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DBMS > AllegroGraph vs. Amazon CloudSearch vs. AnzoGraph DB vs. HarperDB vs. KairosDB

System Properties Comparison AllegroGraph vs. Amazon CloudSearch vs. AnzoGraph DB vs. HarperDB vs. KairosDB

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonAmazon CloudSearch  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonHarperDB  Xexclude from comparisonKairosDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA hosted search engine service by Amazon with the data stored in Amazons cloudScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Distributed Time Series DBMS based on Cassandra or H2
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Search engineGraph DBMS
RDF store
Document storeTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.13
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score1.81
Rank#137  Overall
#12  Search engines
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score0.60
Rank#244  Overall
#38  Document stores
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Websiteallegrograph.comaws.amazon.com/­cloudsearchcambridgesemantics.com/­anzographwww.harperdb.iogithub.com/­kairosdb/­kairosdb
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.aws.amazon.com/­cloudsearchdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.harperdb.io/­docskairosdb.github.io
DeveloperFranz Inc.AmazonCambridge SemanticsHarperDB
Initial release20042012201820172013
Current release8.0, December 20232.3, January 20213.1, August 20211.2.2, November 2018
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialcommercial infofree trial version availablecommercial infofree community edition availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageNode.jsJava
Server operating systemsLinux
OS X
Windows
hostedLinuxLinux
OS X
Linux
OS X
Windows
Data schemeyes infoRDF schemasyesSchema-free and OWL/RDFS-schema supportdynamic schemaschema-free
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesyes
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 possiblenonono
Secondary indexesyesyes infoall search fields are automatically indexednoyesno
SQL infoSupport of SQLSPARQL is used as query languagenoSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like data manipulation statementsno
APIs and other access methodsRESTful HTTP API
SPARQL
HTTP APIApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Graphite protocol
HTTP REST
Telnet API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C++
Java
Python
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnouser defined functions and aggregatesCustom Functions infosince release 3.1no
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodeswith Federationyes infoautomatic partitioning across Amazon Search Instance as requiredAutomatic shardingA table resides as a whole on one (or more) nodes in a clusterSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infomanaged transparently by AWSMulti-source replication in MPP-Clusteryes infothe nodes on which a table resides can be definedselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoKerberos/HDFS data loadingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency in MPP-ClusterImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonono infonot needed in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationauthentication via encrypted signaturesAccess rights for users and rolesAccess rights for users and rolessimple password-based access control
More information provided by the system vendor
AllegroGraphAmazon CloudSearchAnzoGraph DBHarperDBKairosDB
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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