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DBMS > Amazon SimpleDB vs. Coveo vs. IBM Db2 Event Store vs. ToroDB

System Properties Comparison Amazon SimpleDB vs. Coveo vs. IBM Db2 Event Store vs. ToroDB

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonCoveo  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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 developmentDistributed Event Store optimized for Internet of Things use casesA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelKey-value storeSearch engineEvent Store
Time Series DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score2.28
Rank#114  Overall
#11  Search engines
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Websiteaws.amazon.com/­simpledbwww.coveo.comwww.ibm.com/­products/­db2-event-storegithub.com/­torodb/­server
Technical documentationdocs.aws.amazon.com/­simpledbdocs.coveo.comwww.ibm.com/­docs/­en/­db2-event-store
DeveloperAmazonCoveoIBM8Kdata
Initial release2007201220172016
Current release2.0
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree developer edition availableOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++Java
Server operating systemshostedhostedLinux infoLinux, macOS, Windows for the developer additionAll OS with a Java 7 VM
Data schemeschema-freehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesschema-free
Typing infopredefined data types such as float or datenoyesyesyes infostring, integer, double, boolean, date, object_id
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 columns are indexed automaticallyyesno
SQL infoSupport of SQLnonoyes infothrough the embedded Spark runtime
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C#
Java
JavaScript
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresnonoyes
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationyesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesActive-active shard replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationyesnono
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
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 for users and roles

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More resources
Amazon SimpleDBCoveoIBM Db2 Event StoreToroDB
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