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Elasticsearch vs PostgreSQL

Elasticsearch and PostgreSQL are both listed under Databases in the DevPages directory. This page puts the details we hold for each of them side by side.

It does not score them and does not pick a winner. Fields the catalog has no value for say “Not recorded” rather than being filled in with a guess.

Elasticsearch vs PostgreSQL field by field

Elasticsearch, PostgreSQL compared field by field. Values are taken from the DevPages catalog; fields we hold no value for read “Not recorded”.
Elasticsearch
PostgreSQL
CategoryDatabasesDatabases
Pricing modelFreemiumOpen Source
Open sourceYesYes
GitHub stars78.5K22.7K
Key features
  • Full-text search with relevance scoring
  • Distributed architecture and clustering
  • Real-time data ingestion and indexing
  • Powerful aggregations and analytics
  • Multi-tenancy and security features
  • RESTful API and JSON documents
  • Machine learning capabilities
  • Geospatial and time-series support
  • ACID compliance and transactions
  • Advanced SQL features and window functions
  • JSON and JSONB data types
  • Full-text search capabilities
  • Geospatial data support with PostGIS
  • Custom data types and functions
  • Streaming replication and high availability
  • Extensive indexing options
Use cases
  • Application and website search
  • Log and event data analysis
  • Business intelligence and analytics
  • Security information and event management
  • E-commerce product search
  • Real-time application monitoring
  • Geospatial data analysis
  • Machine learning and AI applications
  • Web application backends
  • Data warehousing and analytics
  • Geospatial applications
  • Financial and e-commerce systems
  • Content management systems
  • Time-series data storage
  • Multi-tenant applications
  • Enterprise data management
Integrations
  • Kibana
  • Logstash
  • Beats
  • Java
  • Python
  • Node.js
  • Spring Data
  • Docker
  • Django
  • Rails
  • Node.js
  • Java
  • Python
  • Kubernetes
  • Docker
  • Grafana
Tags
  • search
  • analytics
  • full-text
  • distributed
  • lucene
  • elk-stack
  • sql
  • relational
  • acid
  • json
  • geospatial
  • full-text-search
Links

What each one is

Elasticsearch

Distributed search and analytics engine built on Apache Lucene

Elasticsearch is a distributed, RESTful search and analytics engine capable of addressing a growing number of use cases. Built on Apache Lucene, it provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents. It's the heart of the Elastic Stack.

Full Elasticsearch listing

PostgreSQL

Advanced open-source relational database with powerful features

PostgreSQL is a powerful, open-source object-relational database system with a strong reputation for reliability, feature robustness, and performance. It supports both SQL and JSON querying, making it a versatile choice for modern applications. PostgreSQL offers advanced features like custom data types, full-text search, and geospatial data support.

Full PostgreSQL listing

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