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DBMS > dBASE vs. IBM Db2 Event Store vs. OrigoDB vs. Spark SQL vs. Teradata

System Properties Comparison dBASE vs. IBM Db2 Event Store vs. OrigoDB vs. Spark SQL vs. Teradata

Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonOrigoDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptiondBase 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 casesA fully ACID in-memory object graph databaseSpark SQL is a component on top of 'Spark Core' for structured data processingA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSEvent Store
Time Series DBMS
Document store
Object oriented DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitewww.dbase.comwww.ibm.com/­products/­db2-event-storeorigodb.comspark.apache.org/­sqlwww.teradata.com
Technical documentationwww.dbase.com/­support/­knowledgebasewww.ibm.com/­docs/­en/­db2-event-storeorigodb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.teradata.com
DeveloperAsthon TateIBMRobert Friberg et alApache Software FoundationTeradata
Initial release197920172009 infounder the name LiveDB20141984
Current releasedBASE 2019, 20192.03.5.0 ( 2.13), September 2023Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availableOpen SourceOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C#Scala
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
Linux infoLinux, macOS, Windows for the developer additionLinux
Windows
Linux
OS X
Windows
hosted
Linux
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyesyes
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 infocan be achieved using .NETnoyes
Secondary indexesyesnoyesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimenoSQL-like DML and DDL statementsyes infoSQL 2016 + extensions
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources.ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
JDBC
ODBC
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesdBase proprietary IDEC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.NetJava
Python
R
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.yesyesnoyes infoUDFs, stored procedures, table functions in parallel
Triggersnonoyes infoDomain Eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning infoclient side managed; servers are not synchronizedyes, utilizing Spark CoreSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneActive-active shard replicationSource-replica replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnodepending on modelnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infonot for dBase internal data, but IDE does support transactions when accessing external DBMSnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardRole based authorizationnofine grained access rights according to SQL-standard

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More resources
dBASEIBM Db2 Event StoreOrigoDBSpark SQLTeradata
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