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DBMS > Amazon Aurora vs. EXASOL vs. FileMaker vs. Hazelcast vs. TypeDB

System Properties Comparison Amazon Aurora vs. EXASOL vs. FileMaker vs. Hazelcast vs. TypeDB

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonEXASOL  Xexclude from comparisonFileMaker  Xexclude from comparisonHazelcast  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.FileMaker is a cross-platform RDBMS that includes a GUI frontend.A widely adopted in-memory data gridTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value storeGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsDocument storeDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.65
Rank#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.exasol.comwww.claris.com/­filemakerhazelcast.comtypedb.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlwww.exasol.com/­resourceswww.claris.com/­resources/­documentationhazelcast.org/­imdg/­docstypedb.com/­docs
DeveloperAmazonExasolClaris infoa subsidiary of AppleHazelcastVaticle
Initial release20152000198320082016
Current release19.4.1, November 20215.3.6, November 20232.26.3, January 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoGPL Version 3, commercial licenses available
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 languageJavaJava
Server operating systemshostediOS infoclient part only
Linux
OS X
Windows
All OS with a Java VMLinux
OS X
Windows
Data schemeyesyesyesschema-freeyes
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 infoA http query request can return the data in XML formatyes infothe object must implement a serialization strategyno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesyesyes infovia pluginsSQL-like query languageno
APIs and other access methodsADO.NET
JDBC
ODBC
.Net
JDBC
ODBC
WebSocket
Filemaker WebDirect
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
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
PHP.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyesuser defined functionsyesyes infoEvent Listeners, Executor Servicesno
Triggersyesyesyesyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnoneShardingSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication, warm standby infosince Version 14yes infoReplicated MapMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnoyesyes infoby using Apache Kafka and Apache Zookeeper
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 integrityyesyesyesnono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoone or two-phase-commit; repeatable reads; read commitedACID
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.yesyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardsimple rights management via user accounts and connection to external directory servicesRole-based access controlyes infoat REST API level; other APIs in progress
More information provided by the system vendor
Amazon AuroraEXASOLFileMakerHazelcastTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
Amazon AuroraEXASOLFileMakerHazelcastTypeDB infoformerly named Grakn
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