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DBMS > AlaSQL vs. Amazon Aurora vs. Fujitsu Enterprise Postgres vs. GeoMesa vs. Hazelcast

System Properties Comparison AlaSQL vs. Amazon Aurora vs. Fujitsu Enterprise Postgres vs. GeoMesa vs. Hazelcast

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAmazon Aurora  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonGeoMesa  Xexclude from comparisonHazelcast  Xexclude from comparison
DescriptionJavaScript DBMS libraryMySQL and PostgreSQL compatible cloud service by AmazonEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A widely adopted in-memory data grid
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSSpatial DBMSKey-value store
Secondary database modelsDocument storeDocument store
Spatial DBMS
Document store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Websitealasql.orgaws.amazon.com/­rds/­aurorawww.postgresql.fastware.comwww.geomesa.orghazelcast.com
Technical documentationgithub.com/­AlaSQL/­alasqldocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlwww.postgresql.fastware.com/­product-manualswww.geomesa.org/­documentation/­stable/­user/­index.htmlhazelcast.org/­imdg/­docs
DeveloperAndrey Gershun & Mathias R. WulffAmazonPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyCCRi and othersHazelcast
Initial release2014201520142008
Current releaseFujitsu Enterprise Postgres 14, January 20225.0.0, May 20245.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialcommercialOpen Source infoApache License 2.0Open Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptCScalaJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedLinux
Windows
All OS with a Java VM
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesyes
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.noyesnoyes infothe object must implement a serialization strategy
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yesyesnoSQL-like query language
APIs and other access methodsJavaScript APIADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesJavaScriptAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoyesuser defined functionsnoyes infoEvent Listeners, Executor Services
Triggersyesyesyesnoyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningpartitioning by range, list and by hashdepending on storage layerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSource-replica replicationdepending on storage layeryes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistencydepending on storage layerImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integrityyesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACIDnoone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesdepending on storage layeryes
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes infodepending on the DBMS used for storageRole-based access control

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More resources
AlaSQLAmazon AuroraFujitsu Enterprise PostgresGeoMesaHazelcast
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