DBMS > Elasticsearch vs. Graph Engine

System Properties Comparison Elasticsearch vs. Graph Engine

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Our visitors often compare Elasticsearch and Graph Engine with Neo4j, Microsoft Azure Cosmos DB and Microsoft SQL Server.

Editorial information provided by DB-Engines

Name

Description

A distributed, RESTful modern search and analytics engine based on Apache Lucene info

Elasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric

A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine

Primary database model

Search engine

Graph DBMS
Key-value store

Secondary database models

Document store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	148.40
Rank	#7	Overall
	#1	Search engines

Score	0.56
Rank	#198	Overall
	#16	Graph DBMS
	#33	Key-value stores

Website

www.elastic.co/products/elasticsearch

www.graphengine.io

Technical documentation

www.elastic.co/guide/en/elasticsearch/reference/current/index.html

www.graphengine.io/docs/manual

Developer

Elastic

Microsoft

Initial release

2010

Current release

7.3.0, August 2019

License

Commercial or Open Source

Open Source info

Apache Version 2; Elastic License

Open Source info

MIT License

Cloud-based only info

Only available as a cloud service

DBaaS offerings (sponsored links) info

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Elasticsearch Service on Elastic Cloud: Try out the official hosted Elasticsearch and Kibana offering available on AWS and GCP that's powered by the creators of Elasticsearch.

Implementation language

Java

.NET and C

Server operating systems

All OS with a Java VM

.NET

Data scheme

schema-free info

Flexible type definitions. Once a type is defined, it is persistent

yes

Typing

predefined data types such as float or date

yes

XML support info

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

All search fields are automatically indexed

SQL

Support of SQL

SQL-like query language

APIs and other access methods

Java API
RESTful HTTP/JSON API

RESTful HTTP API

Supported programming languages

.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby

C#
C++
F#
Visual Basic

Server-side scripts info

Stored procedures

yes

Triggers

yes

by using the 'percolation' feature

Partitioning methods info

Methods for storing different data on different nodes

Sharding

horizontal partitioning

Replication methods info

Methods for redundantly storing data on multiple nodes

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

ES-Hadoop Connector

Consistency concepts info

Methods to ensure consistency in a distributed system

Eventual Consistency info

Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all

Foreign keys info

Referential integrity

Transaction concepts info

Support to ensure data integrity after non-atomic manipulations of data

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

optional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage

In-memory capabilities info

Is there an option to define some or all structures to be held in-memory only.

Memcached and Redis integration

yes

More information provided by the system vendor

Specific characteristics

Elasticsearch is a highly scalable open source full-text search and analytics engine....
» more

Competitive advantages

Open source, real-time index, search and analysis, horizontally scalable, distributed,...
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Typical application scenarios

» more

Key customers

» more

Market metrics

More than 250 million cumulative downloads More than 100,000 community members in...
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Licensing and pricing models

The Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
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