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DBMS > AnzoGraph DB vs. Atos Standard Common Repository vs. Cloudflare Workers KV vs. FeatureBase vs. Yaacomo

System Properties Comparison AnzoGraph DB vs. Atos Standard Common Repository vs. Cloudflare Workers KV vs. FeatureBase vs. Yaacomo

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonFeatureBase  Xexclude from comparisonYaacomo  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelGraph DBMS
RDF store
Document store
Key-value store
Key-value storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score0.39
Rank#274  Overall
#39  Key-value stores
Score0.31
Rank#292  Overall
#135  Relational DBMS
Websitecambridgesemantics.com/­anzographatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.cloudflare.com/­developer-platform/­workers-kvwww.featurebase.comyaacomo.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdevelopers.cloudflare.com/­kv/­apidocs.featurebase.com
DeveloperCambridge SemanticsAtos Convergence CreatorsCloudflareMolecula and Pilosa Open Source ContributorsQ2WEB GmbH
Initial release20182016201820172009
Current release2.3, January 202117032022, May 2022
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGo
Server operating systemsLinuxLinuxhostedLinux
macOS
Android
Linux
Windows
Data schemeSchema-free and OWL/RDFS-schema supportSchema and schema-less with LDAP viewsschema-freeyesyes
Typing infopredefined data types such as float or dateoptionalnoyesyes
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.noyesnonono
Secondary indexesnoyesnonoyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.nonoSQL queriesyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
LDAPHTTP REST
Proprietary protocol
gRPC
JDBC
Kafka Connector
ODBC
JDBC
ODBC
Supported programming languagesC++
Java
Python
All languages with LDAP bindingsC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Java
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesnono
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infocell divisionShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusteryesyesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, using Linux fsyncyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyesyes
User concepts infoAccess controlAccess rights for users and rolesLDAP bind authenticationfine grained access rights according to SQL-standard

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More resources
AnzoGraph DBAtos Standard Common RepositoryCloudflare Workers KVFeatureBaseYaacomo
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