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DBMS > Amazon CloudSearch vs. dBASE vs. Postgres-XL vs. Spark SQL vs. Stardog

System Properties Comparison Amazon CloudSearch vs. dBASE vs. Postgres-XL vs. Spark SQL vs. Stardog

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisondBASE  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSpark SQL  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons clouddBase 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.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresSpark 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 virtualization
Primary database modelSearch engineRelational DBMSRelational DBMSRelational DBMSGraph DBMS
RDF store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score9.70
Rank#44  Overall
#28  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websiteaws.amazon.com/­cloudsearchwww.dbase.comwww.postgres-xl.orgspark.apache.org/­sqlwww.stardog.com
Technical documentationdocs.aws.amazon.com/­cloudsearchwww.dbase.com/­support/­knowledgebasewww.postgres-xl.org/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.stardog.com
DeveloperAmazonAsthon TateApache Software FoundationStardog-Union
Initial release201219792014 infosince 2012, originally named StormDB20142010
Current releasedBASE 2019, 201910 R1, October 20183.5.0 ( 2.13), September 20237.3.0, May 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMozilla public licenseOpen Source infoApache 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCScalaJava
Server operating systemshostedDOS infodBase Classic
Windows infodBase Pro
Linux
macOS
Linux
OS X
Windows
Linux
macOS
Windows
Data schemeyesyesyesyesschema-free and OWL/RDFS-schema support
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.yes infoXML type, but no XML query functionalitynono infoImport/export of XML data possible
Secondary indexesyes infoall search fields are automatically indexedyesyesnoyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnonoyes infodistributed, parallel query executionSQL-like DML and DDL statementsYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsHTTP APInone infoThe IDE can access other DBMS or ODBC-sources.ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
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
Supported programming languagesdBase proprietary IDE.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Python
R
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnono infoThe IDE can access stored procedures in other database systems.user defined functionsnouser defined functions and aggregates, HTTP Server extensions in Java
Triggersnonoyesnoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednonehorizontal partitioningyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnonenoneMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyesyesnoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infonot for dBase internal data, but IDE does support transactions when accessing external DBMSACID infoMVCCnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nonoyes
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users and rolesfine grained access rights according to SQL-standardnoAccess rights for users and roles

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More resources
Amazon CloudSearchdBASEPostgres-XLSpark SQLStardog
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