InfluxDB vs ObjectBox

Overview

InfluxDB

Stacks1.0K

Followers1.2K

Votes175

ObjectBox

Stacks9

Followers20

Votes0

InfluxDB vs ObjectBox: What are the differences?

InfluxDB and ObjectBox are two popular database management systems with distinct features and use cases. InfluxDB is a time-series database designed for handling high volumes of timestamped data efficiently, commonly used in monitoring and IoT applications. On the other hand, ObjectBox is a mobile database that offers fast and efficient storage and retrieval of data on mobile devices without relying on a server.

Data Structure: InfluxDB stores data in a highly optimized time-series data structure, making it suitable for time-sensitive queries and analysis. ObjectBox, on the other hand, uses an object-oriented approach to store data in a schema-less format, providing flexibility in data modeling and retrieval.
Query Language: InfluxDB uses InfluxQL, a SQL-like query language optimized for time-series data operations, allowing for complex analytical queries and aggregations. ObjectBox utilizes an intuitive API and query language that simplifies data manipulation for mobile applications and reduces the overhead of managing complex queries.
Storage Efficiency: InfluxDB optimizes data storage through efficient compression algorithms and indexing strategies, reducing the disk space required for storing large volumes of time-series data. ObjectBox offers a compact storage format that minimizes the storage footprint on mobile devices, ensuring optimal performance and data access.
Scalability: InfluxDB is designed for horizontal scalability, allowing users to expand their database clusters to accommodate growing data volumes and query loads. ObjectBox focuses on providing efficient local storage and retrieval capabilities for individual devices, offering scalability through data synchronization mechanisms.
Integration: InfluxDB offers robust integration capabilities with various data sources and visualization tools, facilitating seamless data ingestion and analysis workflows in diverse environments. ObjectBox prioritizes local data management on mobile devices, supporting integration with backend services for data synchronization and remote access.
Community and Support: InfluxDB has a strong open-source community and active development, providing users with comprehensive documentation, tutorials, and forums for support and collaboration. ObjectBox offers dedicated support and resources for mobile developers, including sample code, integration guides, and personalized assistance for optimizing database performance on mobile platforms.

In Summary, InfluxDB and ObjectBox differ in their data structures, query languages, storage efficiency, scalability, integration options, and support ecosystems, catering to distinct use cases in time-series data analysis and mobile data management.

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Advice on InfluxDB, ObjectBox

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

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	ObjectBox
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.	It is for developers who look for performance and ease of use. We are committed to providing you with the easiest APIs for you to keep your code short and maintainable. No SQL under the hood-Simply faster. Unlike other databases, it has been built from the ground up using key-value storage instead of column storage. The resulting performance is 10x faster than the leading alternative, we welcome you to try it yourself. It is fast regardless of the amount of data or operating system you are using.
Time-Centric Functions;Scalable Metrics; Events;Native HTTP API;Powerful Query Language;Built-in Explorer	10x faster than any alternative; Reduces cloud costs up to 60%; Supports Linux, Windows, Mac/iOS, Android, Raspbian, etc. Embedded or Containerized; Develop applications that work on- and offline, independently from a constant Internet connection, providing an “always-on”-feeling; Accelerate time-to-market, save development and lifecycle costs, save precious developer time for tasks that bring value
Statistics
Stacks 1.0K	Stacks 9
Followers 1.2K	Followers 20
Votes 175	Votes 0
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	No community feedback yet
Integrations
No integrations available	Linux Android OS macOS iOS Windows Raspbian

What are some alternatives to InfluxDB, ObjectBox?

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

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

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

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 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

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 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

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.

Related Comparisons

InfluxDB vs ObjectBox: What are the differences?

Data Structure: InfluxDB stores data in a highly optimized time-series data structure, making it suitable for time-sensitive queries and analysis. ObjectBox, on the other hand, uses an object-oriented approach to store data in a schema-less format, providing flexibility in data modeling and retrieval.
Query Language: InfluxDB uses InfluxQL, a SQL-like query language optimized for time-series data operations, allowing for complex analytical queries and aggregations. ObjectBox utilizes an intuitive API and query language that simplifies data manipulation for mobile applications and reduces the overhead of managing complex queries.
Storage Efficiency: InfluxDB optimizes data storage through efficient compression algorithms and indexing strategies, reducing the disk space required for storing large volumes of time-series data. ObjectBox offers a compact storage format that minimizes the storage footprint on mobile devices, ensuring optimal performance and data access.
Scalability: InfluxDB is designed for horizontal scalability, allowing users to expand their database clusters to accommodate growing data volumes and query loads. ObjectBox focuses on providing efficient local storage and retrieval capabilities for individual devices, offering scalability through data synchronization mechanisms.
Integration: InfluxDB offers robust integration capabilities with various data sources and visualization tools, facilitating seamless data ingestion and analysis workflows in diverse environments. ObjectBox prioritizes local data management on mobile devices, supporting integration with backend services for data synchronization and remote access.
Community and Support: InfluxDB has a strong open-source community and active development, providing users with comprehensive documentation, tutorials, and forums for support and collaboration. ObjectBox offers dedicated support and resources for mobile developers, including sample code, integration guides, and personalized assistance for optimizing database performance on mobile platforms.

InfluxDB vs ObjectBox

Overview