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DBMS > Amazon CloudSearch vs. Amazon DynamoDB vs. JanusGraph vs. PostgreSQL

System Properties Comparison Amazon CloudSearch vs. Amazon DynamoDB vs. JanusGraph vs. PostgreSQL

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonAmazon DynamoDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudHosted, scalable database service by Amazon with the data stored in Amazons cloudA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelSearch engineDocument store
Key-value store
Graph DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#91  Overall
#10  Search engines
Score62.51
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score1.79
Rank#120  Overall
#7  Graph DBMS
Score513.92
Rank#4  Overall
#4  Relational DBMS
Websiteaws.amazon.com/­cloudsearchaws.amazon.com/­dynamodbjanusgraph.orgwww.postgresql.org
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.aws.amazon.com/­dynamodbdocs.janusgraph.orgwww.postgresql.org/­docs/­manuals
DeveloperAmazonAmazonLinux Foundation; originally developed as Titan by AureliusPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release2012201220171989 info1989: Postgres, 1996: PostgreSQL
Current release0.5.0, March 202012.2, February 2020
License infoCommercial or Open Sourcecommercialcommercial infofree tier for a limited amount of database operationsOpen Source infoApache 2.0Open Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC
Server operating systemshostedhostedLinux
OS X
Unix
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesschema-freeyesyes
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.noyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyes infoall search fields are automatically indexedyesyesyes
SQL infoSupport of SQLnononoyes infostandard with numerous extensions
APIs and other access methodsHTTP APIRESTful HTTP APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Clojure
Java
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnonoyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyes infoby integration with AWS Lambdayesyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)partitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesyesMaster-slave replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoACID across one or more tables within a single AWS account and regionACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)User authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standard

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Amazon CloudSearchAmazon DynamoDBJanusGraph infosuccessor of TitanPostgreSQL
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