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DBMS > Apache Impala vs. atoti vs. FileMaker vs. RDF4J vs. Stardog

System Properties Comparison Apache Impala vs. atoti vs. FileMaker vs. RDF4J vs. Stardog

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonatoti  Xexclude from comparisonFileMaker  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.FileMaker is a cross-platform RDBMS that includes a GUI frontend.RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMSObject oriented DBMSRelational DBMSRDF storeGraph DBMS
RDF store
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
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websiteimpala.apache.orgatoti.iowww.claris.com/­filemakerrdf4j.orgwww.stardog.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.atoti.iowww.claris.com/­resources/­documentationrdf4j.org/­documentationdocs.stardog.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaActiveViamClaris infoa subsidiary of AppleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Stardog-Union
Initial release2013198320042010
Current release4.1.0, June 202219.4.1, November 20217.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree versions availablecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercial 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 servicenonononono
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Implementation languageC++JavaJavaJava
Server operating systemsLinuxiOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Linux
macOS
Windows
Data schemeyesyesyes infoRDF Schemasschema-free and OWL/RDFS-schema support
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.noyes infoA http query request can return the data in XML formatno infoImport/export of XML data possible
Secondary indexesyesyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSQL-like DML and DDL statementsMultidimensional Expressions (MDX)yes infovia pluginsnoYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsJDBC
ODBC
Filemaker WebDirect
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
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 languagesAll languages supporting JDBC/ODBCPHPJava
PHP
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducePythonyesyesuser defined functions and aggregates, HTTP Server extensions in Java
Triggersnoyesyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication, warm standby infosince Version 14noneMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
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 servicesnoAccess rights for users and roles

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More resources
Apache ImpalaatotiFileMakerRDF4J infoformerly known as SesameStardog
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