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DBMS > AllegroGraph vs. etcd vs. Hazelcast

System Properties Comparison AllegroGraph vs. etcd vs. Hazelcast

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonetcd  Xexclude from comparisonHazelcast  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA distributed reliable key-value storeA widely adopted in-memory data grid
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Key-value storeKey-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#156  Overall
#26  Document stores
#13  Graph DBMS
#7  RDF stores
Score8.41
Rank#50  Overall
#6  Key-value stores
Score8.77
Rank#48  Overall
#5  Key-value stores
Websiteallegrograph.cometcd.io
github.com/­etcd-io/­etcd
hazelcast.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmletcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
hazelcast.org/­imdg/­docs
DeveloperFranz Inc.Hazelcast
Initial release20042008
Current release7.0.0, April 20203.4, August 20194.1.1, December 2020
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
Windows infoexperimental
All OS with a Java VM
Data schemeyes infoRDF schemasschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no infobulk load of XML files possiblenoyes infothe object must implement a serialization strategy
Secondary indexesyesnoyes
SQL infoSupport of SQLSPARQL is used as query languagenoSQL-like query language
APIs and other access methodsRESTful HTTP API
SPARQL
gRPC
JSON over HTTP
JCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnoyes infoEvent Listeners, Executor Services
Triggersyesyes, watching key changesyes infoEvents
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnoRole-based access control
More information provided by the system vendor
AllegroGraphetcdHazelcast
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Hazelcast is an in-memory computing platform that runs applications with extremely...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
Hazelcast has an optimized, multi-threaded architecture that enables the highest...
» more
Typical application scenariosHazelcast powers many types of large-scale, data processing applications. A sample...
» more
Key customersHazelcast customers include 50 of the world’s largest financial services companies,...
» more
Licensing and pricing modelsHazelcast provides both open source and commercial software. The open source offering...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
AllegroGraphetcdHazelcast
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