BedquiltDB vs Massive vs PostGIS

Need advice about which tool to choose?Ask the StackShare community!

BedquiltDB

2
13
+ 1
0
Massive

0
14
+ 1
0
PostGIS

365
369
+ 1
30
Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More
Pros of BedquiltDB
Pros of Massive
Pros of PostGIS
    Be the first to leave a pro
      Be the first to leave a pro
      • 25
        De facto GIS in SQL
      • 5
        Good Documentation

      Sign up to add or upvote prosMake informed product decisions

      - No public GitHub repository available -

      What is BedquiltDB?

      BedquiltDB is an open-source PostgreSQL extension and set of code libraries, which wraps the PostgreSQL jsonb data type in a slick programmatic API inspired by NoSQL document stores.

      What is Massive?

      Massive's goal is to help you get data from your database. This is not an ORM, it's a bit more than a query tool - our goal is to do just enough, then get out of your way. Massive embraces SQL completely, and helps you out when you don't feel like writing another mundane select * from statement.

      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.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use BedquiltDB?
      What companies use Massive?
      What companies use PostGIS?
        No companies found
          No companies found

          Sign up to get full access to all the companiesMake informed product decisions

          What tools integrate with BedquiltDB?
          What tools integrate with Massive?
          What tools integrate with PostGIS?

          Blog Posts

          JavaScriptGitHubNode.js+26
          20
          4949
          What are some alternatives to BedquiltDB, Massive, and PostGIS?
          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.
          Dataform
          Dataform helps you manage all data processes in your cloud data warehouse. Publish tables, write data tests and automate complex SQL workflows in a few minutes, so you can spend more time on analytics and less time managing infrastructure.
          DB
          With DB you can very easily save, restore, and archive snapshots of your database from the command line. It supports connecting to different database servers (for example a local development server and a staging or production server) and allows you to load a database dump from one environment into another environment.
          Liquibase
          Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.
          See all alternatives