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

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

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonHive  Xexclude from comparisonHugeGraph  Xexclude from comparisonYottaDB  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 DBMSA fast and solid embedded Key-value store
Primary database modelRelational DBMSRelational DBMSGraph DBMSKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
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
Score0.20
Rank#317  Overall
#47  Key-value stores
Websitepinot.apache.orghive.apache.orggithub.com/­hugegraph
hugegraph.apache.org
yottadb.com
Technical documentationdocs.pinot.apache.orgcwiki.apache.org/­confluence/­display/­Hive/­Homehugegraph.apache.org/­docsyottadb.com/­resources/­documentation
DeveloperApache Software Foundation and contributorsApache Software Foundation infoinitially developed by FacebookBaiduYottaDB, LLC
Initial release2015201220182001
Current release1.0.0, September 20233.1.3, April 20220.9
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC
Server operating systemsAll OS with a Java JDK11 or higherAll OS with a Java VMLinux
macOS
Unix
Docker
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexno
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsnoby using the Octo plugin
APIs and other access methodsJDBCJDBC
ODBC
Thrift
Java API
RESTful HTTP API
TinkerPop Gremlin
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesGo
Java
Python
C++
Java
PHP
Python
Groovy
Java
Python
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceasynchronous Gremlin script jobs
Triggersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingyes infodepending on used storage backend, e.g. Cassandra and HBase
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 methodsyes infoquery execution via MapReducevia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes
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 permissionsUsers and groups based on OS-security mechanisms

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More resources
Apache PinotHiveHugeGraphYottaDB
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