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Database Labs vs PaaS DB PostgreSQL: What are the differences?
Developers describe Database Labs as "Deploy a cloud Postgres server in 1 minute". We manage an optimized Postgres image. You focus on your core app, not on becoming a database administrator. On the other hand, PaaS DB PostgreSQL is detailed as "Get a managed database ready to use". A simple product to get an operational database without any pain about server management, security settings and upgrading. We provide resources to instanciate your database (PostgreSQL 9.4). Our goal is to propose this service with an hourly billing.
Database Labs and PaaS DB PostgreSQL belong to "PostgreSQL as a Service" category of the tech stack.
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Pros of PaaS DB PostgreSQL
Pros of Database Labs
- Superb customer service, and ready to go out of the box1
- Fastest, most effective support desk I've ever seen1
Pros of PaaS DB PostgreSQL
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What is Database Labs?
We manage an optimized Postgres image. You focus on your core app, not on becoming a database administrator.
What is PaaS DB PostgreSQL?
A simple product to get an operational database without any pain about server management, security settings and upgrading. We provide resources to instanciate your database (PostgreSQL 9.4). Our goal is to propose this service with an hourly billing.
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What tools integrate with Database Labs?
What tools integrate with PaaS DB PostgreSQL?
What tools integrate with Database Labs?
No integrations found
What tools integrate with PaaS DB PostgreSQL?
What are some alternatives to Database Labs and PaaS DB PostgreSQL?
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.
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