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DBMS > Amazon CloudSearch vs. GigaSpaces vs. GridDB vs. OpenTSDB

System Properties Comparison Amazon CloudSearch vs. GigaSpaces vs. GridDB vs. OpenTSDB

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonGigaSpaces  Xexclude from comparisonGridDB  Xexclude from comparisonOpenTSDB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsScalable in-memory time series database optimized for IoT and Big DataScalable Time Series DBMS based on HBase
Primary database modelSearch engineDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSTime Series DBMS
Secondary database modelsGraph DBMS
Search engine
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.08
Rank#133  Overall
#12  Search engines
Score1.05
Rank#191  Overall
#31  Document stores
#6  Object oriented DBMS
Score2.00
Rank#137  Overall
#11  Time Series DBMS
Score1.83
Rank#147  Overall
#12  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchwww.gigaspaces.comgriddb.netopentsdb.net
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.gigaspaces.com/­latest/­landing.htmldocs.griddb.netopentsdb.net/­docs/­build/­html/­index.html
DeveloperAmazonGigaspaces TechnologiesToshiba Corporationcurrently maintained by Yahoo and other contributors
Initial release2012200020132011
Current release15.5, September 20205.1, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoLGPL
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 languageJava, C++, .NetC++Java
Server operating systemshostedLinux
macOS
Solaris
Windows
LinuxLinux
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infonumerical, string, blob, geometry, boolean, timestampnumeric data for metrics, strings for tags
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.no infoXML can be used for describing objects metadatanono
Secondary indexesyes infoall search fields are automatically indexedyesyesno
SQL infoSupport of SQLnoSQL-99 for query and DML statementsSQL92, SQL-like TQL (Toshiba Query Language)no
APIs and other access methodsHTTP APIGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HTTP API
Telnet API
Supported programming languages.Net
C++
Java
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Erlang
Go
Java
Python
R
Ruby
Server-side scripts infoStored proceduresnoyesnono
Triggersnoyes, event driven architectureyesno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsConnector 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 infoConsistency level configurable: ALL, QUORUM, ANYImmediate consistency within container, eventual consistency across containersImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID at container levelno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesno
User concepts infoAccess controlauthentication via encrypted signaturesRole-based access controlAccess rights for users can be defined per databaseno
More information provided by the system vendor
Amazon CloudSearchGigaSpacesGridDBOpenTSDB
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 CloudSearchGigaSpacesGridDBOpenTSDB
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