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DBMS > Amazon SimpleDB vs. Apache Impala vs. IBM Db2 Event Store vs. STSdb

System Properties Comparison Amazon SimpleDB vs. Apache Impala vs. IBM Db2 Event Store vs. STSdb

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache Impala  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonSTSdb  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 ScioreAnalytic DBMS for HadoopDistributed Event Store optimized for Internet of Things use casesKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelKey-value storeRelational DBMSEvent Store
Time Series DBMS
Key-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websiteaws.amazon.com/­simpledbimpala.apache.orgwww.ibm.com/­products/­db2-event-storegithub.com/­STSSoft/­STSdb4
Technical documentationdocs.aws.amazon.com/­simpledbimpala.apache.org/­impala-docs.htmlwww.ibm.com/­docs/­en/­db2-event-store
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaIBMSTS Soft SC
Initial release2007201320172011
Current release4.1.0, June 20222.04.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial infofree developer edition availableOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++C#
Server operating systemshostedLinuxLinux infoLinux, macOS, Windows for the developer additionWindows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes infoprimitive types and user defined types (classes)
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 automaticallyyesnono
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes infothrough the embedded Spark runtimeno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
.NET Client API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBCC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C#
Java
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyesno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorActive-active shard replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual ConsistencyEventual 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 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.noyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardno

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More resources
Amazon SimpleDBApache ImpalaIBM Db2 Event StoreSTSdb
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