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Hadoop vs PostGIS: What are the differences?

Hadoop: Open-source software for reliable, scalable, distributed computing. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage; 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.

Hadoop and PostGIS are primarily classified as "Databases" and "Database" tools respectively.

"Great ecosystem" is the primary reason why developers consider Hadoop over the competitors, whereas "De facto GIS in SQL" was stated as the key factor in picking PostGIS.

Hadoop and PostGIS are both open source tools. It seems that Hadoop with 9.18K GitHub stars and 5.74K forks on GitHub has more adoption than PostGIS with 636 GitHub stars and 242 GitHub forks.

According to the StackShare community, Hadoop has a broader approval, being mentioned in 237 company stacks & 116 developers stacks; compared to PostGIS, which is listed in 53 company stacks and 14 developer stacks.

What is Hadoop?

The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.

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.
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Why do developers choose Hadoop?
Why do developers choose PostGIS?
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      What companies use Hadoop?
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      What tools integrate with Hadoop?
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      What are some alternatives to Hadoop and PostGIS?
      Cassandra
      Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
      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.
      Elasticsearch
      Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
      Splunk
      Splunk Inc. provides the leading platform for Operational Intelligence. Customers use Splunk to search, monitor, analyze and visualize machine data.
      HBase
      Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.
      See all alternatives
      Decisions about Hadoop and PostGIS
      StackShare Editors
      StackShare Editors
      Apache Thrift
      Apache Thrift
      Kotlin
      Kotlin
      Presto
      Presto
      HHVM (HipHop Virtual Machine)
      HHVM (HipHop Virtual Machine)
      gRPC
      gRPC
      Kubernetes
      Kubernetes
      Apache Spark
      Apache Spark
      Airflow
      Airflow
      Terraform
      Terraform
      Hadoop
      Hadoop
      Swift
      Swift
      Hack
      Hack
      Memcached
      Memcached
      Consul
      Consul
      Chef
      Chef
      Prometheus
      Prometheus

      Since the beginning, Cal Henderson has been the CTO of Slack. Earlier this year, he commented on a Quora question summarizing their current stack.

      Apps
      • Web: a mix of JavaScript/ES6 and React.
      • Desktop: And Electron to ship it as a desktop application.
      • Android: a mix of Java and Kotlin.
      • iOS: written in a mix of Objective C and Swift.
      Backend
      • The core application and the API written in PHP/Hack that runs on HHVM.
      • The data is stored in MySQL using Vitess.
      • Caching is done using Memcached and MCRouter.
      • The search service takes help from SolrCloud, with various Java services.
      • The messaging system uses WebSockets with many services in Java and Go.
      • Load balancing is done using HAproxy with Consul for configuration.
      • Most services talk to each other over gRPC,
      • Some Thrift and JSON-over-HTTP
      • Voice and video calling service was built in Elixir.
      Data warehouse
      • Built using open source tools including Presto, Spark, Airflow, Hadoop and Kafka.
      Etc
      See more
      Interest over time
      Reviews of Hadoop and PostGIS
      No reviews found
      How developers use Hadoop and PostGIS
      Avatar of Pinterest
      Pinterest uses HadoopHadoop

      The MapReduce workflow starts to process experiment data nightly when data of the previous day is copied over from Kafka. At this time, all the raw log requests are transformed into meaningful experiment results and in-depth analysis. To populate experiment data for the dashboard, we have around 50 jobs running to do all the calculations and transforms of data.

      Avatar of Yelp
      Yelp uses HadoopHadoop

      in 2009 we open sourced mrjob, which allows any engineer to write a MapReduce job without contending for resources. We鈥檙e only limited by the amount of machines in an Amazon data center (which is an issue we鈥檝e rarely encountered).

      Avatar of Pinterest
      Pinterest uses HadoopHadoop

      The massive volume of discovery data that powers Pinterest and enables people to save Pins, create boards and follow other users, is generated through daily Hadoop jobs...

      Avatar of Kalibrr
      Kalibrr uses PostGISPostGIS

      PostGIS makes it easy (and fast) to do geographic queries, such as nearest-neighbor and bounding box queries.

      Avatar of Sail Tactics
      Sail Tactics uses PostGISPostGIS

      Backend for weather forecast data that Geoserver queries to build updated weather maps

      Avatar of Robert Brown
      Robert Brown uses HadoopHadoop

      Importing/Exporting data, interpreting results. Possible integration with SAS

      Avatar of Rohith Nandakumar
      Rohith Nandakumar uses HadoopHadoop

      TBD. Good to have I think. Analytics on loads of data, recommendations?

      Avatar of Mathias Vonende
      Mathias Vonende uses PostGISPostGIS

      Storage for geo data.

      Avatar of DNT
      DNT uses PostGISPostGIS

      Geospatial queries

      How much does Hadoop cost?
      How much does PostGIS cost?
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