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DBMS > Amazon Aurora vs. EXASOL vs. Hazelcast vs. Ignite vs. JaguarDB

System Properties Comparison Amazon Aurora vs. EXASOL vs. Hazelcast vs. Ignite vs. JaguarDB

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonEXASOL  Xexclude from comparisonHazelcast  Xexclude from comparisonIgnite  Xexclude from comparisonJaguarDB  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A 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.Performant, highly scalable DBMS for AI and IoT applications
Primary database modelRelational DBMSRelational DBMSKey-value storeKey-value store
Relational DBMS
Key-value store
Vector DBMS
Secondary database modelsDocument storeDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.05
Rank#49  Overall
#31  Relational DBMS
Score2.47
Rank#119  Overall
#57  Relational DBMS
Score7.66
Rank#54  Overall
#5  Key-value stores
Score4.04
Rank#86  Overall
#12  Key-value stores
#46  Relational DBMS
Score0.06
Rank#372  Overall
#55  Key-value stores
#14  Vector DBMS
Websiteaws.amazon.com/­rds/­aurorawww.exasol.comhazelcast.comignite.apache.orgwww.jaguardb.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlwww.exasol.com/­resourceshazelcast.org/­imdg/­docsapacheignite.readme.io/­docswww.jaguardb.com/­support.html
DeveloperAmazonExasolHazelcastApache Software FoundationDataJaguar, Inc.
Initial release20152000200820152015
Current release5.3.6, November 2023Apache Ignite 2.63.3 July 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0Open Source infoGPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, Java, .NetC++ infothe server part. Clients available in other languages
Server operating systemshostedAll OS with a Java VMLinux
OS X
Solaris
Windows
Linux
Data schemeyesyesschema-freeyesyes
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.yesnoyes infothe object must implement a serialization strategyyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesyesSQL-like query languageANSI-99 for query and DML statements, subset of DDLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggers
APIs and other access methodsADO.NET
JDBC
ODBC
.Net
JDBC
ODBC
WebSocket
JCache
JPA
Memcached protocol
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
Lua
Python
R
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesuser defined functionsyes infoEvent Listeners, Executor Servicesyes (compute grid and cache interceptors can be used instead)no
Triggersyesyesyes infoEventsyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoReplicated Mapyes (replicated cache)Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationyesyes (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 ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDone or two-phase-commit; repeatable reads; read commitedACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardRole-based access controlSecurity Hooks for custom implementationsrights management via user accounts

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More resources
Amazon AuroraEXASOLHazelcastIgniteJaguarDB
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