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DBMS > AlaSQL vs. Apache Pinot vs. JaguarDB

System Properties Comparison AlaSQL vs. Apache Pinot vs. JaguarDB

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonApache Pinot  Xexclude from comparisonJaguarDB  Xexclude from comparison
DescriptionJavaScript DBMS libraryRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyPerformant, highly scalable DBMS for AI and IoT applications
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value store
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#259  Overall
#40  Document stores
#120  Relational DBMS
Score0.58
Rank#244  Overall
#111  Relational DBMS
Score0.09
Rank#356  Overall
#53  Key-value stores
#13  Vector DBMS
Websitealasql.orgpinot.apache.orgwww.jaguardb.com
Technical documentationgithub.com/­AlaSQL/­alasqldocs.pinot.apache.orgwww.jaguardb.com/­support.html
DeveloperAndrey Gershun & Mathias R. WulffApache Software Foundation and contributorsDataJaguar, Inc.
Initial release201420152015
Current release1.0.0, September 20233.3 July 2023
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2.0Open Source infoGPL V3.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJavaC++ infothe server part. Clients available in other languages
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)All OS with a Java JDK11 or higherLinux
Data schemeschema-freeyesyes
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.nono
Secondary indexesnoyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-like query languageA subset of ANSI SQL is implemented infobut no views, foreign keys, triggers
APIs and other access methodsJavaScript APIJDBCJDBC
ODBC
Supported programming languagesJavaScriptGo
Java
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnono
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageno
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnorights management via user accounts

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More resources
AlaSQLApache PinotJaguarDB
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