Choosing the right database is a critical choice when building any software application. All databases have different strengths and weaknesses when it comes to performance, so deciding which database has the most benefits and the most minor downsides for your specific use case and data model is an important decision. Below you will find an overview of the key concepts, architecture, features, use cases, and pricing models of MariaDB and RRDtool so you can quickly see how they compare against each other.
The primary purpose of this article is to compare how MariaDB and RRDtool perform for workloads involving time series data, not for all possible use cases. Time series data typically presents a unique challenge in terms of database performance. This is due to the high volume of data being written and the query patterns to access that data. This article doesn’t intend to make the case for which database is better; it simply provides an overview of each database so you can make an informed decision.
MariaDB vs RRDtool Breakdown
Time series database
MariaDB can be deployed on-premises, in the cloud, or as a hybrid solution, and is compatible with various operating systems, including Linux, Windows, and macOS.
RRDtool is a single-node, non-distributed database generally deployed on a single machine
Web applications, transaction processing, e-commerce
Monitoring, observability, Network performance tracking, System metrics, Log data storage
Supports replication and sharding for horizontal scaling, as well as query optimization and caching for improved performance
Limited scalability- more suitable for small to medium-sized datasets
MariaDB is an open-source relational database management system (RDBMS) that was created as a fork of MySQL in 2009 by the original developers of MySQL, led by Michael Widenius. The primary goal of MariaDB was to provide an open-source and community-driven alternative to MySQL, which was acquired by Oracle Corporation in 2008. MariaDB is compatible with MySQL and has enhanced features, better performance, and improved security. It is widely used by organizations worldwide and is supported by the MariaDB Foundation, which ensures its continued open-source development.
RRDtool, short for Round-Robin Database Tool, is an open-source, high-performance data logging and graphing system designed to handle time series data. Created by Tobias Oetiker in 1999, RRDtool is specifically built for storing and visualizing time-series data, such as network bandwidth, temperatures, or CPU load. Its primary feature is the efficient storage of data points, using a fixed-size database that automatically aggregates and archives older data points, ensuring that the database size remains constant over time.
MariaDB for Time Series Data
While MariaDB is not specifically designed for time series data, it can be used to store, process, and analyze time series data due to its flexible and extensible architecture. SQL support, along with analytics optimized storage engines like ColumnStore make it suitable for handling time series data at smaller levels of data volume.
RRDtool for Time Series Data
RRDtool was created for time series data storage and visualization, making it a great fit for applications that require efficient handling of this type of data. Its round-robin database structure ensures constant storage space usage while providing automatic data aggregation and archiving. However, RRDtool may not be suitable for applications that require complex queries or relational data storage, as its focus is primarily on time series data.
MariaDB Key Concepts
- Storage Engines: MariaDB supports multiple storage engines, each optimized for specific types of workloads or data storage requirements. Examples include InnoDB, MyISAM, Aria, and ColumnStore.
- Galera Cluster: A synchronous, multi-master replication solution for MariaDB that allows for high availability, fault tolerance, and load balancing.
- MaxScale: A database proxy for MariaDB that provides advanced features such as query routing, load balancing, and security.
- Connectors: MariaDB provides a variety of connectors to allow applications to interact with the database using various programming languages and APIs.
RRDtool Key Concepts
- Round-robin database: A fixed-size database that stores time-series data using a circular buffer, overwriting older data as new data is added.
- RRD file: A single file that contains all the configuration and data for an RRDtool database.
- Consolidation function: A function that aggregates multiple data points into a single data point, such as AVERAGE, MIN, MAX, or LAST.
MariaDB is a relational database that uses the SQL language for querying and data manipulation. Its architecture is based on a client-server model, with clients interacting with the server through various connectors and APIs. MariaDB supports multiple storage engines, allowing users to choose the most suitable engine for their specific use case. The database also offers replication and clustering options for high availability and load balancing.
RRDtool is a specialized time series database that does not use SQL or a traditional relational data model. Instead, it employs a round-robin database structure, with data points stored in a fixed-size, circular buffer. RRDtool is a command-line tool that can be used to create and update RRD files, as well as generate graphs and reports from the stored data. It can be integrated with various scripting languages, such as Perl, Python, and Ruby, through available bindings.
Free Time-Series Database Guide
Get a comprehensive review of alternatives and critical requirements for selecting yours.
MariaDB is fully compatible with MySQL, making it easy to migrate existing MySQL applications and databases.
MariaDB supports multiple storage engines, allowing users to choose the best option for their specific use case.
Replication and Clustering
MariaDB offers built-in replication and supports Galera Cluster for high availability, fault tolerance, and load balancing. Security: MariaDB provides advanced security features such as data encryption, secure connections, and role-based access control.
Efficient Data Storage
RRDtool’s round-robin database structure ensures constant storage space usage, automatically aggregating and archiving older data points.
RRDtool provides powerful graphing capabilities, allowing users to generate customizable graphs and reports from the stored time series data.
RRDtool is available on various platforms, including Linux, Unix, macOS, and Windows.
MariaDB Use Cases
MariaDB is a popular choice for web applications due to its compatibility with MySQL, performance improvements, and open-source nature.
Organizations looking to migrate from MySQL to an open-source alternative can easily transition to MariaDB, thanks to its compatibility and enhanced features.
As a relational database MariaDB is a good fit for any application that requires strong transactional guarantees.
RRDtool Use Cases
RRDtool is often used in network monitoring applications to store and visualize metrics such as bandwidth usage, latency, and packet loss.
RRDtool can be used to track and visualize environmental data, such as temperature, humidity, and air pressure, over time.
System Performance Monitoring
RRDtool is suitable for storing and displaying system performance metrics, like CPU usage, memory consumption, and disk I/O, for server and infrastructure monitoring.
MariaDB Pricing Model
MariaDB is an open-source database, which means it is free to download, use, and modify. However, for organizations that require professional support, the MariaDB Corporation offers various subscription plans, including MariaDB SkySQL, a fully managed cloud database service. Pricing for support subscriptions and the SkySQL service depends on the chosen plan, service level, and resource usage.
RRDtool Pricing Model
RRDtool is an open-source software, freely available for use under the GNU General Public License. Users can download, use, and modify the software at no cost. There are no commercial licensing options or paid support services offered directly by the project.
Get started with InfluxDB for free
InfluxDB Cloud is the fastest way to start storing and analyzing your time series data.