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DBMS > Amazon SimpleDB vs. AnzoGraph DB vs. Apache IoTDB vs. Hazelcast vs. Valentina Server

System Properties Comparison Amazon SimpleDB vs. AnzoGraph DB vs. Apache IoTDB vs. Hazelcast vs. Valentina Server

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonApache IoTDB  Xexclude from comparisonHazelcast  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkA widely adopted in-memory data gridObject-relational database and reports server
Primary database modelKey-value storeGraph DBMS
RDF store
Time Series DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websiteaws.amazon.com/­simpledbcambridgesemantics.com/­anzographiotdb.apache.orghazelcast.comwww.valentina-db.net
Technical documentationdocs.aws.amazon.com/­simpledbdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlhazelcast.org/­imdg/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperAmazonCambridge SemanticsApache Software FoundationHazelcastParadigma Software
Initial release20072018201820081999
Current release2.3, January 20211.1.0, April 20235.3.6, November 20235.7.5
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availableOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemshostedLinuxAll OS with a Java VM (>= 1.8)All OS with a Java VMLinux
OS X
Windows
Data schemeschema-freeSchema-free and OWL/RDFS-schema supportyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nonoyes infothe object must implement a serialization strategy
Secondary indexesyes infoAll columns are indexed automaticallynoyesyesyes
SQL infoSupport of SQLnoSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like query languageSQL-like query languageyes
APIs and other access methodsRESTful HTTP APIApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
Native API
JCache
JPA
Memcached protocol
RESTful HTTP API
ODBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C++
Java
Python
C
C#
C++
Go
Java
Python
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyesyes infoEvent Listeners, Executor Servicesyes
Triggersnonoyesyes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationAutomatic shardinghorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication in MPP-Clusterselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingIntegration with Hadoop and Sparkyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency in MPP-ClusterEventual Consistency
Strong Consistency with Raft
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integritynono infonot needed in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDnoone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users and rolesyesRole-based access controlfine grained access rights according to SQL-standard

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More resources
Amazon SimpleDBAnzoGraph DBApache IoTDBHazelcastValentina Server
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