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DBMS > AlaSQL vs. Altibase vs. Fujitsu Enterprise Postgres vs. GridDB

System Properties Comparison AlaSQL vs. Altibase vs. Fujitsu Enterprise Postgres vs. GridDB

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAltibase  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonGridDB  Xexclude from comparison
DescriptionJavaScript DBMS libraryAn enterprise grade, high-performance RDBMSEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Scalable in-memory time series database optimized for IoT and Big Data
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score1.02
Rank#189  Overall
#88  Relational DBMS
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Websitealasql.orgaltibase.comwww.postgresql.fastware.comgriddb.net
Technical documentationgithub.com/­AlaSQL/­alasqlgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualswww.postgresql.fastware.com/­product-manualsdocs.griddb.net
DeveloperAndrey Gershun & Mathias R. WulffAltibasePostgreSQL Global Development Group, Fujitsu Australia Software TechnologyToshiba Corporation
Initial release201419992013
Current releasev7.3, 2023, August 2023Fujitsu Enterprise Postgres 14, January 20225.1, August 2022
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercial infoOpen source edition discontinued with March 2023commercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++CC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)AIX
HP-UX
Linux
Linux
Windows
Linux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes infonumerical, string, blob, geometry, boolean, timestamp
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.nonono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.ANSI SQL-92yesSQL92, SQL-like TQL (Toshiba Query Language)
APIs and other access methodsJavaScript APIJDBC
ODBC
Proprietary protocol
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Supported programming languagesJavaScriptC
C++
Java
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnostored procedures and stored functionsuser defined functionsno
Triggersyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingpartitioning by range, list and by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACIDACID at container level
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users can be defined per database
More information provided by the system vendor
AlaSQLAltibaseFujitsu Enterprise PostgresGridDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
AlaSQLAltibaseFujitsu Enterprise PostgresGridDB
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