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DBMS > Amazon CloudSearch vs. AnzoGraph DB vs. Apache Druid vs. Fujitsu Enterprise Postgres

System Properties Comparison Amazon CloudSearch vs. AnzoGraph DB vs. Apache Druid vs. Fujitsu Enterprise Postgres

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonApache Druid  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.
Primary database modelSearch engineGraph DBMS
RDF store
Relational DBMS
Time Series DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#133  Overall
#12  Search engines
Score0.22
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score0.22
Rank#304  Overall
#137  Relational DBMS
Websiteaws.amazon.com/­cloudsearchcambridgesemantics.com/­anzographdruid.apache.orgwww.postgresql.fastware.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdruid.apache.org/­docs/­latest/­designwww.postgresql.fastware.com/­product-manuals
DeveloperAmazonCambridge SemanticsApache Software Foundation and contributorsPostgreSQL Global Development Group, Fujitsu Australia Software Technology
Initial release201220182012
Current release2.3, January 202130.0.0, June 2024Fujitsu Enterprise Postgres 14, January 2022
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availableOpen Source infoApache license v2commercial
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
OS X
Unix
Linux
Windows
Data schemeyesSchema-free and OWL/RDFS-schema supportyes infoschema-less columns are supportedyes
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesyes infoall search fields are automatically indexednoyesyes
SQL infoSupport of SQLnoSPARQL and SPARQL* as primary query language. Cypher preview.SQL for queryingyes
APIs and other access methodsHTTP APIApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC++
Java
Python
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnouser defined functions
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredAutomatic shardingSharding infomanual/auto, time-basedpartitioning by range, list and by hash
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replication in MPP-Clusteryes, via HDFS, S3 or other storage enginesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infonot needed in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
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.yesno
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users and rolesRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standard

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More resources
Amazon CloudSearchAnzoGraph DBApache DruidFujitsu Enterprise Postgres
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