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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Noms vs Percona

Noms vs Percona

OverviewComparisonAlternatives

Overview

Percona
Percona
Stacks143
Followers101
Votes0
Noms
Noms
Stacks3
Followers24
Votes0
GitHub Stars7.4K
Forks267

Noms vs Percona: What are the differences?

  1. Data Model Differences: Noms utilizes a data model based on structured data, while Percona focuses on relational database management systems (RDBMS) with ACID compliance.
  2. Storage Architecture: Noms uses a novel storage architecture known as M-Tree, providing efficient storage and retrieval capabilities, whereas Percona typically relies on traditional storage engines like InnoDB or MyISAM.
  3. Distributed Capabilities: Noms is designed with built-in support for distributed data storage and access, enabling seamless collaboration and scalability across different nodes, whereas Percona requires additional configurations and tools for distributed setups.
  4. Query Language: Noms uses its own query language called Nx. In contrast, Percona supports SQL queries, making it more familiar to users familiar with standard database languages.
  5. Versioning and Change Tracking: Noms has built-in versioning and change tracking capabilities, allowing users to track data changes easily, while Percona may require additional tools or configurations for similar functionality.
  6. Backup and Restore Functionality: Noms has unique backup and restore functionality that allows for efficient snapshots and recovery processes, whereas Percona relies on standard backup and restore mechanisms like mysqldump or Percona Xtrabackup.

In Summary, Noms and Percona differ in terms of data model, storage architecture, distributed capabilities, query language, versioning, and backup functionality.

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Detailed Comparison

Percona
Percona
Noms
Noms

It delivers enterprise-class software, support, consulting and managed services for both MySQL and MongoDB across traditional and cloud-based platforms.

Noms is a new database that makes it easy to store, move, and collaborate on large-scale structured data. Noms gives you the entire Git workflow, but for large-scale structured (or unstructured) data. Fork, merge, track history, efficiently synchronize changes, etc.

Storing Key ring in a File; Encrypt InnoDB Data; Encrypt InnoDB Logs
-
Statistics
GitHub Stars
-
GitHub Stars
7.4K
GitHub Forks
-
GitHub Forks
267
Stacks
143
Stacks
3
Followers
101
Followers
24
Votes
0
Votes
0
Integrations
MySQL
MySQL
SQLite
SQLite
MongoDB
MongoDB
No integrations available

What are some alternatives to Percona, Noms?

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.

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.

RethinkDB

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

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.

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