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DBMS > Apache Pinot vs. BoltDB vs. GridGain vs. Hive

System Properties Comparison Apache Pinot vs. BoltDB vs. GridGain vs. Hive

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonBoltDB  Xexclude from comparisonGridGain  Xexclude from comparisonHive  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyAn embedded key-value store for Go.GridGain is an in-memory computing platform, built on Apache Ignitedata warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelRelational DBMSKey-value storeKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score0.74
Rank#220  Overall
#31  Key-value stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Websitepinot.apache.orggithub.com/­boltdb/­boltwww.gridgain.comhive.apache.org
Technical documentationdocs.pinot.apache.orgwww.gridgain.com/­docs/­index.htmlcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperApache Software Foundation and contributorsGridGain Systems, Inc.Apache Software Foundation infoinitially developed by Facebook
Initial release2015201320072012
Current release1.0.0, September 2023GridGain 8.5.13.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT LicensecommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJava, C++, .NetJava
Server operating systemsAll OS with a Java JDK11 or higherBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
All OS with a Java VM
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.noyes
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL-like query languagenoANSI-99 for query and DML statements, subset of DDLSQL-like DML and DDL statements
APIs and other access methodsJDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Thrift
Supported programming languagesGo
Java
Python
GoC#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yes infouser defined functions and integration of map-reduce
Triggersnoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes (replicated cache)selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)yes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDno
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.noyes
User concepts infoAccess controlnoSecurity Hooks for custom implementationsAccess rights for users, groups and roles

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Apache PinotBoltDBGridGainHive
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