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

Galera Cluster vs Humongous.io

OverviewComparisonAlternatives

Overview

Humongous.io
Humongous.io
Stacks7
Followers14
Votes2
Galera Cluster
Galera Cluster
Stacks54
Followers102
Votes0

Galera Cluster vs Humongous.io: What are the differences?

# Introduction

1. **Scalability**:
   Galera Cluster is a synchronous multi-master cluster for MariaDB/MySQL, providing high availability and high scalability. On the other hand, Humongous.io is a storage solution for unstructured data that offers horizontal scalability by distributing data across multiple servers. The key difference in terms of scalability is that Galera Cluster is focused on databases while Humongous.io is designed for unstructured data storage.

2. **Data Structure**:
   Galera Cluster is centered around relational databases such as MariaDB/MySQL and ensures ACID compliance for transactions. In contrast, Humongous.io is specifically built for handling unstructured, document-oriented data using MongoDB. This difference in data structure highlights the diverse use cases catered to by each solution.

3. **Consistency Model**:
   Galera Cluster enforces strong consistency with synchronous replication among nodes to maintain data integrity. Meanwhile, Humongous.io follows eventual consistency, allowing for faster data retrieval by potentially sacrificing immediate consistency. This choice in consistency model influences the trade-offs between consistency, availability, and partition tolerance in the two systems.

4. **Deployment Complexity**:
   Galera Cluster requires database administrators to configure, manage, and monitor database clusters, ensuring data replication and failover mechanisms are correctly set up. In contrast, Humongous.io abstracts much of the complexity by offering a managed service for data storage, reducing the deployment overhead for users looking for a more hands-off solution.

5. **Data Handling**:
   Galera Cluster excels in handling relational database structures, supporting SQL queries and transactions typical in traditional database systems. Conversely, Humongous.io is tailored for managing and querying unstructured data in the form of JSON documents, allowing for more flexible and schema-less data storage and retrieval.

6. **Conflict Resolution**:
   In Galera Cluster, conflicts arising from concurrent writes are resolved using a certification-based approach to maintain data consistency across all nodes. However, Humongous.io leverages MongoDB's automatic conflict resolution mechanisms, such as last-write-wins or custom conflict resolution rules, to handle conflicts within the distributed document store.

In Summary, Galera Cluster and Humongous.io differ in scalability focus, data structure support, consistency models, deployment complexity, data handling capabilities, and conflict resolution mechanisms.

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Detailed Comparison

Humongous.io
Humongous.io
Galera Cluster
Galera Cluster

HumongouS offers an incredible and slick out-of-the-box user experience. Just plug in your mongoDB database and you're up and running in minutes. No coding, no configuration needed.

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.

mongoDB Dashboard, Aggregation Widgets, Easy to Set Up, Free, Advanced Search, SSL Connections, Custom Branding, Edit Collection Feature
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.
Statistics
Stacks
7
Stacks
54
Followers
14
Followers
102
Votes
2
Votes
0
Pros & Cons
Pros
  • 2
    Easy setup
No community feedback yet
Integrations
MongoDB
MongoDB
MongoLab
MongoLab
Compose
Compose
MongoDB
MongoDB
PostgreSQL
PostgreSQL
Oracle
Oracle
MySQL
MySQL
SQLFlow
SQLFlow
MariaDB
MariaDB

What are some alternatives to Humongous.io, Galera Cluster?

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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