Parse Database

Parse is among the most widely-used backend services preferred by developers across the world today. It offers a vast array of features, tools, and functionalities that make development, deployment, and management easier for businesses across the globe. Despite so many currently available Parse alternatives, it has been a top choice among developers. 

Parse also offers support for both SQL and NoSQL databases. This is one of the key reasons why it is a favorite of many. Read on to gain a better idea about Parse database options. Explore the database features to gain better insight into Parse development possibilities.

What is Parse?

Parse is a leading backend as a service (BaaS) platform with SDKs (software development kits) that facilitate the swift development of mobile backends. Developers use this open-source platform to achieve fast and easy development of applications for Android, JavaScript, iOS, Windows, and OS X. Parse is a popular choice among programmers as it benefits from the presence of an expansive community of developers. With Parse, one can develop scalable web and mobile backends efficiently. 

Parse users benefit from its ease-of-use as it does not require a high level of server management. It offers a wide array of features such as APIs, file storage, file storage, and push notifications. Parse’s technology is used in a great variety of applications such as social networks, content management systems, real-time payment apps, video and audio streaming applications, e-commerce platforms, IoT applications, and games. It is a convenient platform offering extensive flexibility to users.

What are the core features of Parse?

  • Databases
  • APIs (GraphQL and REST)
  • Authentication
  • Notifications
  • File Storage

What are the two Parse databases?

Parse is a platform that offers compatibility with two types of databases. It supports the NoSQL database MongoDB, and the second type supported by it is a SQL database i.e., Postgres. Both Postgres and MongoDB can be used as a database for Parse.

Parse has a preference for MongoDB as the database of choice, but Postgres is also suitable for those starting new projects with a reliable schema. Take a look at the information given below to get a better idea about both Parse database options. 

Parse and MongoDB

MongoDB refers to a cross-platform document-oriented database offering. It is fundamentally a NoSQL database program that utilizes documents similar to JSON and optional schemas. It was developed by MongoDB Inc. with a Server Side Public License (SSPL) license. 

MongoDB utilizes collections and documents instead of rows and tables like conventional relational databases. Documents possess key-value pairs, which are the basic data units used in MongoDB. Collections in MongoDB have several functions and documents similar to the tables of relational databases. 

MongoDB databases have a structure featuring collections that store documents. Each of the documents within a collection can have different field numbers. Different documents can also differ in terms of their content and size. 

In MongoDB, the structure of a document is more congruent with how developers create objects and classes in different programming languages. The key-value pair concept is more widely embraced by numerous developers as they do not interpret as rows and columns. Developers that have not utilized MongoDB before should gain familiarity with the database and its features. 

A Parse server requires users to install MongoDB version 3.6. They should also ideally have an SSL connection. Developers utilizing MongoDB with a Parse application are required to perform their own index management. There is also a need to scale up one’s database based on growing data requirements. 

More information available here.

 Parse and Postgres

Postgres (also known as PostgreSQL is an open-source relational database management system (RDBMS) that uses the SQL programming language. Using Postgres enables developers to perform fast and efficient data scaling and storage. It is compatible with several leading operating systems and has a wide array of features. Postgres is known for its scalability and reliability and provides support for different document-based primitive and structured data types. 

PostgreSQL is compatible with operating systems including Windows, Linux, UNIX (Mac OS X, Solaris, AIX, HP-UX, BSD, Tru64, and SGI IRIX). Postgres offers support for sounds, texts, images, and videos. It also offers programming interfaces for Python, C, C++, Java, Tcl, Perl, Ruby, and ODBC.

Postgres enjoys compatibility with a number of platforms and most widely used programming languages. It also offers multi-version concurrency control and complies with the ANSI SQL standard. Postgres offers comprehensive support for the client-server network model and both trigger-based and log-based replication SSL. 

Postgres can be used on a Parse server with Postgres version 9.5 and PostGIS extensions 2.3. 

For more information, please read here.

Limitations 

  • As join tables are memory resolved, it is not possible to witness any performance improvements by choosing Postgres over MongoDB for pointers and relations. 
  • Schema mutation entails executing ALTER TABLE and developers should perform schema setup when tables are not full.
  • Tables have to be indexed properly to gain performance improvements.
  • The Postgres URL of 4.2.0 and below has support for configuration options

Conclusion

The choice of a suitable Parse database depends on a user’s specific development requirements. Both MongoDB and Postgres offer their distinct set of useful features. Consult with an experienced software development consultant to gain a better idea about the most suitable option. 

FAQ

What is Parse?

Parse is a leading backend as a service (BaaS) platform with SDKs (software development kits) that facilitate the swift development of mobile backends.

What are the core features of Parse?

– Databases
– APIs (GraphQL and REST)
– Authentication
– Notifications
– File Storage

What are the Parse databases?

– MongoDB
– Postgres


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