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DBMS > AlaSQL vs. GridGain vs. Hive vs. JaguarDB vs. Quasardb

System Properties Comparison AlaSQL vs. GridGain vs. Hive vs. JaguarDB vs. Quasardb

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonGridGain  Xexclude from comparisonHive  Xexclude from comparisonJaguarDB  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionJavaScript DBMS libraryGridGain is an in-memory computing platform, built on Apache Ignitedata warehouse software for querying and managing large distributed datasets, built on HadoopPerformant, highly scalable DBMS for AI and IoT applicationsDistributed, high-performance timeseries database
Primary database modelDocument store
Relational DBMS
Key-value store
Relational DBMS
Relational DBMSKey-value store
Vector DBMS
Time Series 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
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitealasql.orgwww.gridgain.comhive.apache.orgwww.jaguardb.comquasar.ai
Technical documentationgithub.com/­AlaSQL/­alasqlwww.gridgain.com/­docs/­index.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homewww.jaguardb.com/­support.htmldoc.quasar.ai/­master
DeveloperAndrey Gershun & Mathias R. WulffGridGain Systems, Inc.Apache Software Foundation infoinitially developed by FacebookDataJaguar, Inc.quasardb
Initial release20142007201220152009
Current releaseGridGain 8.5.13.1.3, April 20223.3 July 20233.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoApache Version 2Open Source infoGPL V3.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJava, C++, .NetJavaC++ infothe server part. Clients available in other languagesC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Solaris
Windows
All OS with a Java VMLinuxBSD
Linux
OS X
Windows
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesyes infointeger and binary
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.noyesnono
Secondary indexesnoyesyesyesyes infowith tags
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.ANSI-99 for query and DML statements, subset of DDLSQL-like DML and DDL statementsA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like query language
APIs and other access methodsJavaScript APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Thrift
JDBC
ODBC
HTTP API
Supported programming languagesJavaScriptC#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
PHP
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yes infouser defined functions and integration of map-reducenono
Triggersyesyes (cache interceptors and events)nonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes (replicated cache)selectable replication factorMulti-source replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)yes infoquery execution via MapReducenowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes infoTransient mode
User concepts infoAccess controlnoSecurity Hooks for custom implementationsAccess rights for users, groups and rolesrights management via user accountsCryptographically strong user authentication and audit trail

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More resources
AlaSQLGridGainHiveJaguarDBQuasardb
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