DBMS > AgensGraph vs. Elasticsearch vs. Graph Engine

System Properties Comparison AgensGraph vs. Elasticsearch vs. Graph Engine

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Editorial information provided by DB-Engines
Name	AgensGraph  Xexclude from comparison	Elasticsearch  Xexclude from comparison	Graph Engine former name: Trinity  Xexclude from comparison
Description	Multi-model database supporting relational and graph data models and built upon PostgreSQL	A distributed, RESTful modern search and analytics engine based on Apache Lucene 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	Graph DBMS Relational DBMS	Search engine	Graph DBMS Key-value store
Secondary database models		Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.07 Rank #326   Overall #33   Graph DBMS #146   Relational DBMS	Score 154.33 Rank #8   Overall #1   Search engines	Score 0.90 Rank #186   Overall #16   Graph DBMS #31   Key-value stores
Website	bitnine.net	www.elastic.co/­elasticsearch	www.graphengine.io
Technical documentation	bitnine.net/­documentation	www.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html	www.graphengine.io/­docs/­manual
Developer	Bitnine Global Inc.	Elastic	Microsoft
Initial release	2016	2010	2010
Current release	2.1, December 2018	7.8.0, June 2020
License Commercial or Open Source	Open Source Apache License 2.0	Open Source Elastic License	Open Source MIT License
Cloud-based only Only available as a cloud service	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	C	Java	.NET and C
Server operating systems	Linux OS X Windows	All OS with a Java VM	.NET
Data scheme	depending on used data model	schema-free Flexible type definitions. Once a type is defined, it is persistent	yes
Typing predefined data types such as float or date	yes	yes	yes
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	no	no	no
Secondary indexes	yes	yes All search fields are automatically indexed
SQL Support of SQL	yes	SQL-like query language	no
APIs and other access methods	Cypher Query Language JDBC	Java API RESTful HTTP/JSON API	RESTful HTTP API
Supported programming languages	C Java JavaScript Python	.Net Groovy Community Contributed Clients Java JavaScript Perl PHP Python Ruby	C# C++ F# Visual Basic
Server-side scripts Stored procedures	yes	yes	yes
Triggers	no	yes by using the 'percolation' feature	no
Partitioning methods Methods for storing different data on different nodes	no, but can be realized using table inheritance	Sharding	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	Source-replica replication	yes
MapReduce Offers an API for user-defined Map/Reduce methods	no	ES-Hadoop Connector
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Eventual Consistency Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys Referential integrity	yes	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	no	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes
Durability Support for making data persistent	yes	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 Is there an option to define some or all structures to be held in-memory only.	no	Memcached and Redis integration	yes
User concepts Access control	fine grained access rights according to SQL-standard
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More resources
	AgensGraph	Elasticsearch	Graph Engine former name: Trinity
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