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DBMS > Amazon DocumentDB vs. AnzoGraph DB vs. HBase vs. searchxml

System Properties Comparison Amazon DocumentDB vs. AnzoGraph DB vs. HBase vs. searchxml

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonHBase  Xexclude from comparisonsearchxml  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 virtualizationWide-column store based on Apache Hadoop and on concepts of BigTableDBMS for structured and unstructured content wrapped with an application server
Primary database modelDocument storeGraph DBMS
RDF store
Wide column storeNative XML DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Websiteaws.amazon.com/­documentdbcambridgesemantics.com/­anzographhbase.apache.orgwww.searchxml.net/­category/­products
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmhbase.apache.org/­book.htmlwww.searchxml.net/­support/­handouts
DeveloperCambridge SemanticsApache Software Foundation infoApache top-level project, originally developed by Powersetinformationpartners gmbh
Initial release2019201820082015
Current release2.3, January 20212.3.4, January 20211.0
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availableOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemshostedLinuxLinux
Unix
Windows infousing Cygwin
Windows
Data schemeschema-freeSchema-free and OWL/RDFS-schema supportschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyes
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.nononoyes
Secondary indexesyesnonoyes
SQL infoSupport of SQLnoSPARQL and SPARQL* as primary query language. Cypher preview.nono
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
Java API
RESTful HTTP API
Thrift
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C++
Java
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyes infoCoprocessors in Javayes infoon the application server
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingShardingnone
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
Source-replica replication
yes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Kerberos/HDFS data loadingyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusterImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleno infonot needed in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDSingle row ACID (across millions of columns)multiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesno
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and rolesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACDomain, group and role-based access control at the document level and for application services

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More resources
Amazon DocumentDBAnzoGraph DBHBasesearchxml
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