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

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

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonGridGain  Xexclude from comparisonHive  Xexclude from comparisonJaguarDB  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesGridGain 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 modelRelational DBMS infoa hierachical model (tree) can be imposedKey-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
Score0.13
Rank#333  Overall
#147  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
Websitebigobject.iowww.gridgain.comhive.apache.orgwww.jaguardb.comquasar.ai
Technical documentationdocs.bigobject.iowww.gridgain.com/­docs/­index.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homewww.jaguardb.com/­support.htmldoc.quasar.ai/­master
DeveloperBigObject, Inc.GridGain Systems, Inc.Apache Software Foundation infoinitially developed by FacebookDataJaguar, Inc.quasardb
Initial release20152007201220152009
Current releaseGridGain 8.5.13.1.3, April 20223.3 July 20233.14.1, January 2024
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen 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 languageJava, C++, .NetJavaC++ infothe server part. Clients available in other languagesC++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
OS X
Solaris
Windows
All OS with a Java VMLinuxBSD
Linux
OS X
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes 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 indexesyesyesyesyesyes infowith tags
SQL infoSupport of SQLSQL-like DML and DDL statementsANSI-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 methodsfluentd
ODBC
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Thrift
JDBC
ODBC
HTTP API
Supported programming languagesC#
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 proceduresLuayes (compute grid and cache interceptors can be used instead)yes infouser defined functions and integration of map-reducenono
Triggersnoyes (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 integrityyes infoautomatically between fact table and dimension tablesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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
BigObjectGridGainHiveJaguarDBQuasardb
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