InfluxDB vs Liquibase

Overview

InfluxDB

Stacks1.0K

Followers1.2K

Votes175

Liquibase

Stacks639

Followers648

Votes70

GitHub Stars5.3K

Forks1.9K

InfluxDB vs Liquibase: What are the differences?

What is InfluxDB? An open-source distributed time series database with no external dependencies. 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..

What is Liquibase? Source control for your database. Developers store database changes in text-based files on their local development machines and apply them to their local databases. Changelog files can be be arbitrarily nested for better management.

InfluxDB can be classified as a tool in the "Databases" category, while Liquibase is grouped under "Database Tools".

Some of the features offered by InfluxDB are:

Time-Centric Functions
Scalable Metrics
Events

On the other hand, Liquibase provides the following key features:

Supports code branching and merging
Supports multiple developers
Supports multiple database types

"Time-series data analysis" is the primary reason why developers consider InfluxDB over the competitors, whereas "Great database tool" was stated as the key factor in picking Liquibase.

InfluxDB and Liquibase are both open source tools. It seems that InfluxDB with 16.7K GitHub stars and 2.39K forks on GitHub has more adoption than Liquibase with 1.79K GitHub stars and 1.09K GitHub forks.

trivago, Redox Engine, and Thumbtack are some of the popular companies that use InfluxDB, whereas Liquibase is used by Viadeo, Orbitz, and Virgin Pulse. InfluxDB has a broader approval, being mentioned in 119 company stacks & 39 developers stacks; compared to Liquibase, which is listed in 15 company stacks and 12 developer stacks.

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Advice on InfluxDB, Liquibase

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

pionell

Sep 16, 2020

Needs adviceon

MariaDB

I have a lot of data that's currently sitting in a MariaDB database, a lot of tables that weigh 200gb with indexes. Most of the large tables have a date column which is always filtered, but there are usually 4-6 additional columns that are filtered and used for statistics. I'm trying to figure out the best tool for storing and analyzing large amounts of data. Preferably self-hosted or a cheap solution. The current problem I'm running into is speed. Even with pretty good indexes, if I'm trying to load a large dataset, it's pretty slow.

159k views159k

Comments

Detailed Comparison

InfluxDB	Liquibase
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.	Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.
Time-Centric Functions;Scalable Metrics; Events;Native HTTP API;Powerful Query Language;Built-in Explorer	Supports code branching and merging;Supports multiple developers;Supports multiple database types;Supports XML, YAML, JSON and SQL formats;Supports context-dependent logic;Cluster-safe database upgrades;Generate Database change documentation;Rollbacks;Generate Database "diff's";Run through your build process, embedded in your application or on demand;Automatically generate SQL scripts for DBA code review;Does not require a live database connection;Stored logic
Statistics
GitHub Stars -	GitHub Stars 5.3K
GitHub Forks -	GitHub Forks 1.9K
Stacks 1.0K	Stacks 639
Followers 1.2K	Followers 648
Votes 175	Votes 70
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 18 Many DBs supported 18 Great database tool 12 Easy setup 8 Database independent migration scripts 5 Database version controller Cons 5 Documentation is disorganized 5 No vendor specifics in XML format - needs workarounds
Integrations
No integrations available	Amazon RDS for MariaDB Travis CI SAP HANA Oracle PostgreSQL Sybase jFrog GitHub Actions Firebird IBM DB2

What are some alternatives to InfluxDB, Liquibase?

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.

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

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.

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

Related Comparisons

Some of the features offered by InfluxDB are:

Time-Centric Functions
Scalable Metrics
Events

On the other hand, Liquibase provides the following key features:

Supports code branching and merging
Supports multiple developers
Supports multiple database types

"Time-series data analysis" is the primary reason why developers consider InfluxDB over the competitors, whereas "Great database tool" was stated as the key factor in picking Liquibase.

InfluxDB vs Liquibase