There are a few reasons why open source databases are the most popular. Not only do they allow for faster development, but they are free. In addition to being free, open source databases have a host of other benefits. For example, if you have a large data set, you don’t have to pay for expensive licensing or purchasing costs. The flexibility of open source databases also frees you up to focus on your database work instead of worrying about your database. These are some of the biggest benefits of open source databases, and they are arguably an arguable winner over proprietary solutions.
If you are a developer looking for a new database to use, MongoDB could be the database you’re looking for. This open-source database has over sixteen thousand customers, including half of the Global Fortune 100 in 2017. It has been a successful business model, using the community version as a pipeline for future subscribers, and relying on customers to upgrade to the paid model when they need premium support.
It supports database transactions, which enable batching and grouping of changes, and is backed by an extensive developer community. MongoDB has been around since 2007, but has undergone many updates to meet the growing demands of modern applications. Large organizations are increasingly turning to MongoDB for its superior performance and scalability, as well as its security and fault-tolerance features.
As a noSQL database, MongoDB has a high demand among developers. Its document data model allows developers to build applications with complex analytics and querying capabilities. And because MongoDB embeds information in its structure, it eliminates the need for costly join operations. It is one of the most popular open source databases and has been named as one of the most desired open source databases for 4 years in a row.
The benefits of using MongoDB are endless. Its JSON-based data format supports a range of data types. Its binary JSON format is easier to parse and search. The database can support multiple indexing methods, including text, decimal, partial, and full-text indexing. Various programming languages, including C++, Python, and Rus, can also be used to create custom databases using MongoDB.
According to the most recent Stack Overflow developer survey, MongoDB is the most popular database for developers. With over a hundred thousand responses, it is the top choice of many companies. And its MQL query language has helped the database gain recognition. Its success story has earned the company a market capitalisation of $9 billion and revenues of over $350 million. And while it isn’t yet as widely adopted as MySQL or Oracle, MongoDB continues to grow.
According to a study published in the journal Computer Science and Technology, PostgreSQL is one of the most popular open-source databases. Developers who use PostgreSQL for business and other critical tasks will greatly benefit from improved support for stored procedures and user-defined functions. Although computer scientists know that running logic in a database system is preferable, real programmers rarely use this feature. According to Stonebraker, a Stanford University student, PostgreSQL lacks an easy-to-use debugger, standard language support, and a versioning and testing environment.
In addition to the PostgreSQL SQL-based database, many third-party tools have been developed to make PostgreSQL more useful to developers. A list of these tools focuses on four categories: management features, query plan insights, database DevOps tooling, and data modeling and analysis. It is possible to use all of them to make your work easier. You can also get them for free from the PostgreSQL site.
PostgreSQL is widely used and supported by third-party vendors. It also has a large community of independent developers who are creating hardware-optimized and cloud versions of the software. In fact, it’s the default database in macOS Server. It’s also available for Linux, Windows, and FreeBSD. Regardless of which platform you use, PostgreSQL is a valuable open source database.
EDB has added enterprise-class services to the PostgreSQL database for enterprise customers. EDB offers a complete solution, including Postgres database as a service (DBaaS). The cloud version of EDB is highly compatible with Oracle databases. And it includes automated backups and 24/7 operations. The database is available in over 20 countries. There are more than 750 employees worldwide, serving more than 1,500 customers.
In addition to PostgreSQL’s agnostic nature, it supports a wide range of object types and features. It’s also fast, and its scalability has made it the most desirable open source database in the world. There are a few shortcomings of PostgreSQL, however, and the company is continuing to develop improvements. The company has also released a new version of PostgreSQL, named pg_ogjsonb.
A popular in-memory data store, Redis is an open-source database, cache, and message broker. In today’s fast-paced world, speed is essential. To meet these needs, Redis has been tested on the Kubernetes container orchestration system and runs on Linode Kubernetes Engine. Redis version 6 is also available for the platform. Redis version 6 is also a very popular open source database, according to a recent study.
Redis’s flexibility is also another factor in its growing popularity. Its implementation makes heavy use of a fork system call, which duplicates the process holding the data. The parent process continues to serve the clients while the child process creates a copy of the data on disk. The resulting data is fast and highly available, and the database is easy to modify. Redis has been rated the most popular open source database in the world for the past five years.
Redis is also highly customizable, with a large community of contributors. Its features include built-in replication, Lua scripting, transactions, and various levels of disk persistence. It can support high availability with Redis Sentinel and Redis Cluster. In addition, users can execute atomic operations on Redis types like appending a string, incrementing a hash, computing set intersection, and getting the highest overall rank of a sorted set.
For the time being, the most popular open source databases are still RDBMS systems. Redis is the most popular open source database, with almost double the number of instances as MongoDB. It also has a smaller number of instances than Elastic, which accounts for a fraction of those. So what are the other open source databases that are popular?
Google’s Firebase is a database that provides functionality and help to developers when building backends for websites. The cloud-based service provides many features to developers that would otherwise require them to build their own. Firebase provides a comprehensive list of features and services, including databases, authentication, push messages, analytics, and file storage. Developers can use Firebase for all phases of application development, including backend development, engagement, and analytics.
This multipurpose database is available for web applications, iOS apps, and Android applications. Firebase is easy to use and has an excellent documentation, which makes it ideal for people with no technical background. Its pricing depends on the number of operations performed, not on the amount of data. The Spark Plan grants 100 simultaneous connections and a 1GB data storage. The Flame and Blaze plans give more data allowances. The Google comparison table shows what each plan has to offer.
While MongoDB is a popular open source database, Firebase has its advantages. Its backend patterns enable frontend developers to perform most of the activities and tasks that are not performed by a backend developer. However, scaling up a database cluster is a complicated process. It requires experienced engineers who can optimize performance under massive workloads. Firebase’s serverless architecture makes scaling a breeze. Since users pay only for the resources used, developers can avoid having to manage server infrastructure.
While Firebase is a solid choice for a new MVP with a robust database, it’s not the right choice for complex data or expanding projects. There are many limitations and features to investigate, so developers are urged to explore Firebase’s capabilities. But before moving to Firebase, be sure to check out our review of the database and see whether it meets your needs. You’ll be glad you did.
Whether you’re developing a micro-app or a large web application, Firebase offers a free tier and several paid plans. The Spark Plan is free while the Blaze Plan is a paid-as-you-go service for larger apps. The Blaze Plan starts at $9/month for a shared instance and reaches $60 for a dedicated one. You can even set your own price, so you can tailor the platform to your exact needs.