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  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Tools
  5. Objectify vs PostGIS

Objectify vs PostGIS

OverviewComparisonAlternatives

Overview

PostGIS
PostGIS
Stacks379
Followers377
Votes30
GitHub Stars2.0K
Forks407
Objectify
Objectify
Stacks6
Followers12
Votes0
GitHub Stars729
Forks161

PostGIS vs Objectify: What are the differences?

Developers describe PostGIS as "Open source spatial database". 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. On the other hand, Objectify is detailed as "Java data access API specifically designed for the Google Cloud Datastore". It is a Java data access API specifically designed for the Google Cloud Datastore. It occupies a "middle ground"; easier to use and more transparent than JDO or JPA, but significantly more convenient than the low-level API libraries that Google provides. Objectify is designed to make novices immediately productive yet also expose the full power of the Datastore.

PostGIS and Objectify can be primarily classified as "Database" tools.

Some of the features offered by PostGIS are:

  • Processing and analytic functions for both vector and raster data for splicing, dicing, morphing, reclassifying, and collecting/unioning with the power of SQL
  • raster map algebra for fine-grained raster processing
  • Spatial reprojection SQL callable functions for both vector and raster data

On the other hand, Objectify provides the following key features:

  • Lets you persist, retrieve, delete, and query your own typed objects
  • Surfaces all native datastore features, including batch operations, queries, transactions, asynchronous operations, and partial indexes
  • Provides type-safe key and query classes using Java generics

PostGIS and Objectify are both open source tools. It seems that PostGIS with 728 GitHub stars and 263 forks on GitHub has more adoption than Objectify with 676 GitHub stars and 149 GitHub forks.

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Detailed Comparison

PostGIS
PostGIS
Objectify
Objectify

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.

It is a Java data access API specifically designed for the Google Cloud Datastore. It occupies a "middle ground"; easier to use and more transparent than JDO or JPA, but significantly more convenient than the low-level API libraries that Google provides. Objectify is designed to make novices immediately productive yet also expose the full power of the Datastore.

Processing and analytic functions for both vector and raster data for splicing, dicing, morphing, reclassifying, and collecting/unioning with the power of SQL;raster map algebra for fine-grained raster processing;Spatial reprojection SQL callable functions for both vector and raster data;Support for importing / exporting ESRI shapefile vector data via both commandline and GUI packaged tools and support for more formats via other 3rd-party Open Source tools
Lets you persist, retrieve, delete, and query your own typed objects; Surfaces all native datastore features, including batch operations, queries, transactions, asynchronous operations, and partial indexes; Provides type-safe key and query classes using Java generics; Provides a human-friendly query interface
Statistics
GitHub Stars
2.0K
GitHub Stars
729
GitHub Forks
407
GitHub Forks
161
Stacks
379
Stacks
6
Followers
377
Followers
12
Votes
30
Votes
0
Pros & Cons
Pros
  • 25
    De facto GIS in SQL
  • 5
    Good Documentation
No community feedback yet
Integrations
PostgreSQL
PostgreSQL
Java
Java
Google Cloud Datastore
Google Cloud Datastore

What are some alternatives to PostGIS, Objectify?

dbForge Studio for MySQL

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

dbForge Studio for Oracle

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

dbForge Studio for PostgreSQL

dbForge Studio for PostgreSQL

It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.

dbForge Studio for SQL Server

dbForge Studio for SQL Server

It is a powerful IDE for SQL Server management, administration, development, data reporting and analysis. The tool will help SQL developers to manage databases, version-control database changes in popular source control systems, speed up routine tasks, as well, as to make complex database changes.

Quarkus

Quarkus

It tailors your application for GraalVM and HotSpot. Amazingly fast boot time, incredibly low RSS memory (not just heap size!) offering near instant scale up and high density memory utilization in container orchestration platforms like Kubernetes. We use a technique we call compile time boot.

Liquibase

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.

Sequel Pro

Sequel Pro

Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.

DBeaver

DBeaver

It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.

dbForge SQL Complete

dbForge SQL Complete

It is an IntelliSense add-in for SQL Server Management Studio, designed to provide the fastest T-SQL query typing ever possible.

Knex.js

Knex.js

Knex.js is a "batteries included" SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle designed to be flexible, portable, and fun to use. It features both traditional node style callbacks as well as a promise interface for cleaner async flow control, a stream interface, full featured query and schema builders, transaction support (with savepoints), connection pooling and standardized responses between different query clients and dialects.

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