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

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

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonSphinx  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 ScioreDistributed Event Store optimized for Internet of Things use casesOpen source search engine for searching in data from different sources, e.g. relational databasesA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelKey-value storeEvent Store
Time Series DBMS
Search engineDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websiteaws.amazon.com/­simpledbwww.ibm.com/­products/­db2-event-storesphinxsearch.comgithub.com/­torodb/­server
Technical documentationdocs.aws.amazon.com/­simpledbwww.ibm.com/­docs/­en/­db2-event-storesphinxsearch.com/­docs
DeveloperAmazonIBMSphinx Technologies Inc.8Kdata
Initial release2007201720012016
Current release2.03.5.1, February 2023
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availableOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++Java
Server operating systemshostedLinux infoLinux, macOS, Windows for the developer additionFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
All OS with a Java 7 VM
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesnoyes 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.nono
Secondary indexesyes infoAll columns are indexed automaticallynoyes infofull-text index on all search fields
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP APIADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Proprietary protocol
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++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoyesno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesActive-active shard replicationnoneSource-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
Eventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnonono
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 storageyes infoThe original contents of fields are not stored in the Sphinx index.yes
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)fine grained access rights according to SQL-standardnoAccess rights for users and roles

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More resources
Amazon SimpleDBIBM Db2 Event StoreSphinxToroDB
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