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ElephantSQL vs Google Cloud SQL for PostgreSQL: What are the differences?
Introduction
This Markdown code presents the key differences between ElephantSQL and Google Cloud SQL for PostgreSQL. Both are cloud-based PostgreSQL database services, but they have several differences that set them apart.
1. Pricing Model: ElephantSQL offers a simple and transparent pricing model, with costs based on the size of the database and the resources used. On the other hand, Google Cloud SQL for PostgreSQL has a more complex pricing structure, where costs are determined by factors such as CPU usage, storage, and network egress.
2. Managed Service Offerings: ElephantSQL provides a fully managed service, where the database infrastructure and maintenance tasks are handled by their team. With Google Cloud SQL for PostgreSQL, while it is also a managed service, there is more flexibility and control over the database configuration and management tasks.
3. Scalability: ElephantSQL offers automatic vertical scaling, allowing users to easily increase or decrease the resources allocated to their database. On the contrary, Google Cloud SQL for PostgreSQL supports both vertical and horizontal scaling. This means that users can add more resources to a single instance or distribute the workload across multiple instances.
4. Integration with Other Services: Google Cloud SQL for PostgreSQL has seamless integration with other Google Cloud services such as Google Cloud Storage, BigQuery, and Dataflow. These integrations enable users to leverage the full power of the Google Cloud ecosystem for data storage, analytics, and processing. ElephantSQL, on the other hand, does not provide such integrations and primarily focuses on providing a robust PostgreSQL database service.
5. Backup and Recovery: ElephantSQL offers automatic daily backups and allows users to create manual backups for point-in-time recovery. Google Cloud SQL for PostgreSQL also provides automated backups but offers additional features such as backups encryption and manual backups restoration.
6. Data Centers and Regions: ElephantSQL provides data centers in multiple regions around the world, including Europe, North America, and Asia. However, the selection of specific regions for database deployment may be limited. In contrast, Google Cloud SQL for PostgreSQL allows users to choose from a wide range of data centers and regions, offering more flexibility when it comes to choosing the geographical location for database hosting.
In summary, ElephantSQL and Google Cloud SQL for PostgreSQL differ in their pricing models, managed service offerings, scalability options, integration with other services, backup and recovery features, as well as the availability of data centers and regions for database deployment.
Advice on ElephantSQL and Google Cloud SQL for PostgreSQL
Jorge Perez
Considering moving part of our PostgreSQL database infrastructure to the cloud, however, not quite sure between AWS, Heroku, Azure and Google cloud. Things to consider: The main reason is for backing up and centralize all our data in the cloud. With that in mind the main elements are: -Pricing for storage. -Small team. -No need for high throughput. -Support for docker swarm and Kubernetes.
Replies (2)
David Weinberg
Software Developer · | 1 upvotes · 48.8K views
Good balance between easy to manage, pricing, docs and features.
Max Musing
Founder & CEO at BaseDash · | 1 upvotes · 49K views
DigitalOcean's offering is pretty solid. Easy to scale, great UI, automatic daily backups, decent pricing.
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Pros of Google Cloud SQL for PostgreSQL
Pros of ElephantSQL
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- Easy setup1
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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.
What is Google Cloud SQL for PostgreSQL?
With Cloud SQL for PostgreSQL, you can spend less time on your database operations and more time on your applications.
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What companies use ElephantSQL?
What companies use Google Cloud SQL for PostgreSQL?
What companies use ElephantSQL?
What companies use Google Cloud SQL for PostgreSQL?
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What tools integrate with ElephantSQL?
What tools integrate with Google Cloud SQL for PostgreSQL?
What tools integrate with ElephantSQL?
What tools integrate with Google Cloud SQL for PostgreSQL?
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What are some alternatives to ElephantSQL and Google Cloud SQL for PostgreSQL?
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.