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DBMS > Badger vs. GigaSpaces vs. Interbase vs. NCache

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

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGigaSpaces  Xexclude from comparisonInterbase  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 TransactionsLight-weight proven RDBMS infooriginally from BorlandOpen-Source and Enterprise in-memory Key-Value Store
Primary database modelKey-value storeDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSKey-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
Score0.22
Rank#320  Overall
#47  Key-value stores
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score0.96
Rank#195  Overall
#29  Key-value stores
Websitegithub.com/­dgraph-io/­badgerwww.gigaspaces.comwww.embarcadero.com/­products/­interbasewww.alachisoft.com/­ncache
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.gigaspaces.com/­latest/­landing.htmldocs.embarcadero.com/­products/­interbasewww.alachisoft.com/­resources/­docs
DeveloperDGraph LabsGigaspaces TechnologiesEmbarcaderoAlachisoft
Initial release2017200019842005
Current release15.5, September 2020InterBase 2020, December 20195.3.3, April 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; Commercial licenses availablecommercialOpen 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++, .NetCC#, .NET, .NET Core, Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Solaris
Windows
Android
iOS
Linux
OS X
Windows
Linux
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 metadatano infoexport as XML data possibleno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-99 for query and DML statementsyesSQL-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
ADO.NET
JDBC
ODBC
IDistributedCache
JCache
LINQ
Proprietary native API
Supported programming languagesGo.Net
C++
Java
Python
Scala
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoyesyes infoInterbase procedure and trigger languageno infosupport for stored procedures with SQL-Server CLR
Triggersnoyes, event driven architectureyesyes infoNotifications
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Interbase Change Viewsyes, 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, ANYImmediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDoptimistic locking and pessimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyes
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.noyesyesyes
User concepts infoAccess controlnoRole-based access controlfine grained access rights according to SQL-standardAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)
More information provided by the system vendor
BadgerGigaSpacesInterbaseNCache
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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BadgerGigaSpacesInterbaseNCache
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