Cassandra vs Percona Server for MongoDB

Overview

Cassandra

Stacks3.6K

Followers3.5K

Votes507

GitHub Stars9.5K

Forks3.8K

Percona Server for MongoDB

Stacks14

Followers27

Votes0

GitHub Stars231

Forks66

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

Developers describe Cassandra as "A partitioned row store. Rows are organized into tables with a required primary key". 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. On the other hand, Percona Server for MongoDB is detailed as "Open source, drop-in replacement for the MongoDB". 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.

Cassandra and Percona Server for MongoDB belong to "Databases" category of the tech stack.

Cassandra and Percona Server for MongoDB are both open source tools. It seems that Cassandra with 5.41K GitHub stars and 2.4K forks on GitHub has more adoption than Percona Server for MongoDB with 92 GitHub stars and 31 GitHub forks.

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Advice on Cassandra, Percona Server for MongoDB

Vinay

Head of Engineering

Sep 19, 2019

Needs advice

The problem I have is - we need to process & change(update/insert) 55M Data every 2 min and this updated data to be available for Rest API for Filtering / Selection. Response time for Rest API should be less than 1 sec.

The most important factors for me are processing and storing time of 2 min. There need to be 2 views of Data One is for Selection & 2. Changed data.

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Comments

Detailed Comparison

Cassandra	Percona Server for MongoDB
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.	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.
-	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 9.5K	GitHub Stars 231
GitHub Forks 3.8K	GitHub Forks 66
Stacks 3.6K	Stacks 14
Followers 3.5K	Followers 27
Votes 507	Votes 0
Pros & Cons
Pros 119 Distributed 98 High performance 81 High availability 74 Easy scalability 53 Replication Cons 3 Reliability of replication 1 Size 1 Updates	No community feedback yet
Integrations
No integrations available	CentOS Azure Active Directory OpenLDAP Debian Ubuntu

What are some alternatives to Cassandra, 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.

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.

InfluxDB

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.