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DBMS > AlaSQL vs. Interbase vs. openGemini vs. Spark SQL

System Properties Comparison AlaSQL vs. Interbase vs. openGemini vs. Spark SQL

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonInterbase  Xexclude from comparisonopenGemini  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionJavaScript DBMS libraryLight-weight proven RDBMS infooriginally from BorlandAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilitySpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Relational DBMS
Relational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score0.01
Rank#375  Overall
#39  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitealasql.orgwww.embarcadero.com/­products/­interbasewww.opengemini.org
github.com/­openGemini
spark.apache.org/­sql
Technical documentationgithub.com/­AlaSQL/­alasqldocs.embarcadero.com/­products/­interbasedocs.opengemini.org/­guidespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAndrey Gershun & Mathias R. WulffEmbarcaderoHuawei and openGemini communityApache Software Foundation
Initial release2014198420222014
Current releaseInterBase 2020, December 20191.1, July 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptCGoScala
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Android
iOS
Linux
OS X
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesInteger, Float, Boolean, Stringyes
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.nono infoexport as XML data possiblenono
Secondary indexesnoyesyesno
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yesSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsJavaScript APIADO.NET
JDBC
ODBC
HTTP RESTJDBC
ODBC
Supported programming languagesJavaScript.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infoInterbase procedure and trigger languagenono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneInterbase Change Viewsyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDnono
Concurrency infoSupport for concurrent manipulation of datayes infoMultiversion concurreny controlyesyes
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.yesyesyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardAdministrators and common users accountsno

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More resources
AlaSQLInterbaseopenGeminiSpark SQL
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