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DBMS > dBASE vs. Ingres vs. Spark SQL vs. Stardog vs. Trafodion

System Properties Comparison dBASE vs. Ingres vs. Spark SQL vs. Stardog vs. Trafodion

Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonIngres  Xexclude from comparisonSpark SQL  Xexclude from comparisonStardog  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
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.Well established RDBMSSpark SQL is a component on top of 'Spark Core' for structured data processingEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSGraph DBMS
RDF store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.dbase.comwww.actian.com/­databases/­ingresspark.apache.org/­sqlwww.stardog.comtrafodion.apache.org
Technical documentationwww.dbase.com/­support/­knowledgebasedocs.actian.com/­ingresspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.stardog.comtrafodion.apache.org/­documentation.html
DeveloperAsthon TateActian CorporationApache Software FoundationStardog-UnionApache Software Foundation, originally developed by HP
Initial release19791974 infooriginally developed at University Berkely in early 1970s201420102014
Current releasedBASE 2019, 201911.2, May 20223.5.0 ( 2.13), September 20237.3.0, May 20202.3.0, February 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoApache 2.0
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 languageCScalaJavaC++, Java
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Linux
macOS
Windows
Linux
Data schemeyesyesyesschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.no infobut tools for importing/exporting data from/to XML-files availablenono infoImport/export of XML data possibleno
Secondary indexesyesyesnoyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsYes, compatible with all major SQL variants through dedicated BI/SQL Serveryes
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources..NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
ADO.NET
JDBC
ODBC
Supported programming languagesdBase proprietary IDEJava
Python
R
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.yesnouser defined functions and aggregates, HTTP Server extensions in JavaJava Stored Procedures
Triggersnoyesnoyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoIngres Star to access multiple databases simultaneouslyyes, utilizing Spark CorenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneIngres ReplicatornoneMulti-source replication in HA-Clusteryes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes inforelationships in graphsyes
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 DBMSACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardnoAccess rights for users and rolesfine grained access rights according to SQL-standard

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dBASEIngresSpark SQLStardogTrafodion
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