Citus vs Percona Server for MongoDB

Overview

Citus

Stacks60

Followers124

Votes11

GitHub Stars12.0K

Forks736

Percona Server for MongoDB

Stacks14

Followers27

Votes0

GitHub Stars231

Forks66

Citus vs Percona Server for MongoDB: What are the differences?

Introduction: In the realm of database management, Citus and Percona Server for MongoDB stand out as two popular options. Understanding the key differences between the two can help in making an informed decision for specific use cases.

Scalability: Citus is known for its ability to horizontally scale out Postgres databases, breaking them into smaller, more manageable pieces that can be distributed across multiple machines for better performance. In contrast, Percona Server for MongoDB offers sharding capabilities for scaling MongoDB databases horizontally, allowing users to handle large volumes of data by distributing them across multiple nodes.
Data Model: Citus extends PostgreSQL to support distributed tables, enabling users to leverage relational database features in a distributed environment. On the other hand, Percona Server for MongoDB is built on MongoDB's document-based data model, which is highly flexible and JSON-like, making it suitable for storing unstructured or semi-structured data.
Consistency vs. Speed: Citus focuses on delivering strong consistency guarantees by ensuring that all nodes in the cluster have the most up-to-date data, which can sometimes result in slower read and write operations. Percona Server for MongoDB, on the other hand, prioritizes speed and performance, offering eventual consistency to improve scalability and reduce latency, especially in distributed environments.
Query Language: Citus allows users to write SQL queries against distributed tables, making it easier for those familiar with SQL to work with distributed data. Percona Server for MongoDB, being built on MongoDB, utilizes the MongoDB Query Language (MQL), which is specifically designed for querying and manipulating documents within a MongoDB database.
Transaction Support: Citus extends the PostgreSQL database to support distributed transactions, ensuring that transactional semantics are maintained even in a distributed environment. Percona Server for MongoDB, while offering transactions at the document level, lacks full support for distributed transactions across multiple nodes.

In Summary, Citus excels in scalability and consistency with its distributed tables and strong consistency guarantees, while Percona Server for MongoDB shines in speed and flexibility with its focus on sharding, MongoDB's data model, and eventual consistency.

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CLI (Node.js)

Manual

Detailed Comparison

Citus	Percona Server for MongoDB
It's an extension to Postgres that distributes data and queries in a cluster of multiple machines. Its query engine parallelizes incoming SQL queries across these servers to enable human real-time (less than a second) responses on large datasets.	It is a free, enhanced, fully compatible, open source, drop-in replacement for the MongoDB Community Edition that includes enterprise-grade features and functionality. Its storage engine options and enterprise-grade functionality provide enterprises with far greater flexibility for managing their database infrastructures.
Multi-Node Scalable PostgreSQL;Built-in Replication and High Availability;Real-time Reads/Writes On Multiple Nodes;Multi-core Parallel Processing of Queries;Tenant isolation	WiredTiger; MMAPv1; Percona Memory Engine; MongoRocks; Hot Backup for WiredTiger and MongoRocks; Audit Logging; External SASL Authentication; Profiling Rate Limit; Geospatial Indexes; Text Search
Statistics
GitHub Stars 12.0K	GitHub Stars 231
GitHub Forks 736	GitHub Forks 66
Stacks 60	Stacks 14
Followers 124	Followers 27
Votes 11	Votes 0
Pros & Cons
Pros 6 Multi-core Parallel Processing 3 Drop-in PostgreSQL replacement 2 Distributed with Auto-Sharding	No community feedback yet
Integrations
.NET Apache Spark Loggly Java Rails Datadog Logentries Heroku Papertrail PostgreSQL	CentOS Azure Active Directory OpenLDAP Debian Ubuntu

What are some alternatives to Citus, Percona Server for 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

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.

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.

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

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.

Related Comparisons

Citus vs Percona Server for MongoDB: What are the differences?

Scalability: Citus is known for its ability to horizontally scale out Postgres databases, breaking them into smaller, more manageable pieces that can be distributed across multiple machines for better performance. In contrast, Percona Server for MongoDB offers sharding capabilities for scaling MongoDB databases horizontally, allowing users to handle large volumes of data by distributing them across multiple nodes.
Data Model: Citus extends PostgreSQL to support distributed tables, enabling users to leverage relational database features in a distributed environment. On the other hand, Percona Server for MongoDB is built on MongoDB's document-based data model, which is highly flexible and JSON-like, making it suitable for storing unstructured or semi-structured data.
Consistency vs. Speed: Citus focuses on delivering strong consistency guarantees by ensuring that all nodes in the cluster have the most up-to-date data, which can sometimes result in slower read and write operations. Percona Server for MongoDB, on the other hand, prioritizes speed and performance, offering eventual consistency to improve scalability and reduce latency, especially in distributed environments.
Query Language: Citus allows users to write SQL queries against distributed tables, making it easier for those familiar with SQL to work with distributed data. Percona Server for MongoDB, being built on MongoDB, utilizes the MongoDB Query Language (MQL), which is specifically designed for querying and manipulating documents within a MongoDB database.
Transaction Support: Citus extends the PostgreSQL database to support distributed transactions, ensuring that transactional semantics are maintained even in a distributed environment. Percona Server for MongoDB, while offering transactions at the document level, lacks full support for distributed transactions across multiple nodes.

Citus vs Percona Server for MongoDB

Overview