... etc. Such managed services easily allow you to apply new security patches and upgrades, set up backups, replication... etc. Doing this on your own would either be risky, inefficient, or you might just give up. As far as which database to chose, you'll have the choice between Postgresql, MySQL, Maria DB, SQL Server... etc. I personally would recommend MySQL (latest version available), as the official tooling for it (MySQL Workbench) is great, stable, and moreover free. Other database services exist, I'd recommend you also explore Dynamo DB.

Regardless, you'd certainly only keep high-level records, meta data in Database, and the actual files, most-likely in S3, so that you can keep all options open in terms of what you'll do with them.

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Christopher Wray
Web Developer at Soltech LLC · | 3 upvotes · 226.8K views

Hey Erin! I would recommend checking out Directus before you start work on building your own app for them. I just stumbled upon it, and so far extremely happy with the functionalities. If your client is just looking for a simple web app for their own data, then Directus may be a great option. It offers "database mirroring", so that you can connect it to any database and set up functionality around it!

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PostgreSQLPostgreSQL

Hi Erin,

  • Coming from "Big" DB engines, such as Oracle or MSSQL, go for PostgreSQL. You'll get all the features you need with PostgreSQL.
  • Your case seems to point to a "NoSQL" or Document Database use case. Since you get covered on this with PostgreSQL which achieves excellent performances on JSON based objects, this is a second reason to choose PostgreSQL. MongoDB might be an excellent option as well if you need "sharding" and excellent map-reduce mechanisms for very massive data sets. You really should investigate the NoSQL option for your use case.
  • Starting with AWS Aurora is an excellent advise. since "vendor lock-in" is limited, but I did not check for JSON based object / NoSQL features.
  • If you stick to Linux server, the PostgreSQL or MySQL provided with your distribution are straightforward to install (i.e. apt install postgresql). For PostgreSQL, make sure you're comfortable with the pg_hba.conf, especially for IP restrictions & accesses.

Regards,

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Klaus Nji
Staff Software Engineer at SailPoint Technologies · | 1 upvotes · 226.5K views
Recommends
PostgreSQLPostgreSQL

I recommend Postgres as well. Superior performance overall and a more robust architecture.

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Pros of H2 Database
Pros of Microsoft SQL Server
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    • 139
      Reliable and easy to use
    • 102
      High performance
    • 95
      Great with .net
    • 65
      Works well with .net
    • 56
      Easy to maintain
    • 21
      Azure support
    • 17
      Always on
    • 17
      Full Index Support
    • 10
      Enterprise manager is fantastic
    • 9
      In-Memory OLTP Engine
    • 2
      Security is forefront
    • 1
      Columnstore indexes
    • 1
      Great documentation
    • 1
      Faster Than Oracle
    • 1
      Decent management tools
    • 1
      Easy to setup and configure
    • 1
      Docker Delivery

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    Cons of H2 Database
    Cons of Microsoft SQL Server
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      • 4
        Expensive Licensing
      • 2
        Microsoft

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      What is H2 Database?

      It is a relational database management system written in Java. It can be embedded in Java applications or run in client-server mode.

      What is Microsoft SQL Server?

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

      Need advice about which tool to choose?Ask the StackShare community!

      Jobs that mention H2 Database and Microsoft SQL Server as a desired skillset
      Pinterest
      San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US
      Pinterest
      San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US
      CBRE
      United States of America Texas Richardson
      CBRE
      United States of America Texas Richardson
      CBRE
      United States of America Texas Richardson
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      Philippines National Capital Region Makati City
      What companies use H2 Database?
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      What tools integrate with H2 Database?
      What tools integrate with Microsoft SQL Server?

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      What are some alternatives to H2 Database and Microsoft SQL Server?
      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.
      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.
      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.
      HSQLDB
      It offers a small, fast multi-threaded and transactional database engine with in-memory and disk-based tables and supports embedded and server modes. It includes a powerful command line SQL tool and simple GUI query tools.
      Oracle
      Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.
      See all alternatives