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DBMS > Apache Pinot vs. GridGain vs. Pinecone

System Properties Comparison Apache Pinot vs. GridGain vs. Pinecone

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonGridGain  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyGridGain is an in-memory computing platform, built on Apache IgniteA managed, cloud-native vector database
Primary database modelRelational DBMSColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score3.02
Rank#87  Overall
#3  Vector DBMS
Websitepinot.apache.orgwww.gridgain.comwww.pinecone.io
Technical documentationdocs.pinot.apache.orgwww.gridgain.com/­docs/­index.htmldocs.pinecone.io/­docs/­overview
DeveloperApache Software Foundation and contributorsGridGain Systems, Inc.Pinecone Systems, Inc
Initial release201520072019
Current release1.0.0, September 2023GridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial, open sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .Net, Python, REST, SQL
Server operating systemsAll OS with a Java JDK11 or higherLinux
OS X
Solaris
Windows
z/OS
hosted
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyesString, Number, Boolean
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.yesno
Secondary indexesyes
SQL infoSupport of SQLSQL-like query languageANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsJDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP API
Supported programming languagesGo
Java
Python
C#
C++
Java
PHP
Python
Ruby
Scala
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)
Triggersyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations

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More resources
Apache PinotGridGainPinecone
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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