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DBMS > Apache Spark (SQL) vs. Stardog vs. TerminusDB

System Properties Comparison Apache Spark (SQL) vs. Stardog vs. TerminusDB

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Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonStardog  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionApache Spark 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 virtualizationScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMSGraph DBMS
RDF store
Graph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score21.62
Rank#29  Overall
#18  Relational DBMS
Score1.73
Rank#130  Overall
#12  Graph DBMS
#6  RDF stores
Score0.15
Rank#327  Overall
#29  Graph DBMS
Websitespark.apache.org/­sqlwww.stardog.comterminusdb.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.stardog.comterminusdb.github.io/­terminusdb/­#
DeveloperApache Software FoundationStardog-UnionDataChemist Ltd.
Initial release201420102018
Current release3.5.0 ( 2.13), September 20237.3.0, May 202011.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial 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 servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaJavaProlog, Rust
Server operating systemsLinux
OS X
Windows
Linux
macOS
Windows
Linux
Data schemeyesschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyesyesyes
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 infoImport/export of XML data possibleno
Secondary indexesnoyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSQL-like DML and DDL statementsYes, compatible with all major SQL variants through dedicated BI/SQL ServerSQL-like query language (WOQL)
APIs and other access methodsJDBC
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 languagesJava
Python
R
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
JavaScript
Python
Server-side scripts infoStored proceduresnouser defined functions and aggregates, HTTP Server extensions in Javayes
Triggersnoyes infovia event handlersyes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CorenoneGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication in HA-ClusterJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoAccess rights for users and rolesRole-based access control

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More resources
Apache Spark (SQL)StardogTerminusDB infoformer name was DataChemist
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