Amazon FSx for OpenZFS vs PostgreSQL
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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. | It enables you to launch, run, and scale fully managed file systems on AWS that replace the ZFS or other Linux-based file servers you run on premises while helping to provide better agility and lower costs. It provides fully-featured and highly-performant file storage powered by your choice of widely-used file systems that include NetApp ONTAP, Windows File Server, and Lustre. FSx for OpenZFS file systems are accessible from Linux, Windows, and macOS compute instances and containers via the industry-standard NFS protocol. |
| - | Easily migrate Linux file servers to AWS with file storage that matches or exceeds capabilities you rely on today and is accessible via the NFS protocol;
Simplify building and testing applications using OpenZFS instant data snapshots and data cloning;
Accelerate workloads with high-performance storage delivering up to 1 million IOPS with just a few hundred microseconds of latency;
Optimize costs with a few clicks by scaling throughput levels and enabling storage efficiency capabilities such as data compression |
Statistics | |
GitHub Stars 19.0K | GitHub Stars - |
GitHub Forks 5.2K | GitHub Forks - |
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Followers 83.9K | Followers 1 |
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What are some alternatives to PostgreSQL, Amazon FSx for OpenZFS?
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.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
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.
