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DBMS > Apache Impala vs. EsgynDB vs. KairosDB vs. Quasardb vs. RDF4J

System Properties Comparison Apache Impala vs. EsgynDB vs. KairosDB vs. Quasardb vs. RDF4J

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonEsgynDB  Xexclude from comparisonKairosDB  Xexclude from comparisonQuasardb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionDistributed Time Series DBMS based on Cassandra or H2Distributed, high-performance timeseries databaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSRelational DBMSTime Series DBMSTime Series DBMSRDF store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Websiteimpala.apache.orgwww.esgyn.cngithub.com/­kairosdb/­kairosdbquasar.airdf4j.org
Technical documentationimpala.apache.org/­impala-docs.htmlkairosdb.github.iodoc.quasar.ai/­masterrdf4j.org/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaEsgynquasardbSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20132015201320092004
Current release4.1.0, June 20221.2.2, November 20183.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonononono
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Implementation languageC++C++, JavaJavaC++Java
Server operating systemsLinuxLinuxLinux
OS X
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesschema-freeschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binaryyes
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.nononono
Secondary indexesyesyesnoyes infowith tagsyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnoSQL-like query languageno
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
Graphite protocol
HTTP REST
Telnet API
HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesAll languages supporting JDBC/ODBCAll languages supporting JDBC/ODBC/ADO.NetJava
JavaScript infoNode.js
PHP
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceJava Stored Proceduresnonoyes
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on CassandraSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication between multi datacentersselectable replication factor infobased on CassandraSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes 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.nononoyes infoTransient mode
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardsimple password-based access controlCryptographically strong user authentication and audit trailno

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More resources
Apache ImpalaEsgynDBKairosDBQuasardbRDF4J infoformerly known as Sesame
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