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DBMS > Adabas vs. AlaSQL vs. Apache Pinot vs. FileMaker vs. GridDB

System Properties Comparison Adabas vs. AlaSQL vs. Apache Pinot vs. FileMaker vs. GridDB

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonAlaSQL  Xexclude from comparisonApache Pinot  Xexclude from comparisonFileMaker  Xexclude from comparisonGridDB  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformJavaScript DBMS libraryRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyFileMaker is a cross-platform RDBMS that includes a GUI frontend.Scalable in-memory time series database optimized for IoT and Big Data
Primary database modelMultivalue DBMSDocument store
Relational DBMS
Relational DBMSRelational DBMSTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.64
Rank#104  Overall
#1  Multivalue DBMS
Score0.42
Rank#264  Overall
#42  Document stores
#122  Relational DBMS
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score45.20
Rank#20  Overall
#14  Relational DBMS
Score1.91
Rank#123  Overall
#10  Time Series DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlalasql.orgpinot.apache.orgwww.claris.com/­filemakergriddb.net
Technical documentationgithub.com/­AlaSQL/­alasqldocs.pinot.apache.orgwww.claris.com/­resources/­documentationdocs.griddb.net
DeveloperSoftware AGAndrey Gershun & Mathias R. WulffApache Software Foundation and contributorsClaris infoa subsidiary of AppleToshiba Corporation
Initial release19712014201519832013
Current release1.0.0, September 202319.4.1, November 20215.1, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoMIT-LicenseOpen Source infoApache Version 2.0commercialOpen 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 servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJavaC++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
server-less, requires a JavaScript environment (browser, Node.js)All OS with a Java JDK11 or higheriOS infoclient part only
Linux
OS X
Windows
Linux
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes 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.nonoyes infoA http query request can return the data in XML formatno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewayClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-like query languageyes infovia pluginsSQL92, SQL-like TQL (Toshiba Query Language)
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JavaScript APIJDBCFilemaker WebDirect
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Supported programming languagesNaturalJavaScriptGo
Java
Python
PHPC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresin Naturalnoyesno
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistanonehorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatornoneSource-replica replication, warm standby infosince Version 14Source-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 systemImmediate ConsistencynoneImmediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infoonly for local storage and DOM-storagenoACID at container level
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes 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.noyesyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)nosimple rights management via user accounts and connection to external directory servicesAccess rights for users can be defined per database

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Adabas infodenotes "adaptable data base"AlaSQLApache PinotFileMakerGridDB
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