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DBMS > GridGain vs. JaguarDB vs. Lovefield vs. Newts vs. Quasardb

System Properties Comparison GridGain vs. JaguarDB vs. Lovefield vs. Newts vs. Quasardb

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonJaguarDB  Xexclude from comparisonLovefield  Xexclude from comparisonNewts  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgnitePerformant, highly scalable DBMS for AI and IoT applicationsEmbeddable relational database for web apps written in pure JavaScriptTime Series DBMS based on CassandraDistributed, high-performance timeseries database
Primary database modelKey-value store
Relational DBMS
Key-value store
Vector DBMS
Relational DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitewww.gridgain.comwww.jaguardb.comgoogle.github.io/­lovefieldopennms.github.io/­newtsquasar.ai
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.jaguardb.com/­support.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdgithub.com/­OpenNMS/­newts/­wikidoc.quasar.ai/­master
DeveloperGridGain Systems, Inc.DataJaguar, Inc.GoogleOpenNMS Groupquasardb
Initial release20072015201420142009
Current releaseGridGain 8.5.13.3 July 20232.1.12, February 20173.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0Open Source infoApache 2.0Open Source infoApache 2.0commercial 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++, .NetC++ infothe server part. Clients available in other languagesJavaScriptJavaC++
Server operating systemsLinux
OS X
Solaris
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemeyesyesyesschema-freeschema-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.yesnononono
Secondary indexesyesyesyesnoyes infowith tags
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like query language infovia JavaScript builder patternnoSQL-like query language
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
HTTP REST
Java API
HTTP API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
JavaScriptJava.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nononono
Triggersyes (cache interceptors and events)noUsing read-only observersnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infobased on CassandraSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Multi-source replicationnoneselectable replication factor infobased on CassandraSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infousing MemoryDBnoyes infoTransient mode
User concepts infoAccess controlSecurity Hooks for custom implementationsrights management via user accountsnonoCryptographically strong user authentication and audit trail

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More resources
GridGainJaguarDBLovefieldNewtsQuasardb
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