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DBMS > Apache Impala vs. RDFox vs. Stardog vs. SWC-DB vs. Titan

System Properties Comparison Apache Impala vs. RDFox vs. Stardog vs. SWC-DB vs. Titan

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonRDFox  Xexclude from comparisonStardog  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionAnalytic DBMS for HadoopHigh performance knowledge graph and semantic reasoning engineEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA high performance, scalable Wide Column DBMSTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMSGraph DBMS
RDF store
Graph DBMS
RDF store
Wide column storeGraph DBMS
Secondary database modelsDocument storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Score0.01
Rank#376  Overall
#13  Wide column stores
Websiteimpala.apache.orgwww.oxfordsemantic.techwww.stardog.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
github.com/­thinkaurelius/­titan
Technical documentationimpala.apache.org/­impala-docs.htmldocs.oxfordsemantic.techdocs.stardog.comgithub.com/­thinkaurelius/­titan/­wiki
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaOxford Semantic TechnologiesStardog-UnionAlex KashirinAurelius, owned by DataStax
Initial release20132017201020202012
Current release4.1.0, June 20226.0, Septermber 20227.3.0, May 20200.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoGPL V3Open Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++JavaC++Java
Server operating systemsLinuxLinux
macOS
Windows
Linux
macOS
Windows
LinuxLinux
OS X
Unix
Windows
Data schemeyesyes infoRDF schemasschema-free and OWL/RDFS-schema supportschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoYes, compatible with all major SQL variants through dedicated BI/SQL ServerSQL-like query languageno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
SPARQL 1.1
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Proprietary protocol
Thrift
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesAll languages supporting JDBC/ODBCC
Java
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C++Clojure
Java
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functions and aggregates, HTTP Server extensions in Javanoyes
Triggersnoyes infovia event handlersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorreplication via a shared file systemMulti-source replication in HA-Clusteryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency in HA-ClusterImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosRoles, resources, and access typesAccess rights for users and rolesUser authentification and security via Rexster Graph Server

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More resources
Apache ImpalaRDFoxStardogSWC-DB infoSuper Wide Column DatabaseTitan
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