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DBMS > AlaSQL vs. Firebase Realtime Database vs. Kinetica vs. Manticore Search vs. Transwarp KunDB

System Properties Comparison AlaSQL vs. Firebase Realtime Database vs. Kinetica vs. Manticore Search vs. Transwarp KunDB

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonKinetica  Xexclude from comparisonManticore Search  Xexclude from comparisonTranswarp KunDB  Xexclude from comparison
DescriptionJavaScript DBMS libraryCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Fully vectorized database across both GPUs and CPUsMulti-storage database for search, including full-text search.OLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelDocument store
Relational DBMS
Document storeRelational DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Time Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score0.14
Rank#341  Overall
#149  Relational DBMS
Websitealasql.orgfirebase.google.com/­products/­realtime-databasewww.kinetica.commanticoresearch.comwww.transwarp.cn/­en/­product/­kundb
Technical documentationgithub.com/­AlaSQL/­alasqlfirebase.google.com/­docs/­databasedocs.kinetica.commanual.manticoresearch.com
DeveloperAndrey Gershun & Mathias R. WulffGoogle infoacquired by Google 2014KineticaManticore SoftwareTranswarp
Initial release2014201220122017
Current release7.1, August 20216.0, February 2023
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialcommercialOpen Source infoGPL version 2commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC, C++C++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedLinuxFreeBSD
Linux
macOS
Windows
Data schemeschema-freeschema-freeyesFixed schemayes
Typing infopredefined data types such as float or datenoyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.nononoCan index from XML
Secondary indexesnoyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noSQL-like DML and DDL statementsSQL-like query languageyes
APIs and other access methodsJavaScript APIAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesJavaScriptJava
JavaScript
Objective-C
C++
Java
JavaScript (Node.js)
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'user defined functionsuser defined functionsyes
TriggersyesCallbacks are triggered when data changesyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageyesnoyes infoisolated transactions for atomic changes and binary logging for safe writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAM
User concepts infoAccess controlnoyes, based on authentication and database rulesAccess rights for users and roles on table levelnoyes

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More resources
AlaSQLFirebase Realtime DatabaseKineticaManticore SearchTranswarp KunDB
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