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DBMS > Apache Pinot vs. Hive vs. HugeGraph vs. OpenMLDB

System Properties Comparison Apache Pinot vs. Hive vs. HugeGraph vs. OpenMLDB

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonHive  Xexclude from comparisonHugeGraph  Xexclude from comparisonOpenMLDB  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencydata warehouse software for querying and managing large distributed datasets, built on HadoopA fast-speed and highly-scalable Graph DBMSAn open-source machine learning database that provides a feature platform for training and inference
Primary database modelRelational DBMSRelational DBMSGraph DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Websitepinot.apache.orghive.apache.orggithub.com/­hugegraph
hugegraph.apache.org
openmldb.ai
Technical documentationdocs.pinot.apache.orgcwiki.apache.org/­confluence/­display/­Hive/­Homehugegraph.apache.org/­docsopenmldb.ai/­docs/­zh/­main
DeveloperApache Software Foundation and contributorsApache Software Foundation infoinitially developed by FacebookBaidu4 Paradigm Inc.
Initial release2015201220182020
Current release1.0.0, September 20233.1.3, April 20220.92024-2 February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2Open Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC++, Java, Scala
Server operating systemsAll OS with a Java JDK11 or higherAll OS with a Java VMLinux
macOS
Unix
Linux
Data schemeyesyesyesFixed schema
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsnoyes
APIs and other access methodsJDBCJDBC
ODBC
Thrift
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
SQLAlchemy
Supported programming languagesGo
Java
Python
C++
Java
PHP
Python
Groovy
Java
Python
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceasynchronous Gremlin script jobsno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducevia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users, groups and rolesUsers, roles and permissionsfine grained access rights according to SQL-standard

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Apache PinotHiveHugeGraphOpenMLDB
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