Software Alternatives & Reviews

PostGIS VS Apache Spark

Compare PostGIS VS Apache Spark and see what are their differences

PostGIS logo PostGIS

Open source spatial database

Apache Spark logo Apache Spark

Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
  • PostGIS Landing page
    Landing page //
    2021-12-18
  • Apache Spark Landing page
    Landing page //
    2021-12-31

PostGIS videos

Como Instalar o PostgreSQL com PostGIS | ALL com GEO

More videos:

  • Review - Paul Ramsey: This Is PostGIS
  • Review - A New Dimension To PostGIS : 3D

Apache Spark videos

Weekly Apache Spark live Code Review -- look at StringIndexer multi-col (Scala) & Python testing

More videos:

  • Review - What's New in Apache Spark 3.0.0
  • Review - Apache Spark for Data Engineering and Analysis - Overview

Category Popularity

0-100% (relative to PostGIS and Apache Spark)
Maps
100 100%
0% 0
Databases
16 16%
84% 84
Database Tools
100 100%
0% 0
Big Data
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare PostGIS and Apache Spark

PostGIS Reviews

The Top 10 Alternatives to ArcGIS
For those in the engineering and GIS community, PostGIS is a well-known open source extension for the PostgreSQL database that allows for spatial data to be stored, managed, and queried. The software enables users to conduct complex geospatial analyses and – because it is built on top of the powerful open-source database PostgreSQL – it can handle large datasets with ease....

Apache Spark Reviews

15 data science tools to consider using in 2021
Apache Spark is an open source data processing and analytics engine that can handle large amounts of data -- upward of several petabytes, according to proponents. Spark's ability to rapidly process data has fueled significant growth in the use of the platform since it was created in 2009, helping to make the Spark project one of the largest open source communities among big...
Top 15 Kafka Alternatives Popular In 2021
Apache Spark is a well-known, general-purpose, open-source analytics engine for large-scale, core data processing. It is known for its high-performance quality for data processing – batch and streaming with the help of its DAG scheduler, query optimizer, and engine. Data streams are processed in real-time and hence it is quite fast and efficient. Its machine learning...
5 Best-Performing Tools that Build Real-Time Data Pipeline
Apache Spark is an open-source and flexible in-memory framework which serves as an alternative to map-reduce for handling batch, real-time analytics and data processing workloads. It provides native bindings for the Java, Scala, Python, and R programming languages, and supports SQL, streaming data, machine learning and graph processing. From its beginning in the AMPLab at...

Social recommendations and mentions

Based on our record, Apache Spark seems to be a lot more popular than PostGIS. While we know about 56 links to Apache Spark, we've tracked only 1 mention of PostGIS. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

PostGIS mentions (1)

  • Efficient Distance Querying in MySQL
    This is an interesting article about strategies to use when traditional indexes just won't do, but for the love of the index please use MySQL's (or postgres' or sqlite's) built in spatial index for this particular class of problems. It will does this sort of thing much, much more efficiently than 99% of in house solutions. https://dev.mysql.com/doc/refman/8.0/en/spatial-types.html... - Source: Hacker News / over 2 years ago

Apache Spark mentions (56)

  • Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
    Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / about 2 months ago
  • 🦿🛴Smarcity garbage reporting automation w/ ollama
    Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 3 months ago
  • Go concurrency simplified. Part 4: Post office as a data pipeline
    Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 4 months ago
  • Five Apache projects you probably didn't know about
    Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 4 months ago
  • Spark – A micro framework for creating web applications in Kotlin and Java
    A JVM based framework named "Spark", when https://spark.apache.org exists? - Source: Hacker News / 11 months ago
View more

What are some alternatives?

When comparing PostGIS and Apache Spark, you can also consider the following products

Slick - A jquery plugin for creating slideshows and carousels into your webpage.

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Sequel Pro - MySQL database management for Mac OS X

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

DataGrip - Tool for SQL and databases

Hadoop - Open-source software for reliable, scalable, distributed computing