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  1. Stackups
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  4. Databases
  5. InfluxDB vs Realm React Native

InfluxDB vs Realm React Native

OverviewDecisionsComparisonAlternatives

Overview

InfluxDB
InfluxDB
Stacks1.0K
Followers1.2K
Votes175
Realm React Native
Realm React Native
Stacks45
Followers167
Votes1
GitHub Stars6.0K
Forks607

InfluxDB vs Realm React Native: What are the differences?

Introduction: In this comparison, we will discuss key differences between InfluxDB and Realm React Native.

  1. Data Storage: InfluxDB is a time-series database designed for handling high volumes of timestamped data efficiently, while Realm React Native is a mobile database that offers object persistence in a local data store. InfluxDB is more suitable for time-series data storage and analysis, whereas Realm is ideal for storing structured data for mobile applications.

  2. Query Language: InfluxDB uses its query language, InfluxQL, which is optimized for time-series data querying and manipulation. On the other hand, Realm React Native uses a familiar and easy-to-use query language, allowing developers to work with data objects using simple patterns and methods. InfluxDB's query language is specialized for time-series data retrieval, while Realm offers a more general-purpose querying approach.

  3. Scalability: InfluxDB is built to handle large volumes of time-series data and offers scalability features such as clustering and data sharding. Realm React Native, on the other hand, focuses more on providing a reliable and efficient local database solution for mobile applications. In terms of scalability, InfluxDB is better suited for applications with high data volume requirements.

  4. Offline Data Management: Realm React Native provides robust offline data management capabilities, allowing mobile applications to work seamlessly even without an internet connection. InfluxDB, being a database optimized for time-series data, does not offer built-in offline data management features. Realm is a more suitable choice for mobile apps requiring offline functionality.

  5. Integration: InfluxDB integrates well with various data visualization and analysis tools, making it easier to work with time-series data in different environments. Realm React Native, on the other hand, offers seamless integration with React Native applications, providing a smooth development experience for mobile app developers. Depending on the specific project requirements, the choice of database can impact the ease of integration with other tools and frameworks.

In Summary, InfluxDB and Realm React Native differ in data storage capabilities, query language, scalability, offline data management, and integration options, catering to different use cases in database management.

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Advice on InfluxDB, Realm React Native

Anonymous
Anonymous

Apr 21, 2020

Needs advice

We are building an IOT service with heavy write throughput and fewer reads (we need downsampling records). We prefer to have good reliability when comes to data and prefer to have data retention based on policies.

So, we are looking for what is the best underlying DB for ingesting a lot of data and do queries easily

381k views381k
Comments
Benoit
Benoit

Principal Engineer at Sqreen

Sep 21, 2019

Decided

I chose TimescaleDB because to be the backend system of our production monitoring system. We needed to be able to keep track of multiple high cardinality dimensions.

The drawbacks of this decision are our monitoring system is a bit more ad hoc than it used to (New Relic Insights)

We are combining this with Grafana for display and Telegraf for data collection

155k views155k
Comments

Detailed Comparison

InfluxDB
InfluxDB
Realm React Native
Realm React Native

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

Realm JavaScript enables you to efficiently write your app’s model layer in a safe, persisted and fast way. It’s designed to work with React Native and Node.js.

Time-Centric Functions;Scalable Metrics; Events;Native HTTP API;Powerful Query Language;Built-in Explorer
-
Statistics
GitHub Stars
-
GitHub Stars
6.0K
GitHub Forks
-
GitHub Forks
607
Stacks
1.0K
Stacks
45
Followers
1.2K
Followers
167
Votes
175
Votes
1
Pros & Cons
Pros
  • 59
    Time-series data analysis
  • 30
    Easy setup, no dependencies
  • 24
    Fast, scalable & open source
  • 21
    Open source
  • 20
    Real-time analytics
Cons
  • 4
    Instability
  • 1
    Proprietary query language
  • 1
    HA or Clustering is only in paid version
Pros
  • 1
    Reactive Database
Integrations
No integrations available
React Native
React Native

What are some alternatives to InfluxDB, Realm React Native?

MongoDB

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.

MySQL

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.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft SQL Server

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

SQLite

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.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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