Open PostgreSQL Monitoring vs Slick

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Open PostgreSQL Monitoring

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150
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Slick

9.2K
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Open PostgreSQL Monitoring vs Slick: What are the differences?

Open PostgreSQL Monitoring: Oversee and Manage Your PostgreSQL Servers. Open PostgreSQL Monitoring is a free software designed to help you manage your PostgreSQL servers; Slick: Database query and access library for Scala. It is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred.

Open PostgreSQL Monitoring and Slick can be primarily classified as "Database" tools.

Open PostgreSQL Monitoring and Slick are both open source tools. Slick with 2.27K GitHub stars and 542 forks on GitHub appears to be more popular than Open PostgreSQL Monitoring with 148 GitHub stars and 10 GitHub forks.

orat.io, Massdrop, and SpringRole are some of the popular companies that use Slick, whereas Open PostgreSQL Monitoring is used by ALV CH, Atixx, and Icalia Labs. Slick has a broader approval, being mentioned in 7789 company stacks & 4 developers stacks; compared to Open PostgreSQL Monitoring, which is listed in 24 company stacks and 99 developer stacks.

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What is Open PostgreSQL Monitoring?

Open PostgreSQL Monitoring is a free software designed to help you manage your PostgreSQL servers.

What is Slick?

It is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred.

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What companies use Open PostgreSQL Monitoring?
What companies use Slick?
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What tools integrate with Open PostgreSQL Monitoring?
What tools integrate with Slick?

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What are some alternatives to Open PostgreSQL Monitoring and Slick?
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
See all alternatives