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DBMS > Apache Impala vs. Quasardb vs. Solr vs. Stardog vs. Tibero

System Properties Comparison Apache Impala vs. Quasardb vs. Solr vs. Stardog vs. Tibero

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonQuasardb  Xexclude from comparisonSolr  Xexclude from comparisonStardog  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopDistributed, high-performance timeseries databaseA widely used distributed, scalable search engine based on Apache LuceneEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA secure RDBMS, designed for easy portability from Oracle
Primary database modelRelational DBMSTime Series DBMSSearch engineGraph DBMS
RDF store
Relational DBMS
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Score1.78
Rank#140  Overall
#64  Relational DBMS
Websiteimpala.apache.orgquasar.aisolr.apache.orgwww.stardog.comus.tmaxsoft.com/­products/­tibero
Technical documentationimpala.apache.org/­impala-docs.htmldoc.quasar.ai/­mastersolr.apache.org/­resources.htmldocs.stardog.comtechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaquasardbApache Software FoundationStardog-UnionTmaxSoft
Initial release20132009200620102003
Current release4.1.0, June 20223.14.1, January 20249.6.0, April 20247.3.0, May 20206, April 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache Version 2commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++JavaJavaC and Assembler
Server operating systemsLinuxBSD
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
macOS
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyesyes infointeger and binaryyes infosupports customizable data types and automatic typingyesyes
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.nonoyesno infoImport/export of XML data possibleyes
Secondary indexesyesyes infowith tagsyes infoAll search fields are automatically indexedyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageSolr Parallel SQL InterfaceYes, compatible with all major SQL variants through dedicated BI/SQL Serveryes
APIs and other access methodsJDBC
ODBC
HTTP APIJava API
RESTful HTTP/JSON API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoJava pluginsuser defined functions and aggregates, HTTP Server extensions in JavaPersistent Stored Procedure (PSM)
Triggersnonoyes infoUser configurable commands triggered on index changesyes infovia event handlersyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingShardingnonehorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication with selectable replication factoryesMulti-source replication in HA-ClusterMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducewith Hadoop integrationspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynononoyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeyesyesno infoplanned for next version
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosCryptographically strong user authentication and audit trailyesAccess rights for users and rolesfine grained access rights according to SQL-standard (SQL 92, SQL 99)

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Apache ImpalaQuasardbSolrStardogTibero
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