What is ElephantSQL?
ElephantSQL hosts PostgreSQL on Amazon EC2 in multiple regions and availability zones. The servers are continuously transferring the Write-Ahead-Log (the transaction log) to S3 for maximum reliability.
ElephantSQL is a tool in the PostgreSQL as a Service category of a tech stack.
Who uses ElephantSQL?
Companies
Developers
12 developers on StackShare have stated that they use ElephantSQL.
ElephantSQL Integrations
Amazon EC2, Heroku, Google Compute Engine, dbForge Studio for PostgreSQL, and SoftLayer are some of the popular tools that integrate with ElephantSQL. Here's a list of all 8 tools that integrate with ElephantSQL.
Pros of ElephantSQL
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ElephantSQL's Features
- Continuous backup to S3
- Automatic failover
- 24/7 monitoring
- Extenstions- HStore, Full Text search, Crypto and many more.
- Latest version- ElephantSQL always boosts the latest stable version of PostgreSQL.
ElephantSQL Alternatives & Comparisons
What are some alternatives to ElephantSQL?
Heroku
Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.
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.
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.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
