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DBMS > Apache Pinot vs. Dolt vs. GridGain

System Properties Comparison Apache Pinot vs. Dolt vs. GridGain

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonDolt  Xexclude from comparisonGridGain  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA MySQL compatible DBMS with Git-like versioning of data and schemaGridGain is an in-memory computing platform, built on Apache Ignite
Primary database modelRelational DBMSRelational DBMSColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score0.93
Rank#194  Overall
#90  Relational DBMS
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Websitepinot.apache.orggithub.com/­dolthub/­dolt
www.dolthub.com
www.gridgain.com
Technical documentationdocs.pinot.apache.orgdocs.dolthub.comwww.gridgain.com/­docs/­index.html
DeveloperApache Software Foundation and contributorsDoltHub IncGridGain Systems, Inc.
Initial release201520182007
Current release1.0.0, September 2023GridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercial, open source
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJava, C++, .Net, Python, REST, SQL
Server operating systemsAll OS with a Java JDK11 or higherLinux
macOS
Windows
Linux
OS X
Solaris
Windows
z/OS
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyes
SQL infoSupport of SQLSQL-like query languageyesANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsJDBCCLI Client
HTTP REST
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesGo
Java
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infocurrently in alpha releaseyes (compute grid and cache interceptors can be used instead)
Triggersyesyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.yes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
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.yes
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupRole-based access control
Security Hooks for custom implementations

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More resources
Apache PinotDoltGridGain
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