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DBMS > Apache Pinot vs. GridGain vs. NSDb vs. TinkerGraph

System Properties Comparison Apache Pinot vs. GridGain vs. NSDb vs. TinkerGraph

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonGridGain  Xexclude from comparisonNSDb  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyGridGain is an in-memory computing platform, built on Apache IgniteScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelRelational DBMSKey-value store
Relational DBMS
Time Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websitepinot.apache.orgwww.gridgain.comnsdb.iotinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.pinot.apache.orgwww.gridgain.com/­docs/­index.htmlnsdb.io/­Architecture
DeveloperApache Software Foundation and contributorsGridGain Systems, Inc.
Initial release2015200720172009
Current release1.0.0, September 2023GridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetJava, ScalaJava
Server operating systemsAll OS with a Java JDK11 or higherLinux
OS X
Solaris
Windows
Linux
macOS
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyes
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.yesnono
Secondary indexesyesall fields are automatically indexedno
SQL infoSupport of SQLSQL-like query languageANSI-99 for query and DML statements, subset of DDLSQL-like query languageno
APIs and other access methodsJDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
gRPC
HTTP REST
WebSocket
TinkerPop 3
Supported programming languagesGo
Java
Python
C#
C++
Java
PHP
Python
Ruby
Scala
Java
Scala
Groovy
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nono
Triggersyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integritynonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesno
Durability infoSupport for making data persistentyesUsing Apache Luceneoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsno

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More resources
Apache PinotGridGainNSDbTinkerGraph
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