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DBMS > GigaSpaces vs. NCache vs. NSDb vs. Prometheus

System Properties Comparison GigaSpaces vs. NCache vs. NSDb vs. Prometheus

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonNCache  Xexclude from comparisonNSDb  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsOpen-Source and Enterprise in-memory Key-Value StoreScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesOpen-source Time Series DBMS and monitoring system
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Key-value storeTime Series DBMSTime Series DBMS
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
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.96
Rank#195  Overall
#29  Key-value stores
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitewww.gigaspaces.comwww.alachisoft.com/­ncachensdb.ioprometheus.io
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlwww.alachisoft.com/­resources/­docsnsdb.io/­Architectureprometheus.io/­docs
DeveloperGigaspaces TechnologiesAlachisoft
Initial release2000200520172015
Current release15.5, September 20205.3.3, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoEnterprise Edition availableOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC#, .NET, .NET Core, JavaJava, ScalaGo
Server operating systemsLinux
macOS
Solaris
Windows
Linux
Windows
Linux
macOS
Linux
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryes: int, bigint, decimal, stringNumeric data only
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.no infoXML can be used for describing objects metadatanonono infoImport of XML data possible
Secondary indexesyesyesall fields are automatically indexedno
SQL infoSupport of SQLSQL-99 for query and DML statementsSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.SQL-like query languageno
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
IDistributedCache
JCache
LINQ
Proprietary native API
gRPC
HTTP REST
WebSocket
RESTful HTTP/JSON API
Supported programming languages.Net
C++
Java
Python
Scala
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Java
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyesno infosupport for stored procedures with SQL-Server CLRnono
Triggersyes, event driven architectureyes infoNotificationsno
Partitioning methods infoMethods for storing different data on different nodesShardingyesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes, with selectable consistency levelyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Eventual Consistencynone
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic locking and pessimistic lockingnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlRole-based access controlAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)no
More information provided by the system vendor
GigaSpacesNCacheNSDbPrometheus
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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GigaSpacesNCacheNSDbPrometheus
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