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DBMS > Apache Pinot vs. HEAVY.AI vs. HugeGraph vs. Kinetica vs. NuoDB

System Properties Comparison Apache Pinot vs. HEAVY.AI vs. HugeGraph vs. Kinetica vs. NuoDB

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHugeGraph  Xexclude from comparisonKinetica  Xexclude from comparisonNuoDB  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA fast-speed and highly-scalable Graph DBMSFully vectorized database across both GPUs and CPUsNuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelRelational DBMSRelational DBMSGraph DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.89
Rank#198  Overall
#92  Relational DBMS
Websitepinot.apache.orggithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­hugegraph
hugegraph.apache.org
www.kinetica.comwww.3ds.com/­nuodb-distributed-sql-database
Technical documentationdocs.pinot.apache.orgdocs.heavy.aihugegraph.apache.org/­docsdocs.kinetica.comdoc.nuodb.com
DeveloperApache Software Foundation and contributorsHEAVY.AI, Inc.BaiduKineticaDassault Systèmes infooriginally NuoDB, Inc.
Initial release20152016201820122013
Current release1.0.0, September 20235.10, January 20220.97.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; enterprise edition availableOpen Source infoApache Version 2.0commercialcommercial infolimited edition free
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 languageJavaC++ and CUDAJavaC, C++C++
Server operating systemsAll OS with a Java JDK11 or higherLinuxLinux
macOS
Unix
Linuxhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononono
Secondary indexesnoyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLSQL-like query languageyesnoSQL-like DML and DDL statementsyes
APIs and other access methodsJDBCJDBC
ODBC
Thrift
Vega
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
Python
All languages supporting JDBC/ODBC/Thrift
Python
Groovy
Java
Python
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsuser defined functionsJava, SQL
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoRound robinyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingdata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationyes infoManaged transparently by NuoDB
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC
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 infoGPU vRAM or System RAMyes infoTemporary table
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissionsAccess rights for users and roles on table levelStandard SQL roles/ privileges, Administrative Users

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More resources
Apache PinotHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HugeGraphKineticaNuoDB
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