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As you build an application for Android by an Android Development Company it is natural to consider the underlying database layer. Databases are designed specifically to store data in a structured format so that various data can be queried and retrieved as needed. If your app requires storing large amounts of structured data efficiently, look beyond SQLite. The following list helps you find the right NoSQL or relational database engine for your Android app development project:
Databases to be Used by Android Development Company
1) Realm Realtime Database for Android Development Company
The Realm Realtime Database simplifies your coding and makes it easy to build a great native experience for your users across iOS and Android devices. It has a unique structure that allows you to focus on building your application’s features, rather than wasting time on infrastructure code. Realm uses a local data store as a key step in optimizing the speed and performance of reading/write operations.
The Realm Data Model for IOS Application Development Company is based on the fundamental type system of JavaScript which is flexible enough to suit all modern data structures without any awkwardness or unnatural usage patterns. In practice, this means you need few, if any, migrations because adding properties doesn’t make existing objects incompatible with older versions of the schema—it just keeps working!
Realm is the leading open-source mobile database created from the ground up to work immediately inside phones, pads, or wearables? We wanted to expose the power and flexibility of raw SQLite to developers building apps for mobile devices without compromising on developer productivity.
2) MongoDB
The MongoDB database uses a document-oriented data structure where each object can contain multiple key/value pairs representing data fields; string values in objects can be indexed and queried in various ways — this is in contrast with the table-based relational data model used by most relational databases (e.g., MySQL). This means you don’t have to design your schema in advance before creating documents. Querying is done via an expression evaluator rather than actual SQL statements that would need to be created beforehand against a schema definition e.g., SELECT * from USER. In other words, you simply document the data rather than worrying about how it’s going to be queried.
MongoDB is extremely flexible and can store a variety of data types ranging from simple key/value pairs to arrays and even nested objects. It supports geospatial indexes as well as text search based on keywords or phrases enabling efficient searching across large datasets.
3) Couchbase Mobile
Couchbase Lite documentation provides a detailed walkthrough for creating cross-platform apps with ease. The initial steps will help you install Couchbase Lite then download the Swift code example that matches your iOS version (i.e., 8 or later). You’ll integrate this into an Xcode project that uses UIKit controls like CocoaPods and then build and run the app by Android Development Company.
4) Cloud Ant
Cloudant is a fully managed NoSQL database service powered by Apache CouchDB™ that lets you easily sync data between devices and applications — all while keeping the utmost security standards in place. This will be great for letting people access their content from anywhere — right from day one — with very minimal work. The team at Cloudant is also working on support for offline viewing/editing of data via an upcoming feature called Dataclips. Offline syncing is now available in the Cloudant ViewSync service.
5) Redis Labs
An excellent way to maintain application data in real-time, Redis is an open-source (BSD licensed), in-memory data building store that worked as a database, cache, and message broker. It supports different kinds of abstract data structures including strings, lists, maps, sets, and sorted sets with range queries. Redis has built-in replication, Lua scripting for controlling load balancing or accessing Redis from other programming languages without using sockets.
6) Cloud SQL
Cloud SQL is a fully-managed database service that makes it easy to set up, maintain, manage and administer your relational PostgreSQL or MySQL databases in Google Cloud Platform. You can easily create one or more new Cloud SQL instances by visiting the Dashboard.
Conclusion
The Cassandra Query Language (CQL) is similar to SQL, but not as rich as other NoSQL technologies like MongoDB; nonetheless, those well-versed in SQL will be able to work with CQL without too much effort. Apache Cassandra stores data in tables that can hold several different types of data models including simple key/value maps and column families created out of rows with multiple columns. Data is written linearly and its schema can easily be added later on — this makes it easy to implement and maintain despite the number of tables involved.
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