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API StatusChangelog
  1. Stackups
  2. Application & Data
  3. Databases
  4. Druid vs OpenTSDB

Druid vs OpenTSDB

OverviewComparisonAlternatives

Overview

OpenTSDB
OpenTSDB
Stacks33
Followers75
Votes0
GitHub Stars5.1K
Forks1.2K
Druid
Druid
Stacks380
Followers867
Votes32

Druid vs OpenTSDB: What are the differences?

Druid: Fast column-oriented distributed data store. Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations; OpenTSDB: A scalable time series database. 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.

Druid belongs to "Big Data Tools" category of the tech stack, while OpenTSDB can be primarily classified under "Databases".

Druid and OpenTSDB are both open source tools. Druid with 8.42K GitHub stars and 2.12K forks on GitHub appears to be more popular than OpenTSDB with 3.81K GitHub stars and 1.11K GitHub forks.

According to the StackShare community, Druid has a broader approval, being mentioned in 28 company stacks & 69 developers stacks; compared to OpenTSDB, which is listed in 4 company stacks and 6 developer stacks.

Detailed Comparison

OpenTSDB
OpenTSDB
Druid
Druid

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.

Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.

Store and serve massive amounts of time series data; Scalable
-
Statistics
GitHub Stars
5.1K
GitHub Stars
-
GitHub Forks
1.2K
GitHub Forks
-
Stacks
33
Stacks
380
Followers
75
Followers
867
Votes
0
Votes
32
Pros & Cons
No community feedback yet
Pros
  • 15
    Real Time Aggregations
  • 6
    Batch and Real-Time Ingestion
  • 5
    OLAP
  • 3
    OLAP + OLTP
  • 2
    Combining stream and historical analytics
Cons
  • 3
    Limited sql support
  • 2
    Joins are not supported well
  • 1
    Complexity
Integrations
Grafana
Grafana
HBase
HBase
Zookeeper
Zookeeper

What are some alternatives to OpenTSDB, Druid?

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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