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DBMS > AnzoGraph DB vs. Atos Standard Common Repository vs. Google Cloud Datastore vs. SpaceTime vs. TinkerGraph

System Properties Comparison AnzoGraph DB vs. Atos Standard Common Repository vs. Google Cloud Datastore vs. SpaceTime vs. TinkerGraph

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonSpaceTime  Xexclude from comparisonTinkerGraph  Xexclude from comparison
This system has been discontinued and will be 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 networksAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformSpaceTime is a spatio-temporal DBMS with a focus on performance.A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelGraph DBMS
RDF store
Document store
Key-value store
Document storeSpatial DBMSGraph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score4.49
Rank#79  Overall
#12  Document stores
Score0.00
Rank#396  Overall
#8  Spatial DBMS
Score0.12
Rank#344  Overall
#34  Graph DBMS
Websitecambridgesemantics.com/­anzographatos.net/en/convergence-creators/portfolio/standard-common-repositorycloud.google.com/­datastorewww.mireo.com/­spacetimetinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmcloud.google.com/­datastore/­docs
DeveloperCambridge SemanticsAtos Convergence CreatorsGoogleMireo
Initial release20182016200820202009
Current release2.3, January 20211703
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialcommercialcommercialOpen Source infoApache 2.0
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 languageJavaC++Java
Server operating systemsLinuxLinuxhostedLinux
Data schemeSchema-free and OWL/RDFS-schema supportSchema and schema-less with LDAP viewsschema-freeyesschema-free
Typing infopredefined data types such as float or dateoptionalyes, details hereyesyes
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 indexesnoyesyesnono
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.noSQL-like query language (GQL)A subset of ANSI SQL is implementedno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
LDAPgRPC (using protocol buffers) API
RESTful HTTP/JSON API
RESTful HTTP APITinkerPop 3
Supported programming languagesC++
Java
Python
All languages with LDAP bindings.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Python
Groovy
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesnousing Google App Enginenono
TriggersnoyesCallbacks using the Google Apps Enginenono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infocell divisionShardingFixed-grid hypercubesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusteryesMulti-source replication using PaxosReal-time block device replication (DRBD)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistencynone
Foreign keys infoReferential integrityno infonot needed in graphsnoyes infovia ReferenceProperties or Ancestor pathsnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnonoyes
User concepts infoAccess controlAccess rights for users and rolesLDAP bind authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesno

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More resources
AnzoGraph DBAtos Standard Common RepositoryGoogle Cloud DatastoreSpaceTimeTinkerGraph
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