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DBMS > AnzoGraph DB vs. Databend vs. Google Cloud Datastore vs. SAP SQL Anywhere vs. SwayDB

System Properties Comparison AnzoGraph DB vs. Databend vs. Google Cloud Datastore vs. SAP SQL Anywhere vs. SwayDB

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonDatabend  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument storeRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score3.95
Rank#80  Overall
#42  Relational DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Websitecambridgesemantics.com/­anzographgithub.com/­datafuselabs/­databend
www.databend.com
cloud.google.com/­datastorewww.sap.com/­products/­technology-platform/­sql-anywhere.htmlswaydb.simer.au
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.databend.comcloud.google.com/­datastore/­docshelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperCambridge SemanticsDatabend LabsGoogleSAP infoformerly SybaseSimer Plaha
Initial release20182021200819922018
Current release2.3, January 20211.0.59, April 202317, July 2015
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2.0commercialcommercialOpen Source infoGNU Affero GPL V3.0
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 languageRustScala
Server operating systemsLinuxhosted
Linux
macOS
hostedAIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes, details hereyesno
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.nononoyesno
Secondary indexesnonoyesyesno
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yesSQL-like query language (GQL)yesno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
CLI Client
JDBC
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesC++
Java
Python
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Kotlin
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesnousing Google App Engineyes, in C/C++, Java, .Net or Perlno
TriggersnonoCallbacks using the Google Apps Engineyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusternoneMulti-source replication using PaxosSource-replica replication infoDatabase mirroringnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate 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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnoyes infovia ReferenceProperties or Ancestor pathsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlAccess rights for users and rolesUsers with fine-grained authorization concept, user rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardno

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More resources
AnzoGraph DBDatabendGoogle Cloud DatastoreSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSwayDB
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