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DBMS > Amazon CloudSearch vs. Apache Phoenix vs. GridDB vs. Oracle Coherence

System Properties Comparison Amazon CloudSearch vs. Apache Phoenix vs. GridDB vs. Oracle Coherence

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonApache Phoenix  Xexclude from comparisonGridDB  Xexclude from comparisonOracle Coherence  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA scale-out RDBMS with evolutionary schema built on Apache HBaseScalable in-memory time series database optimized for IoT and Big DataOracles in-memory data grid solution
Primary database modelSearch engineRelational DBMSTime Series DBMSKey-value store
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.87
Rank#140  Overall
#12  Search engines
Score2.02
Rank#130  Overall
#63  Relational DBMS
Score2.02
Rank#132  Overall
#11  Time Series DBMS
Score2.02
Rank#131  Overall
#22  Key-value stores
Websiteaws.amazon.com/­cloudsearchphoenix.apache.orggriddb.netwww.oracle.com/­java/­coherence
Technical documentationdocs.aws.amazon.com/­cloudsearchphoenix.apache.orgdocs.griddb.netdocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperAmazonApache Software FoundationToshiba CorporationOracle
Initial release2012201420132007
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20195.1, August 202214.1, August 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial
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++Java
Server operating systemshostedLinux
Unix
Windows
LinuxAll OS with a Java VM
Data schemeyesyes infolate-bound, schema-on-read capabilitiesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infonumerical, string, blob, geometry, boolean, timestampyes
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.nonono
Secondary indexesyes infoall search fields are automatically indexedyesyesno
SQL infoSupport of SQLnoyesSQL92, SQL-like TQL (Toshiba Query Language)no
APIs and other access methodsHTTP APIJDBCJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JCache
JPA
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C++
Java
Server-side scripts infoStored proceduresnouser defined functionsnono
Triggersnonoyesyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replication
Source-replica replication
Source-replica replicationyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate consistency within container, eventual consistency across containersEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID at container levelconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlauthentication via encrypted signaturesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users can be defined per databaseauthentification to access the cache via certificates or http basic authentication
More information provided by the system vendor
Amazon CloudSearchApache PhoenixGridDBOracle Coherence
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon CloudSearchApache PhoenixGridDBOracle Coherence
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Recent citations in the news

Amazon CloudSearch – Start Searching in One Hour for Less Than $100 / Month | Amazon Web Services
12 April 2012, AWS Blog

Amazon's CloudSearch Stiffens Competition for Search as a Service Providers
26 April 2012, InfoQ.com

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