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DBMS > AllegroGraph vs. Cloudflare Workers KV vs. OrientDB vs. RisingWave vs. Sphinx

System Properties Comparison AllegroGraph vs. Cloudflare Workers KV vs. OrientDB vs. RisingWave vs. Sphinx

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonOrientDB  Xexclude from comparisonRisingWave  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Multi-model DBMS (Document, Graph, Key/Value)A distributed RDBMS for stream processing, wire-compatible with PostgreSQLOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Key-value storeDocument store
Graph DBMS
Key-value store
Relational DBMSSearch engine
Secondary database modelsSpatial DBMS
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
Score0.32
Rank#283  Overall
#40  Key-value stores
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score0.58
Rank#242  Overall
#111  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websiteallegrograph.comwww.cloudflare.com/­developer-platform/­workers-kvorientdb.orgwww.risingwave.com/­databasesphinxsearch.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldevelopers.cloudflare.com/­kv/­apiwww.orientdb.com/­docs/­last/­index.htmldocs.risingwave.com/­docs/­current/­introsphinxsearch.com/­docs
DeveloperFranz Inc.CloudflareOrientDB LTD; CallidusCloud; SAPRisingWave LabsSphinx Technologies Inc.
Initial release20042018201020222001
Current release8.0, December 20233.2.29, March 20241.2, September 20233.5.1, February 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen Source infoApache version 2Open Source infoApache Version 2.0Open Source infoGPL version 2, commercial licence available
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 languageJavaRustC++
Server operating systemsLinux
OS X
Windows
hostedAll OS with a Java JDK (>= JDK 6)Docker
Linux
macOS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyes infoRDF schemasschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yesyes
Typing infopredefined data types such as float or dateyesnoyesStandard SQL-types and JSONno
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 indexesyesnoyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSPARQL is used as query languagenoSQL-like query language, no joinsyesSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP API
SPARQL
HTTP REST
Proprietary protocol
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
JDBC
PostgreSQL wire protocol
Proprietary protocol
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispnoJava, JavascriptUDFs in Python or Javano
TriggersyesnoHooksnono
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocould be achieved with distributed queriesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integritynonoyes inforelationship in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
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 authenticationAccess rights for users and roles; record level security configurableUsers and Rolesno
More information provided by the system vendor
AllegroGraphCloudflare Workers KVOrientDBRisingWaveSphinx
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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