DBMS > AllegroGraph vs. Elasticsearch vs. IBM Db2 Event Store

System Properties Comparison AllegroGraph vs. Elasticsearch vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines

Name

Description

High performance, persistent RDF store with additional support for Graph DBMS

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

Distributed Event Store optimized for Internet of Things use cases

Primary database model

Document store

with version 6.5
Graph DBMS
RDF store

Search engine

Event Store
Time Series DBMS

Secondary database models

Spatial DBMS

Document store
Spatial DBMS

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

Score	1.35
Rank	#144	Overall
	#23	Document stores
	#12	Graph DBMS
	#7	RDF stores

Score	152.18
Rank	#8	Overall
	#1	Search engines

Score	0.36
Rank	#256	Overall
	#2	Event Stores
	#18	Time Series DBMS

Website

allegrograph.com

www.elastic.co/elasticsearch

www.ibm.com/products/db2-event-store

Technical documentation

franz.com/agraph/support/documentation/current/agraph-introduction.html

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

www.ibm.com/support/knowledgecenter/en/SSGNPV_2.0.0/welcome.html

Developer

Franz Inc.

Elastic

IBM

Initial release

2004

2010

2017

Current release

7.0.0, April 2020

7.8.0, June 2020

2.0

License

Commercial or Open Source

commercial

Limited community edition free

Open Source

Apache Version 2; Elastic License

commercial

free developer edition available

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

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 Amazon Web Services, Google Cloud and Microsoft Azure that's powered by the creators of Elasticsearch.

Implementation language

Java

C and C++

Server operating systems

Linux
OS X
Windows

All OS with a Java VM

Linux

Linux, macOS, Windows for the developer addition

Data scheme

yes

RDF schemas

schema-free

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

yes

Typing

predefined data types such as float or date

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.

bulk load of XML files possible

Secondary indexes

yes

All search fields are automatically indexed

SQL

Support of SQL

SPARQL is used as query language

SQL-like query language

yes

through the embedded Spark runtime

APIs and other access methods

RESTful HTTP API
SPARQL

Java API
RESTful HTTP/JSON API

ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API

Supported programming languages

C#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala

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

C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic

Server-side scripts

Stored procedures

yes

JavaScript or Common Lisp

yes

Triggers

yes

by using the 'percolation' feature

Partitioning methods

Methods for storing different data on different nodes

with Federation

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

yes

Active-active shard replication

MapReduce

Offers an API for user-defined Map/Reduce methods

ES-Hadoop Connector

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency depending on configuration

Eventual Consistency

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

Eventual Consistency

Foreign keys

Referential integrity

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

No - written data is immutable

Durability

Support for making data persistent

yes

Yes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage

In-memory capabilities

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

Memcached and Redis integration

yes

User concepts

Access control

Users with fine-grained authorization concept, user roles and pluggable authentication

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

Knowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more

Elasticsearch is an open source search and analytics engine. As the heart of the...
» more

Competitive advantages

AllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more

Open source Real-time indexsearch, and analysis Horizontally scalable Distributed...
» more

Typical application scenarios

Enterprise search (search experiences for your workplace, apps, and websites), observability...
» more

Key customers

Thousands of organizations worldwide, including Cisco, eBay, Goldman Sachs, Microsoft,...
» more

Market metrics

Public as of October 2018 Distributed workforce with 1900+ employees around the globe...
» more

Licensing and pricing models

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

News

Gartner Case Study: Entity-Event Knowledge Graph for Powering AI Solutions (Montefiore)
15 March 2021

Understanding What Matters With Text Analytics and NLP
9 March 2021

KMWorld 100 Companies that Matter Most – Franz Inc.
9 March 2021

Maximizing Your Data Fabric’s ROI via Entity Data Modeling
24 February 2021

Data-Centric Architecture Forum – DCAF 2021
1 February 2021

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.