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

Heron vs PostGIS

OverviewComparisonAlternatives

Overview

PostGIS
PostGIS
Stacks379
Followers377
Votes30
GitHub Stars2.0K
Forks407
Heron
Heron
Stacks22
Followers63
Votes4

Heron vs PostGIS: What are the differences?

What is Heron? Realtime, distributed, fault-tolerant stream processing engine from Twitter. Heron is realtime analytics platform developed by Twitter. It is the direct successor of Apache Storm, built to be backwards compatible with Storm's topology API but with a wide array of architectural improvements.

What is PostGIS? 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.

Heron can be classified as a tool in the "Stream Processing" category, while PostGIS is grouped under "Database Tools".

Heron and PostGIS are both open source tools. Heron with 3.38K GitHub stars and 600 forks on GitHub appears to be more popular than PostGIS with 645 GitHub stars and 246 GitHub forks.

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Manual

Detailed Comparison

PostGIS
PostGIS
Heron
Heron

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.

Heron is realtime analytics platform developed by Twitter. It is the direct successor of Apache Storm, built to be backwards compatible with Storm's topology API but with a wide array of architectural improvements.

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
-
Statistics
GitHub Stars
2.0K
GitHub Stars
-
GitHub Forks
407
GitHub Forks
-
Stacks
379
Stacks
22
Followers
377
Followers
63
Votes
30
Votes
4
Pros & Cons
Pros
  • 25
    De facto GIS in SQL
  • 5
    Good Documentation
Pros
  • 1
    Highly Customizable
  • 1
    Operation friendly
  • 1
    Realtime Stream Processing
  • 1
    Support most popular container environment
Integrations
PostgreSQL
PostgreSQL
No integrations available

What are some alternatives to PostGIS, Heron?

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dbForge Studio for MySQL

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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.

Liquibase

Liquibase

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Sequel Pro

Sequel Pro

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DBeaver

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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.

Apache NiFi

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dbForge SQL Complete

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Knex.js

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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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