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DBMS > AnzoGraph DB vs. Cloudflare Workers KV vs. Oracle Berkeley DB vs. Transbase

System Properties Comparison AnzoGraph DB vs. Cloudflare Workers KV vs. Oracle Berkeley DB vs. Transbase

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Widely used in-process key-value storeA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelGraph DBMS
RDF store
Key-value storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score0.32
Rank#283  Overall
#40  Key-value stores
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitecambridgesemantics.com/­anzographwww.cloudflare.com/­developer-platform/­workers-kvwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.transaction.de/­en/­products/­transbase.html
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdevelopers.cloudflare.com/­kv/­apidocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperCambridge SemanticsCloudflareOracle infooriginally developed by Sleepycat, which was acquired by OracleTransaction Software GmbH
Initial release2018201819941987
Current release2.3, January 202118.1.40, May 2020Transbase 8.3, 2022
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Source infocommercial license availablecommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, Java, C++ (depending on the Berkeley DB edition)C and C++
Server operating systemsLinuxhostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeschema-freeyes
Typing infopredefined data types such as float or datenonoyes
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.nonoyes infoonly with the Berkeley DB XML editionno
Secondary indexesnonoyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.noyes infoSQL interfaced based on SQLite is availableyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
HTTP REST
Proprietary protocol
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC++
Java
Python
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
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesnonoyes
Triggersnonoyes infoonly for the SQL APIyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusteryesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesnoyesno
User concepts infoAccess controlAccess rights for users and rolesnofine grained access rights according to SQL-standard

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More resources
AnzoGraph DBCloudflare Workers KVOracle Berkeley DBTransbase
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