Post­gr­eSQL is a very popular and versatile object-re­la­tion­al database, known es­pe­cially for its strong security ar­chi­tec­ture and high flex­ib­il­ity. However, there are projects where other options may be a better fit. Here are six of the best al­tern­at­ives or additions to Post­gr­eSQL.

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What is Post­gr­eSQL and what al­tern­at­ives are there?

The origins of the object-re­la­tion­al database Post­gr­eSQL go back to the 1980s. In 1996, the ACID-compliant database man­age­ment system was of­fi­cially released for the first time. Today, it is licensed under the Post­gr­eSQL License and con­tinu­ously developed by an active open-source community. What makes Post­gr­eSQL a popular choice for countless companies, in­sti­tu­tions, and projects is not only its long history and dedicated community. The system is con­sidered extremely secure and robust. Although it relies on a classic table structure, it is highly flexible thanks to numerous ex­ten­sions and can be scaled on a large scale. Its well-designed client-server ar­chi­tec­ture also allows this free solution to compete with many com­mer­cial databases.

Overall, Post­gr­eSQL is con­sidered a very flexible choice that is also com­pat­ible with many NoSQL solutions, allowing it to be combined with them. Its open-source nature gives the database many strong ad­vant­ages. However, there may be situ­ations or projects where another system is an even better fit—es­pe­cially if you want to work in a non-re­la­tion­al way. Ad­di­tion­ally, the per­form­ance of Post­gr­eSQL is not quite as strong as that of some other solutions. On top of that, getting started can be par­tic­u­larly chal­len­ging for beginners. If you’re looking for an al­tern­at­ive to Post­gr­eSQL, here are six com­pel­ling options to consider.

MongoDB—The best NoSQL database for large amounts of data

Arguably the most versatile database available today is MongoDB. The pro­pri­et­ary NoSQL solution, which owes its name to the word ‘humongous’, has been around since 2009. Designed to ac­com­mod­ate growing data volumes, MongoDB is trusted by major companies like eBay or Toyota.

If you’d like to learn more about the sim­il­ar­it­ies and dif­fer­ences between Post­gr­eSQL and MongoDB, you can find a detailed com­par­is­on in our Digital Guide.

What are the benefits of MongoDB?

  • The­or­et­ic­ally in­fin­itely scalable
  • Flexible thanks to numerous features
  • Can manage and store many different types of data
  • High re­li­ab­il­ity and avail­ab­il­ity
  • Com­pat­ible with many languages, systems and platforms
  • Quick to get started
  • One of the most suc­cess­ful NoSQL databases with a large community
Tip: Managed MongoDB from IONOS

Managed MongoDB from IONOS enables you to con­cen­trate on the es­sen­tials. From in­stall­a­tion to operation and main­ten­ance work, IONOS makes sure you always get the best per­form­ance from your data banks.

MariaDB—The modern MySQL al­tern­at­ive with future potential

MariaDB was developed as a direct response to Oracle’s ac­quis­i­tion of MySQL, with the goal of providing a free and advanced database solution. Since 2009, this open-source fork of MySQL has not only offered full com­pat­ib­il­ity with the original but has often gone a step further tech­no­lo­gic­ally in direct com­par­is­ons like MariaDB vs MySQL.

MariaDB stands out with regular updates, high per­form­ance, and a wide range of storage engines—including ones designed for ana­lyt­ic­al use cases. The database is suitable for both tra­di­tion­al web ap­plic­a­tions and complex business ap­plic­a­tions. Major or­gan­isa­tions like Mozilla have relied on MariaDB for years.

What are the benefits of MariaDB?

  • Open source with in­de­pend­ent de­vel­op­ment
  • Fully com­pat­ible with MySQL
  • Suitable for both op­er­a­tion­al and ana­lyt­ic­al data pro­cessing
  • Fast query handling and high re­li­ab­il­ity
  • SQL support and cross-platform usability
  • No vendor lock-in
  • Large community and active ongoing de­vel­op­ment

DynamoDB—The fully managed database from Amazon

If you’re after an al­tern­at­ive to Post­gr­eSQL that’s beginner-friendly, DynamoDB fits the bill. Developed by Amazon and a part of the AWS portfolio since 2012, this server­less NoSQL solution is fully managed, so you don’t have to worry about upgrades or scaling. The security ar­chi­tec­ture comes pre­con­figured and is regularly updated. Usage-based billing makes DynamoDB suitable for busi­nesses of all sizes. With high avail­ab­il­ity and low latency, it’s a com­pel­ling choice. However, in­teg­ra­tion with AWS means you have to rely on Amazon’s ecosystem.

What are the benefits of DynamoDB?

  • Very user-friendly thanks to ad­min­is­tra­tion
  • High level of security
  • Unlimited scalab­il­ity
  • Payment according to usage
  • Good per­form­ance and high speed
  • Embedded in the AWS ecosystem
  • High avail­ab­il­ity

Redis—The quick addition or al­tern­at­ive to Post­gr­eSQL

If Post­gr­eSQL’s slight speed short­com­ings are a concern, Redis is a com­pel­ling addition to your database setup. You can also use it as an al­tern­at­ive to Post­gr­eSQL. This NoSQL database stores data in memory, de­liv­er­ing response times of under one mil­li­second. Ideal for real-time analyses, messaging and ad­min­is­trat­ive tasks, Redis shines in tasks that pri­or­it­ise low latency over massive data volumes. While it can scale both ho­ri­zont­ally and ver­tic­ally, its strength lies in speed rather than data volume. As a user-friendly solution offering minimal latency, Redis is widely regarded as one of the world’s most popular key-value stores.

What are the benefits of Redis?

  • Open source
  • Out­stand­ing per­form­ance thanks to in-memory storage
  • Response times of under one mil­li­second
  • Perfectly suited for real-time analysis
  • Can be combined with Post­gr­eSQL
  • Ho­ri­zont­ally and ver­tic­ally scalable
  • Very user-friendly
  • Com­pat­ible with many languages, platforms and systems

Apache Cassandra—The column-based NoSQL option

Apache Cassandra is a column-oriented NoSQL database designed for handling large and het­ero­gen­eous data sets. The system, which has been under de­vel­op­ment since 2008, is open source and features CQL, a query language based on SQL, fa­cil­it­at­ing a smooth trans­ition from Post­gr­eSQL. Praised for its ro­bust­ness, Cassandra ensures high avail­ab­il­ity across multiple nodes, making it highly reliable. Im­press­ive query speeds are achieved without com­prom­ising system security. Embraced by major cor­por­a­tions like Apple and Netflix, Cassandra offers partially ACID-compliant, flexible and easily scalable solutions for en­ter­prise-level ap­plic­a­tions and platforms.

What are the benefits of Apache Cassandra?

  • Open source
  • Ho­ri­zont­ally and ver­tic­ally scalable and suitable for large data volumes
  • CQL is similar to SQL, which makes querying easy
  • High avail­ab­il­ity and re­li­ab­il­ity
  • Partially ACID-compliant (Atomicity, Con­sist­ency, Isolation, Dur­ab­il­ity)
  • Flexible and versatile
  • Strong per­form­ance and high speed

MySQL—The re­la­tion­al solution from Oracle

Since Oracle acquired MySQL in 2010, many users have switched to al­tern­at­ives like Post­gr­eSQL. Nev­er­the­less, this re­la­tion­al database is still con­sidered a powerful solution for storing struc­tured data in table form. MySQL is highly reliable and can handle large volumes of data ef­fi­ciently. It offers various scaling options and numerous in­ter­faces. The system is also very clear and easy to un­der­stand, even for beginners. An active community and extensive doc­u­ment­a­tion are available as well. Switching from Post­gr­eSQL is re­l­at­ively straight­for­ward thanks to the shared query language SQL, and the database’s per­form­ance is im­press­ive. In addition to the free version, pro­pri­et­ary editions are also available.

What are the benefits of MySQL?

  • Open source
  • Very clear and easy to learn
  • Also suitable for large amounts of data
  • Fail-safe and fast
  • High avail­ab­il­ity
  • Com­pat­ible with numerous systems, platforms, and languages
  • Part of the LAMP stack (Linux, Apache, MySQL and PHP)
  • Query language known from Post­gr­eSQL
  • Large community and extensive doc­u­ment­a­tion

We’ve already covered the sim­il­ar­it­ies and dif­fer­ences between MySQL and Post­gr­eSQL in detail in our Digital Guide.

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