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DBMS > Apache Pinot vs. Galaxybase vs. Hive vs. HugeGraph vs. Solr

System Properties Comparison Apache Pinot vs. Galaxybase vs. Hive vs. HugeGraph vs. Solr

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonGalaxybase  Xexclude from comparisonHive  Xexclude from comparisonHugeGraph  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyScalable, ACID-compliant native distributed parallel graph platformdata warehouse software for querying and managing large distributed datasets, built on HadoopA fast-speed and highly-scalable Graph DBMSA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSGraph DBMSRelational DBMSGraph DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score0.00
Rank#383  Overall
#39  Graph DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitepinot.apache.orggalaxybase.comhive.apache.orggithub.com/­hugegraph
hugegraph.apache.org
solr.apache.org
Technical documentationdocs.pinot.apache.orgcwiki.apache.org/­confluence/­display/­Hive/­Homehugegraph.apache.org/­docssolr.apache.org/­resources.html
DeveloperApache Software Foundation and contributorsChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司Apache Software Foundation infoinitially developed by FacebookBaiduApache Software Foundation
Initial release20152017201220182006
Current release1.0.0, September 2023Nov 20, November 20213.1.3, April 20220.99.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and JavaJavaJavaJava
Server operating systemsAll OS with a Java JDK11 or higherLinuxAll OS with a Java VMLinux
macOS
Unix
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesStrong typed schemayesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyesyes infosupports customizable data types and automatic typing
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.nonoyes
Secondary indexesyesyesyes infoalso supports composite index and range indexyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-like query languagenoSQL-like DML and DDL statementsnoSolr Parallel SQL Interface
APIs and other access methodsJDBCBrowser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
JDBC
ODBC
Thrift
Java API
RESTful HTTP API
TinkerPop Gremlin
Java API
RESTful HTTP/JSON API
Supported programming languagesGo
Java
Python
Go
Java
Python
C++
Java
PHP
Python
Groovy
Java
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined procedures and functionsyes infouser defined functions and integration of map-reduceasynchronous Gremlin script jobsJava plugins
Triggersnonoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infodepending on used storage backend, e.g. Cassandra and HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducevia hugegraph-sparkspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDoptimistic locking
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.yesyesyes
User concepts infoAccess controlRole-based access controlAccess rights for users, groups and rolesUsers, roles and permissionsyes

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