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DBMS > AlaSQL vs. Apache Impala vs. RDF4J

System Properties Comparison AlaSQL vs. Apache Impala vs. RDF4J

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonApache Impala  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionJavaScript DBMS libraryAnalytic DBMS for HadoopRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelDocument store
Relational DBMS
Relational DBMSRDF store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitealasql.orgimpala.apache.orgrdf4j.org
Technical documentationgithub.com/­AlaSQL/­alasqlimpala.apache.org/­impala-docs.htmlrdf4j.org/­documentation
DeveloperAndrey Gershun & Mathias R. WulffApache Software Foundation infoApache top-level project, originally developed by ClouderaSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release201420132004
Current release4.1.0, June 2022
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++Java
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)LinuxLinux
OS X
Unix
Windows
Data schemeschema-freeyesyes infoRDF Schemas
Typing infopredefined data types such as float or datenoyesyes
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
Secondary indexesnoyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-like DML and DDL statementsno
APIs and other access methodsJavaScript APIJDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesJavaScriptAll languages supporting JDBC/ODBCJava
PHP
Python
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnoAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosno

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More resources
AlaSQLApache ImpalaRDF4J infoformerly known as Sesame
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