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DBMS > Apache Pinot vs. Dgraph vs. EsgynDB vs. GridGain vs. Percona Server for MongoDB

System Properties Comparison Apache Pinot vs. Dgraph vs. EsgynDB vs. GridGain vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonGridGain  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGridGain is an in-memory computing platform, built on Apache IgniteA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelRelational DBMSGraph DBMSRelational DBMSKey-value store
Relational DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Websitepinot.apache.orgdgraph.iowww.esgyn.cnwww.gridgain.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationdocs.pinot.apache.orgdgraph.io/­docswww.gridgain.com/­docs/­index.htmldocs.percona.com/­percona-distribution-for-mongodb
DeveloperApache Software Foundation and contributorsDgraph Labs, Inc.EsgynGridGain Systems, Inc.Percona
Initial release20152016201520072015
Current release1.0.0, September 2023GridGain 8.5.13.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialcommercialOpen Source infoGPL Version 2
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 languageJavaGoC++, JavaJava, C++, .NetC++
Server operating systemsAll OS with a Java JDK11 or higherLinux
OS X
Windows
LinuxLinux
OS X
Solaris
Windows
Linux
Data schemeyesschema-freeyesyesschema-free
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.nonoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languagenoyesANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsJDBCGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
proprietary protocol using JSON
Supported programming languagesGo
Java
Python
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Java
PHP
Python
Ruby
Scala
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresnoJava Stored Proceduresyes (compute grid and cache interceptors can be used instead)JavaScript
Triggersnonoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication between multi datacentersyes (replicated cache)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes (compute grid and hadoop accelerator)yes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesyes infovia In-Memory Engine
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardSecurity Hooks for custom implementationsAccess rights for users and roles

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More resources
Apache PinotDgraphEsgynDBGridGainPercona Server for MongoDB
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