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DBMS > AlaSQL vs. Fujitsu Enterprise Postgres vs. Hazelcast

System Properties Comparison AlaSQL vs. Fujitsu Enterprise Postgres vs. Hazelcast

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonHazelcast  Xexclude from comparison
DescriptionJavaScript DBMS libraryEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.A widely adopted in-memory data grid
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value store
Secondary database modelsDocument 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
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Websitealasql.orgwww.postgresql.fastware.comhazelcast.com
Technical documentationgithub.com/­AlaSQL/­alasqlwww.postgresql.fastware.com/­product-manualshazelcast.org/­imdg/­docs
DeveloperAndrey Gershun & Mathias R. WulffPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyHazelcast
Initial release20142008
Current releaseFujitsu Enterprise Postgres 14, January 20225.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptCJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
Windows
All OS with a Java VM
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyes
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.noyes infothe object must implement a serialization strategy
Secondary indexesnoyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yesSQL-like query language
APIs and other access methodsJavaScript APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesJavaScript.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 proceduresnouser defined functionsyes infoEvent Listeners, Executor Services
Triggersyesyesyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesnonepartitioning by range, list and by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardRole-based access control

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More resources
AlaSQLFujitsu Enterprise PostgresHazelcast
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