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DBMS > Apache Kylin vs. GridGain vs. Hazelcast vs. Ignite vs. Memcached

System Properties Comparison Apache Kylin vs. GridGain vs. Hazelcast vs. Ignite vs. Memcached

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonGridGain  Xexclude from comparisonHazelcast  Xexclude from comparisonIgnite  Xexclude from comparisonMemcached  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackGridGain is an in-memory computing platform, built on Apache IgniteA widely adopted in-memory data gridApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.In-memory key-value store, originally intended for caching
Primary database modelRelational DBMSKey-value store
Relational DBMS
Key-value storeKey-value store
Relational DBMS
Key-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Websitekylin.apache.orgwww.gridgain.comhazelcast.comignite.apache.orgwww.memcached.org
Technical documentationkylin.apache.org/­docswww.gridgain.com/­docs/­index.htmlhazelcast.org/­imdg/­docsapacheignite.readme.io/­docsgithub.com/­memcached/­memcached/­wiki
DeveloperApache Software Foundation, originally contributed from eBay IncGridGain Systems, Inc.HazelcastApache Software FoundationDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release20152007200820152003
Current release3.1.0, July 2020GridGain 8.5.15.3.6, November 2023Apache Ignite 2.61.6.25, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0Open Source infoBSD license
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 languageJavaJava, C++, .NetJavaC++, Java, .NetC
Server operating systemsLinuxLinux
OS X
Solaris
Windows
All OS with a Java VMLinux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Unix
Windows
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.noyesyes infothe object must implement a serialization strategyyes
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)ANSI-99 for query and DML statements, subset of DDLSQL-like query languageANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JCache
JPA
Memcached protocol
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Proprietary protocol
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes infoEvent Listeners, Executor Servicesyes (compute grid and cache interceptors can be used instead)no
Triggersyes (cache interceptors and events)yes infoEventsyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infoReplicated Mapyes (replicated cache)none infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes (compute grid and hadoop accelerator)yesyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsRole-based access controlSecurity Hooks for custom implementationsyes infousing SASL (Simple Authentication and Security Layer) protocol

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Apache KylinGridGainHazelcastIgniteMemcached
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