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DBMS > AlaSQL vs. Interbase vs. Kyligence Enterprise vs. Milvus vs. Spark SQL

System Properties Comparison AlaSQL vs. Interbase vs. Kyligence Enterprise vs. Milvus vs. Spark SQL

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonInterbase  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonMilvus  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionJavaScript DBMS libraryLight-weight proven RDBMS infooriginally from BorlandA distributed analytics engine for big data, built on top of Apache KylinA DBMS designed for efficient storage of vector data and vector similarity searchesSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSVector 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
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitealasql.orgwww.embarcadero.com/­products/­interbasekyligence.io/­kyligence-enterprisemilvus.iospark.apache.org/­sql
Technical documentationgithub.com/­AlaSQL/­alasqldocs.embarcadero.com/­products/­interbasemilvus.io/­docs/­overview.mdspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAndrey Gershun & Mathias R. WulffEmbarcaderoKyligence, Inc.Apache Software Foundation
Initial release20141984201620192014
Current releaseInterBase 2020, December 20192.3.4, January 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialcommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageJavaScriptCJavaC++, GoScala
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Android
iOS
Linux
OS X
Windows
LinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesVector, Numeric and 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 possiblenonono
Secondary indexesnoyesyesnono
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yesANSI SQL for queries (using Apache Calcite)noSQL-like DML and DDL statements
APIs and other access methodsJavaScript APIADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
Supported programming languagesJavaScript.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
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 Viewsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable 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 controlyesyesyes
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.yesyesnoyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardRole based access control and fine grained access rightsno
More information provided by the system vendor
AlaSQLInterbaseKyligence EnterpriseMilvusSpark SQL
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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More resources
AlaSQLInterbaseKyligence EnterpriseMilvusSpark SQL
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