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DBMS > Amazon SimpleDB vs. IBM Db2 Event Store vs. InterSystems Caché vs. Manticore Search

System Properties Comparison Amazon SimpleDB vs. IBM Db2 Event Store vs. InterSystems Caché vs. Manticore Search

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonManticore Search  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed 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 ScioreDistributed Event Store optimized for Internet of Things use casesA multi-model DBMS and application serverMulti-storage database for search, including full-text search.
Primary database modelKey-value storeEvent Store
Time Series DBMS
Key-value store
Object oriented DBMS
Relational DBMS
Search engine
Secondary database modelsDocument storeTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Websiteaws.amazon.com/­simpledbwww.ibm.com/­products/­db2-event-storewww.intersystems.com/­products/­cachemanticoresearch.com
Technical documentationdocs.aws.amazon.com/­simpledbwww.ibm.com/­docs/­en/­db2-event-storedocs.intersystems.commanual.manticoresearch.com
DeveloperAmazonIBMInterSystemsManticore Software
Initial release2007201719972017
Current release2.02018.1.4, May 20206.0, February 2023
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availablecommercialOpen Source infoGPL version 2
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 languageC and C++C++
Server operating systemshostedLinux infoLinux, macOS, Windows for the developer additionAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
Windows
Data schemeschema-freeyesdepending on used data modelFixed schema
Typing infopredefined data types such as float or datenoyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean
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.noyesCan index from XML
Secondary indexesyes infoAll columns are indexed automaticallynoyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeyesSQL-like query language
APIs and other access methodsRESTful HTTP APIADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
.NET Client API
JDBC
ODBC
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C#
C++
Java
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnoyesyesuser defined functions
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesActive-active shard replicationSource-replica replicationSynchronous replication based on Galera library
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
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnoACIDyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes infoThe original contents of fields are not stored in the Manticore index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardAccess rights for users, groups and rolesno

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More resources
Amazon SimpleDBIBM Db2 Event StoreInterSystems CachéManticore Search
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