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DBMS > jBASE vs. Microsoft Azure Data Explorer vs. SAP SQL Anywhere vs. Stardog vs. TerminusDB

System Properties Comparison jBASE vs. Microsoft Azure Data Explorer vs. SAP SQL Anywhere vs. Stardog vs. TerminusDB

Editorial information provided by DB-Engines
NamejBASE  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonStardog  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionA robust multi-value DBMS comprising development tools and middlewareFully managed big data interactive analytics platformRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelMultivalue DBMSRelational DBMS infocolumn orientedRelational DBMSGraph DBMS
RDF store
Graph DBMS
Secondary database modelsDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score3.80
Rank#81  Overall
#43  Relational DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websitewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbaseazure.microsoft.com/­services/­data-explorerwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.stardog.comterminusdb.com
Technical documentationdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.microsoft.com/­en-us/­azure/­data-explorerhelp.sap.com/­docs/­SAP_SQL_Anywheredocs.stardog.comterminusdb.github.io/­terminusdb/­#
DeveloperRocket Software (formerly Zumasys)MicrosoftSAP infoformerly SybaseStardog-UnionDataChemist Ltd.
Initial release19912019199220102018
Current release5.7cloud service with continuous releases17, July 20157.3.0, May 202011.0.0, January 2023
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaProlog, Rust
Server operating systemsAIX
Linux
Windows
hostedAIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
Data schemeschema-freeFixed schema with schema-less datatypes (dynamic)yesschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateoptionalyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyesyesyes
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.yesyesyesno infoImport/export of XML data possibleno
Secondary indexesall fields are automatically indexedyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLEmbedded SQL for jBASE in BASICKusto Query Language (KQL), SQL subsetyesYes, compatible with all major SQL variants through dedicated BI/SQL ServerSQL-like query language (WOQL)
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET
HTTP API
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
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languages.Net
Basic
Jabbascript
Java
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
JavaScript
Python
Server-side scripts infoStored proceduresyesYes, possible languages: KQL, Python, Ryes, in C/C++, Java, .Net or Perluser defined functions and aggregates, HTTP Server extensions in Javayes
Triggersyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyesyes infovia event handlersyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicenonenoneGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication infoDatabase mirroringMulti-source replication in HA-ClusterJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoSpark connector (open source): github.com/­Azure/­azure-kusto-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynonoyesyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlAccess rights can be defined down to the item levelAzure Active Directory Authenticationfine grained access rights according to SQL-standardAccess rights for users and rolesRole-based access control

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More resources
jBASEMicrosoft Azure Data ExplorerSAP SQL Anywhere infoformerly called Adaptive Server AnywhereStardogTerminusDB infoformer name was DataChemist
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