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DBMS > Amazon SimpleDB vs. Coveo vs. H2 vs. OpenQM

System Properties Comparison Amazon SimpleDB vs. Coveo vs. H2 vs. OpenQM

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonCoveo  Xexclude from comparisonH2  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.QpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelKey-value storeSearch engineRelational DBMSMultivalue DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#128  Overall
#22  Key-value stores
Score2.14
Rank#116  Overall
#11  Search engines
Score7.57
Rank#47  Overall
#30  Relational DBMS
Score0.28
Rank#291  Overall
#10  Multivalue DBMS
Websiteaws.amazon.com/­simpledbwww.coveo.comwww.h2database.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationdocs.aws.amazon.com/­simpledbdocs.coveo.comwww.h2database.com/­html/­main.html
DeveloperAmazonCoveoThomas MuellerRocket Software, originally Martin Phillips
Initial release2007201220051993
Current release2.2.220, July 20233.4-12
License infoCommercial or Open SourcecommercialcommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedhostedAll OS with a Java VMAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeschema-freehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyes infowith some exceptions
Typing infopredefined data types such as float or datenoyesyes
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.nonoyes
Secondary indexesyes infoAll columns are indexed automaticallyyesyesyes
SQL infoSupport of SQLnonoyesno
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIJDBC
ODBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C#
Java
JavaScript
Python
Java.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresnonoJava Stored Procedures and User-Defined Functionsyes
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationyesnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.yes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)granular access controls, API key management, content filtersfine grained access rights according to SQL-standardAccess rights can be defined down to the item level

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More resources
Amazon SimpleDBCoveoH2OpenQM infoalso called QM
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