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DBMS > GridGain vs. Hazelcast vs. JSqlDb vs. Kinetica vs. Microsoft Azure Data Explorer

System Properties Comparison GridGain vs. Hazelcast vs. JSqlDb vs. Kinetica vs. Microsoft Azure Data Explorer

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHazelcast  Xexclude from comparisonJSqlDb  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA widely adopted in-memory data gridJavaScript Query Language Database, stores JavaScript objects and primitivesFully vectorized database across both GPUs and CPUsFully managed big data interactive analytics platform
Primary database modelKey-value store
Relational DBMS
Key-value storeDocument store
Object oriented DBMS
Relational DBMSRelational DBMS infocolumn oriented
Secondary database modelsDocument store infoJSON support with IMDG 3.12Spatial DBMS
Time Series DBMS
Document store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score4.38
Rank#77  Overall
#41  Relational DBMS
Websitewww.gridgain.comhazelcast.comjsqldb.org (offline)www.kinetica.comazure.microsoft.com/­services/­data-explorer
Technical documentationwww.gridgain.com/­docs/­index.htmlhazelcast.org/­imdg/­docsdocs.kinetica.comdocs.microsoft.com/­en-us/­azure/­data-explorer
DeveloperGridGain Systems, Inc.HazelcastKonrad von BackstromKineticaMicrosoft
Initial release20072008201820122019
Current releaseGridGain 8.5.15.3.6, November 20230.8, December 20187.1, August 2021cloud service with continuous releases
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetJavaC, C++
Server operating systemsLinux
OS X
Solaris
Windows
All OS with a Java VMLinux
macOS
Windows
Linuxhosted
Data schemeyesschema-freeschema-freeyesFixed schema with schema-less datatypes (dynamic)
Typing infopredefined data types such as float or dateyesyesnoyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types
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.yesyes infothe object must implement a serialization strategynonoyes
Secondary indexesyesyesnoyesall fields are automatically indexed
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query languagenoSQL-like DML and DDL statementsKusto Query Language (KQL), SQL subset
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
JavaScriptC++
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes infoEvent Listeners, Executor Servicesfunctions in JavaScriptuser defined functionsYes, possible languages: KQL, Python, R
Triggersyes (cache interceptors and events)yes infoEventsnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infoReplicated MapnoneSource-replica replicationyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yesnonoSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitednono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing RocksDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoGPU vRAM or System RAMno
User concepts infoAccess controlSecurity Hooks for custom implementationsRole-based access controlAccess rights for users and roles on table levelAzure Active Directory Authentication

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More resources
GridGainHazelcastJSqlDbKineticaMicrosoft Azure Data Explorer
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