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

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

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonDuckDB  Xexclude from comparisonHive  Xexclude from comparisonHugeGraph  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyAn embeddable, in-process, column-oriented SQL OLAP RDBMSdata warehouse software for querying and managing large distributed datasets, built on HadoopA fast-speed and highly-scalable Graph DBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score4.57
Rank#74  Overall
#40  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Websitepinot.apache.orgduckdb.orghive.apache.orggithub.com/­hugegraph
hugegraph.apache.org
Technical documentationdocs.pinot.apache.orgduckdb.org/­docscwiki.apache.org/­confluence/­display/­Hive/­Homehugegraph.apache.org/­docs
DeveloperApache Software Foundation and contributorsApache Software Foundation infoinitially developed by FacebookBaidu
Initial release2015201820122018
Current release1.0.0, September 20230.10, February 20243.1.3, April 20220.9
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT LicenseOpen Source infoApache Version 2Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaJava
Server operating systemsAll OS with a Java JDK11 or higherserver-lessAll OS with a Java VMLinux
macOS
Unix
Data schemeyesyesyesyes
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 indexesyesyesyes infoalso supports composite index and range index
SQL infoSupport of SQLSQL-like query languageyesSQL-like DML and DDL statementsno
APIs and other access methodsJDBCArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
JDBC
ODBC
Thrift
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesGo
Java
Python
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
C++
Java
PHP
Python
Groovy
Java
Python
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceasynchronous Gremlin script jobs
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factoryes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducevia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
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 controlnoAccess rights for users, groups and rolesUsers, roles and permissions

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Apache PinotDuckDBHiveHugeGraph
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