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DBMS > Amazon CloudSearch vs. Amazon DocumentDB vs. AnzoGraph DB vs. Apache IoTDB vs. Hawkular Metrics

System Properties Comparison Amazon CloudSearch vs. Amazon DocumentDB vs. AnzoGraph DB vs. Apache IoTDB vs. Hawkular Metrics

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonApache IoTDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudFast, 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 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 FlinkHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.
Primary database modelSearch engineDocument storeGraph DBMS
RDF store
Time Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#133  Overall
#12  Search engines
Score1.91
Rank#124  Overall
#22  Document stores
Score0.22
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score1.31
Rank#159  Overall
#14  Time Series DBMS
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchaws.amazon.com/­documentdbcambridgesemantics.com/­anzographiotdb.apache.orgwww.hawkular.org
Technical documentationdocs.aws.amazon.com/­cloudsearchaws.amazon.com/­documentdb/­resourcesdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperAmazonCambridge SemanticsApache Software FoundationCommunity supported by Red Hat
Initial release20122019201820182014
Current release2.3, January 20211.1.0, April 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree trial version availableOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemshostedhostedLinuxAll OS with a Java VM (>= 1.8)Linux
OS X
Windows
Data schemeyesschema-freeSchema-free and OWL/RDFS-schema supportyesschema-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.nononono
Secondary indexesyes infoall search fields are automatically indexedyesnoyesno
SQL infoSupport of SQLnonoSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like query languageno
APIs and other access methodsHTTP APIproprietary protocol using JSON (MongoDB compatible)Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
Native API
HTTP REST
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C++
Java
Python
C
C#
C++
Go
Java
Python
Scala
Go
Java
Python
Ruby
Server-side scripts infoStored proceduresnonouser defined functions and aggregatesyesno
Triggersnononoyesyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednoneAutomatic shardinghorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication in MPP-Clusterselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Kerberos/HDFS data loadingIntegration with Hadoop and Sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusterEventual Consistency
Strong Consistency with Raft
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynono 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 datanoAtomic single-document operationsACIDnono
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.yesyesno
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users and rolesAccess rights for users and rolesyesno

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More resources
Amazon CloudSearchAmazon DocumentDBAnzoGraph DBApache IoTDBHawkular Metrics
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