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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. InfluxDB vs OpenTSDB

InfluxDB vs OpenTSDB

OverviewDecisionsComparisonAlternatives

Overview

InfluxDB
InfluxDB
Stacks1.0K
Followers1.2K
Votes175
OpenTSDB
OpenTSDB
Stacks32
Followers75
Votes0
GitHub Stars5.1K
Forks1.2K

InfluxDB vs OpenTSDB: What are the differences?

Introduction

InfluxDB and OpenTSDB are both time series databases used for storing and analyzing time series data. While they serve the same purpose, there are several key differences between the two.

  1. Data Model: InfluxDB uses a key-value store with a flexible schema, allowing for the storage of different types of data within the same measurement or series. OpenTSDB, on the other hand, follows a strict schema with fixed tags and metrics, which can limit the flexibility in data storage and retrieval.

  2. Query Language: InfluxDB uses a SQL-like query language called InfluxQL, which offers a wide range of query capabilities including aggregations, joins, and functions. OpenTSDB uses a simplified query language that requires specifying the metric, tags, and time range explicitly, making it less versatile compared to InfluxDB.

  3. Scalability: InfluxDB is designed to be highly scalable and can handle large volumes of data with ease. It provides built-in clustering and sharding capabilities, allowing for horizontal scaling across multiple nodes. OpenTSDB, on the other hand, relies on HBase for storage and scalability, which may require additional configuration and setup.

  4. Data Storage: InfluxDB stores data in its own custom time series file format, which is optimized for efficient data compression and retrieval. OpenTSDB, on the other hand, relies on HBase as its underlying storage system, which may introduce additional complexities and dependencies to the setup.

  5. Ease of Setup: InfluxDB offers a single binary distribution that can be easily installed and set up on various operating systems. It also provides a web-based admin interface for configuration and management. OpenTSDB, on the other hand, requires a multi-component setup, including HBase and ZooKeeper, which may require more effort and technical expertise.

  6. Community and Ecosystem: InfluxDB has a vibrant and active community with extensive documentation, libraries, and integrations with popular tools and frameworks. OpenTSDB, while also having a dedicated user base, may have a smaller community and a more limited ecosystem in terms of available libraries and integrations.

In summary, InfluxDB and OpenTSDB differ in their data model, query language, scalability, data storage, ease of setup, and community ecosystem. While both are capable time series databases, InfluxDB offers more flexibility and a wider range of features, making it a popular choice for many time series data applications.

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Advice on InfluxDB, OpenTSDB

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
OpenTSDB
OpenTSDB

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 a distributed, scalable time series database to store, index & serve metrics collected from computer systems at a large scale. It can store and serve massive amounts of time series data without losing granularity.

Time-Centric Functions;Scalable Metrics; Events;Native HTTP API;Powerful Query Language;Built-in Explorer
Store and serve massive amounts of time series data; Scalable
Statistics
GitHub Stars
-
GitHub Stars
5.1K
GitHub Forks
-
GitHub Forks
1.2K
Stacks
1.0K
Stacks
32
Followers
1.2K
Followers
75
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
Grafana
Grafana
HBase
HBase

What are some alternatives to InfluxDB, OpenTSDB?

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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