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  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Tools
  5. Galera Cluster vs QuestDB

Galera Cluster vs QuestDB

OverviewComparisonAlternatives

Overview

Galera Cluster
Galera Cluster
Stacks54
Followers102
Votes0
QuestDB
QuestDB
Stacks19
Followers50
Votes17
GitHub Stars16.3K
Forks1.5K

Galera Cluster vs QuestDB: What are the differences?

  1. 1. Scalability: Galera Cluster is a synchronous multi-master cluster that allows for active-active database setups, providing scalability by distributing load across multiple nodes. QuestDB, on the other hand, is a high-performance time-series database that focuses on query performance and scalability by utilizing optimized storage and indexing techniques specifically designed for time-series data.
  2. 2. Replication: Galera Cluster uses synchronous replication, meaning that every write operation must be synchronously replicated to all nodes in the cluster before it is considered committed. In contrast, QuestDB utilizes asynchronous replication, where write operations are acknowledged once they are locally committed and then asynchronously replicated to other nodes.
  3. 3. Data Model: Galera Cluster supports distributed cluster-wide transactions and provides full ACID compliance. It follows a standard relational data model with support for features like foreign keys, transactions, and complex joins. QuestDB, on the other hand, focuses specifically on time-series data and utilizes a high-performance column-oriented storage format optimized for efficient querying of time-series data.
  4. 4. Query Performance: QuestDB is designed to offer exceptional query performance for time-series data, providing specialized functions and optimized storage formats like compressed columns. It also supports distributed query execution across multiple nodes. Galera Cluster focuses more on delivering synchronous replication and ensuring data integrity across the cluster, with query performance being a secondary consideration.
  5. 5. Clustering Mechanism: Galera Cluster utilizes the Galera Replication Plugin, which is integrated directly into the MariaDB or MySQL servers. It operates on a multi-master model where each node is capable of accepting write operations. QuestDB, on the other hand, does not utilize Galera replication and instead relies on its own clustering mechanism for reading and writing data across multiple nodes.
  6. 6. Community and Ecosystem: Galera Cluster benefits from being built on top of popular relational database systems like MariaDB and MySQL, which have large and active communities, extensive documentation, and support from various tools and frameworks. QuestDB is a newer and more focused database solution dedicated to time-series data, with a growing community and ecosystem that is specifically tailored towards time-series use cases.

In summary, Galera Cluster provides synchronous multi-master replication for distributed databases, while QuestDB focuses on high-performance time-series data storage and querying with its own clustering mechanism. Galera Cluster offers full ACID compliance and a standard relational data model, while QuestDB specializes in optimized storage and query performance for time-series data.

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Detailed Comparison

Galera Cluster
Galera Cluster
QuestDB
QuestDB

It’s an easy-to-use, high-availability solution, which provides high system up-time, no data loss and scalability for future growth. You can Keep it up and running 24/7. Putting our expertise to use will help you avoid trial and error.

QuestDB is an open source database for time series, events, and analytical workloads with a primary focus on performance. It enhances ANSI SQL with time series extensions.

True Multi-master Read and write to any node at any time; Synchronous Replication No slave lag, no data is lost at node crash; Tightly Coupled All nodes hold the same state; Multi-threaded Slave For better performance.
Relational model for time series; SIMD accelerated queries; Time partitioned; Heavy parallelization; Scalable ingestion; Immediate consistency; Time series and relational joins; Native InfluxDB line protocol; Grafana through Postgres wire support; Schema or schema-free; Aggregations and down sampling
Statistics
GitHub Stars
-
GitHub Stars
16.3K
GitHub Forks
-
GitHub Forks
1.5K
Stacks
54
Stacks
19
Followers
102
Followers
50
Votes
0
Votes
17
Pros & Cons
No community feedback yet
Pros
  • 2
    Real-time analytics
  • 2
    Time-series data analysis
  • 2
    Open source
  • 2
    SQL
  • 2
    Postgres wire protocol
Integrations
MongoDB
MongoDB
PostgreSQL
PostgreSQL
Oracle
Oracle
MySQL
MySQL
SQLFlow
SQLFlow
MariaDB
MariaDB
InfluxDB
InfluxDB
Java
Java
PostgreSQL
PostgreSQL

What are some alternatives to Galera Cluster, QuestDB?

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.

dbForge Studio for MySQL

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

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.

dbForge Studio for Oracle

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.

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