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DBMS > Amazon SimpleDB vs. Databend vs. dBASE vs. IBM Db2 Event Store

System Properties Comparison Amazon SimpleDB vs. Databend vs. dBASE vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonDatabend  Xexclude from comparisondBASE  Xexclude from comparisonIBM Db2 Event Store  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 ScioreAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexitydBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.Distributed Event Store optimized for Internet of Things use cases
Primary database modelKey-value storeRelational DBMSRelational DBMSEvent Store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#128  Overall
#22  Key-value stores
Score0.28
Rank#287  Overall
#131  Relational DBMS
Score9.16
Rank#43  Overall
#27  Relational DBMS
Score0.18
Rank#315  Overall
#2  Event Stores
#26  Time Series DBMS
Websiteaws.amazon.com/­simpledbgithub.com/­datafuselabs/­databend
www.databend.com
www.dbase.comwww.ibm.com/­products/­db2-event-store
Technical documentationdocs.aws.amazon.com/­simpledbdocs.databend.comwww.dbase.com/­support/­knowledgebasewww.ibm.com/­docs/­en/­db2-event-store
DeveloperAmazonDatabend LabsAsthon TateIBM
Initial release2007202119792017
Current release1.0.59, April 2023dBASE 2019, 20192.0
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustC and C++
Server operating systemshostedhosted
Linux
macOS
DOS infodBase Classic
Windows infodBase Pro
Linux infoLinux, macOS, Windows for the developer addition
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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 automaticallynoyesno
SQL infoSupport of SQLnoyesnoyes infothrough the embedded Spark runtime
APIs and other access methodsRESTful HTTP APICLI Client
JDBC
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources.ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
Rust
dBase proprietary IDEC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresnonono infoThe IDE can access stored procedures in other database systems.yes
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenoneActive-active shard replication
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 ConsistencyEventual 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 applicationyesno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSno
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutable
Durability infoSupport for making data persistentyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage
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)Users with fine-grained authorization concept, user rolesAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
Amazon SimpleDBDatabenddBASEIBM Db2 Event Store
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