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DBMS > Badger vs. GigaSpaces vs. JaguarDB vs. NCache

System Properties Comparison Badger vs. GigaSpaces vs. JaguarDB vs. NCache

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGigaSpaces  Xexclude from comparisonJaguarDB  Xexclude from comparisonNCache  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsPerformant, highly scalable DBMS for AI and IoT applicationsOpen-Source and Enterprise in-memory Key-Value Store
Primary database modelKey-value storeDocument store
Object oriented DBMS infoValues are user defined objects
Key-value store
Vector DBMS
Key-value store
Secondary database modelsGraph DBMS
Search engine
Document store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#328  Overall
#48  Key-value stores
Score0.91
Rank#197  Overall
#33  Document stores
#7  Object oriented DBMS
Score0.00
Rank#385  Overall
#61  Key-value stores
#16  Vector DBMS
Score0.91
Rank#196  Overall
#29  Key-value stores
Websitegithub.com/­dgraph-io/­badgerwww.gigaspaces.comwww.jaguardb.comwww.alachisoft.com/­ncache
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.gigaspaces.com/­latest/­landing.htmlwww.jaguardb.com/­support.htmlwww.alachisoft.com/­resources/­docs
DeveloperDGraph LabsGigaspaces TechnologiesDataJaguar, Inc.Alachisoft
Initial release2017200020152005
Current release15.5, September 20203.3 July 20235.3.3, April 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; Commercial licenses availableOpen Source infoGPL V3.0Open Source infoEnterprise Edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava, C++, .NetC++ infothe server part. Clients available in other languagesC#, .NET, .NET Core, Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Solaris
Windows
LinuxLinux
Windows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counter
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 infoXML can be used for describing objects metadatanono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-99 for query and DML statementsA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
IDistributedCache
JCache
LINQ
Proprietary native API
Supported programming languagesGo.Net
C++
Java
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoyesnono infosupport for stored procedures with SQL-Server CLR
Triggersnoyes, event driven architecturenoyes infoNotifications
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replicationyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnooptimistic locking and pessimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlnoRole-based access controlrights management via user accountsAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)
More information provided by the system vendor
BadgerGigaSpacesJaguarDBNCache
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more

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BadgerGigaSpacesJaguarDBNCache
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