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DBMS > AllegroGraph vs. BigObject vs. Cloudflare Workers KV vs. Oracle Berkeley DB

System Properties Comparison AllegroGraph vs. BigObject vs. Cloudflare Workers KV vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonBigObject  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSAnalytic DBMS for real-time computations and queriesA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Widely used in-process key-value store
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMS infoa hierachical model (tree) can be imposedKey-value storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
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
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score0.39
Rank#274  Overall
#39  Key-value stores
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Websiteallegrograph.combigobject.iowww.cloudflare.com/­developer-platform/­workers-kvwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.bigobject.iodevelopers.cloudflare.com/­kv/­apidocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperFranz Inc.BigObject, Inc.CloudflareOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2004201520181994
Current release8.0, December 202318.1.40, May 2020
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infofree community edition availablecommercialOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinux
OS X
Windows
Linux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyes infoRDF schemasyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnono
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 possiblenonoyes infoonly with the Berkeley DB XML edition
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like DML and DDL statementsnoyes infoSQL interfaced based on SQLite is available
APIs and other access methodsRESTful HTTP API
SPARQL
fluentd
ODBC
RESTful HTTP API
HTTP REST
Proprietary protocol
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispLuanono
Triggersyesnonoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodeswith Federationnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationnoneEventual Consistency
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yes
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.noyesnoyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnono
More information provided by the system vendor
AllegroGraphBigObjectCloudflare Workers KVOracle Berkeley DB
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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