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DBMS > Apache Impala vs. FileMaker vs. Stardog vs. TigerGraph vs. Yanza

System Properties Comparison Apache Impala vs. FileMaker vs. Stardog vs. TigerGraph vs. Yanza

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonFileMaker  Xexclude from comparisonStardog  Xexclude from comparisonTigerGraph  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAnalytic DBMS for HadoopFileMaker is a cross-platform RDBMS that includes a GUI frontend.Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeTime Series DBMS for IoT Applications
Primary database modelRelational DBMSRelational DBMSGraph DBMS
RDF store
Graph DBMSTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websiteimpala.apache.orgwww.claris.com/­filemakerwww.stardog.comwww.tigergraph.comyanza.com
Technical documentationimpala.apache.org/­impala-docs.htmlwww.claris.com/­resources/­documentationdocs.stardog.comdocs.tigergraph.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaClaris infoa subsidiary of AppleStardog-UnionYanza
Initial release20131983201020172015
Current release4.1.0, June 202219.4.1, November 20217.3.0, May 2020
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/studentscommercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++
Server operating systemsLinuxiOS infoclient part only
Linux
OS X
Windows
Linux
macOS
Windows
LinuxWindows
Data schemeyesyesschema-free and OWL/RDFS-schema supportyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.noyes infoA http query request can return the data in XML formatno infoImport/export of XML data possiblenono
Secondary indexesyesyesyes infosupports real-time indexing in full-text and geospatialno
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infovia pluginsYes, compatible with all major SQL variants through dedicated BI/SQL ServerSQL-like query language (GSQL)no
APIs and other access methodsJDBC
ODBC
Filemaker WebDirect
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
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCPHP.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C++
Java
any language that supports HTTP calls
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesuser defined functions and aggregates, HTTP Server extensions in Javayesno
Triggersnoyesyes infovia event handlersnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication, warm standby infosince Version 14Multi-source replication in HA-Clusternone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynoyesyes inforelationships in graphsyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDno
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.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberossimple rights management via user accounts and connection to external directory servicesAccess rights for users and rolesRole-based access controlno

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More resources
Apache ImpalaFileMakerStardogTigerGraphYanza
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