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DBMS > Amazon DocumentDB vs. AnzoGraph DB vs. GigaSpaces vs. Microsoft Azure SQL Database vs. Warp 10

System Properties Comparison Amazon DocumentDB vs. AnzoGraph DB vs. GigaSpaces vs. Microsoft Azure SQL Database vs. Warp 10

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsDatabase as a Service offering with high compatibility to Microsoft SQL ServerTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument storeGraph DBMS
RDF store
Document store
Object oriented DBMS infoValues are user defined objects
Relational DBMSTime Series DBMS
Secondary database modelsGraph DBMS
Search engine
Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websiteaws.amazon.com/­documentdbcambridgesemantics.com/­anzographwww.gigaspaces.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.warp10.io
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.gigaspaces.com/­latest/­landing.htmldocs.microsoft.com/­en-us/­azure/­azure-sqlwww.warp10.io/­content/­02_Getting_started
DeveloperCambridge SemanticsGigaspaces TechnologiesMicrosoftSenX
Initial release20192018200020102015
Current release2.3, January 202115.5, September 2020V12
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availableOpen Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC++Java
Server operating systemshostedLinuxLinux
macOS
Solaris
Windows
hostedLinux
OS X
Windows
Data schemeschema-freeSchema-free and OWL/RDFS-schema supportschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono infoXML can be used for describing objects metadatayesno
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLnoSPARQL and SPARQL* as primary query language. Cypher preview.SQL-99 for query and DML statementsyesno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
HTTP API
Jupyter
WebSocket
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C++
Java
Python
.Net
C++
Java
Python
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyesTransact SQLyes infoWarpScript
Triggersnonoyes, event driven architectureyesno
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication in MPP-ClusterMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes, with always 3 replicas availableselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Kerberos/HDFS data loadingyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusterImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleno infonot needed in graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDACIDno
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.yesyesyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and rolesRole-based access controlfine grained access rights according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Amazon DocumentDBAnzoGraph DBGigaSpacesMicrosoft Azure SQL Database infoformerly SQL AzureWarp 10
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