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DBMS > Apache Pinot vs. Atos Standard Common Repository vs. Solr vs. Stardog vs. Yaacomo

System Properties Comparison Apache Pinot vs. Atos Standard Common Repository vs. Solr vs. Stardog vs. Yaacomo

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonSolr  Xexclude from comparisonStardog  Xexclude from comparisonYaacomo  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA widely used distributed, scalable search engine based on Apache LuceneEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSDocument store
Key-value store
Search engineGraph DBMS
RDF store
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websitepinot.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorysolr.apache.orgwww.stardog.comyaacomo.com
Technical documentationdocs.pinot.apache.orgsolr.apache.org/­resources.htmldocs.stardog.com
DeveloperApache Software Foundation and contributorsAtos Convergence CreatorsApache Software FoundationStardog-UnionQ2WEB GmbH
Initial release20152016200620102009
Current release1.0.0, September 202317039.6.1, May 20247.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen 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 languageJavaJavaJavaJava
Server operating systemsAll OS with a Java JDK11 or higherLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
macOS
Windows
Android
Linux
Windows
Data schemeyesSchema and schema-less with LDAP viewsyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyesoptionalyes 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.yesyesno infoImport/export of XML data possibleno
Secondary indexesyesyes infoAll search fields are automatically indexedyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLSQL-like query languagenoSolr Parallel SQL InterfaceYes, compatible with all major SQL variants through dedicated BI/SQL Serveryes
APIs and other access methodsJDBCLDAPJava 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
Supported programming languagesGo
Java
Python
All languages with LDAP bindings.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
Server-side scripts infoStored proceduresnoJava pluginsuser defined functions and aggregates, HTTP Server extensions in Java
Triggersyesyes infoUser configurable commands triggered on index changesyes infovia event handlersyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infocell divisionShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication in HA-ClusterSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsoptimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlLDAP bind authenticationyesAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
Apache PinotAtos Standard Common RepositorySolrStardogYaacomo
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