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DBMS > AllegroGraph vs. etcd vs. Hazelcast vs. Hive

System Properties Comparison AllegroGraph vs. etcd vs. Hazelcast vs. Hive

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonetcd  Xexclude from comparisonHazelcast  Xexclude from comparisonHive  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA distributed reliable key-value storeA widely adopted in-memory data griddata warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Key-value storeKey-value storeRelational DBMS
Secondary database modelsSpatial DBMSDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Websiteallegrograph.cometcd.io
github.com/­etcd-io/­etcd
hazelcast.comhive.apache.org
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmletcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
hazelcast.org/­imdg/­docscwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperFranz Inc.HazelcastApache Software Foundation infoinitially developed by Facebook
Initial release200420082012
Current release8.0, December 20233.4, August 20195.3.6, November 20233.1.3, April 2022
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaJava
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
Windows infoexperimental
All OS with a Java VMAll OS with a Java VM
Data schemeyes infoRDF schemasschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLSPARQL is used as query languagenoSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP API
SPARQL
gRPC
JSON over HTTP
JCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
Thrift
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
C++
Java
PHP
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnoyes infoEvent Listeners, Executor Servicesyes infouser defined functions and integration of map-reduce
Triggersyesyes, watching key changesyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingSharding
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 Mapselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes infoquery execution via MapReduce
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 AlgorithmEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoone or two-phase-commit; repeatable reads; read commitedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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 controlAccess rights for users, groups and roles
More information provided by the system vendor
AllegroGraphetcdHazelcastHive
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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