Atlas-DB vs PostGIS vs PSequel

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Atlas-DB

6
78
+ 1
0
PostGIS

365
369
+ 1
30
PSequel

11
17
+ 1
9
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Pros of Atlas-DB
Pros of PostGIS
Pros of PSequel
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    • 25
      De facto GIS in SQL
    • 5
      Good Documentation
    • 3
      Free
    • 3
      Simplest Postgres client
    • 3
      Doesn't try to upsell you with premium features

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    Cons of Atlas-DB
    Cons of PostGIS
    Cons of PSequel
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        Be the first to leave a con
        • 2
          No CSV export

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        - No public GitHub repository available -

        What is Atlas-DB?

        Atlas was developed by Netflix to manage dimensional time series data for near real-time operational insight. Atlas features in-memory data storage, allowing it to gather and report very large numbers of metrics, very quickly.

        What is PostGIS?

        PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL.

        What is PSequel?

        Designed for Yosemite. Written in Swift. PSequel provides a clean and simple interface to perform common PostgreSQL tasks quickly.

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        What companies use Atlas-DB?
        What companies use PostGIS?
        What companies use PSequel?

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        What tools integrate with Atlas-DB?
        What tools integrate with PostGIS?
        What tools integrate with PSequel?
          No integrations found
            No integrations found

            Blog Posts

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            What are some alternatives to Atlas-DB, PostGIS, and PSequel?
            MongoDB Atlas
            MongoDB Atlas is a global cloud database service built and run by the team behind MongoDB. Enjoy the flexibility and scalability of a document database, with the ease and automation of a fully managed service on your preferred cloud.
            Azure Cosmos DB
            Azure DocumentDB is a fully managed NoSQL database service built for fast and predictable performance, high availability, elastic scaling, global distribution, and ease of development.
            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.
            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.
            Spring Data
            It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database.
            See all alternatives