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DBMS > jBASE vs. NCache vs. NSDb vs. SwayDB vs. VictoriaMetrics

System Properties Comparison jBASE vs. NCache vs. NSDb vs. SwayDB vs. VictoriaMetrics

Editorial information provided by DB-Engines
NamejBASE  Xexclude from comparisonNCache  Xexclude from comparisonNSDb  Xexclude from comparisonSwayDB  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionA robust multi-value DBMS comprising development tools and middlewareOpen-Source and Enterprise in-memory Key-Value StoreScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelMultivalue DBMSKey-value storeTime Series DBMSKey-value storeTime Series DBMS
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.43
Rank#160  Overall
#3  Multivalue DBMS
Score0.98
Rank#196  Overall
#29  Key-value stores
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Score0.04
Rank#373  Overall
#57  Key-value stores
Score1.42
Rank#161  Overall
#14  Time Series DBMS
Websitewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.alachisoft.com/­ncachensdb.ioswaydb.simer.auvictoriametrics.com
Technical documentationdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9www.alachisoft.com/­resources/­docsnsdb.io/­Architecturedocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperRocket Software (formerly Zumasys)AlachisoftSimer PlahaVictoriaMetrics
Initial release19912005201720182018
Current release5.75.3.3, April 2024v1.91, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoEnterprise Edition availableOpen Source infoApache Version 2.0Open Source infoGNU Affero GPL V3.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#, .NET, .NET Core, JavaJava, ScalaScalaGo
Server operating systemsAIX
Linux
Windows
Linux
Windows
Linux
macOS
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateoptionalpartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryes: int, bigint, decimal, stringno
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 indexesyesall fields are automatically indexedno
SQL infoSupport of SQLEmbedded SQL for jBASE in BASICSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.SQL-like query languagenono
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
IDistributedCache
JCache
LINQ
Proprietary native API
gRPC
HTTP REST
WebSocket
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languages.Net
Basic
Jabbascript
Java
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Java
Scala
Java
Kotlin
Scala
Server-side scripts infoStored proceduresyesno infosupport for stored procedures with SQL-Server CLRnonono
Triggersyesyes infoNotificationsnono
Partitioning methods infoMethods for storing different data on different nodesShardingyesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, with selectable consistency levelnoneSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Eventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic locking and pessimistic lockingnoAtomic execution of operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlAccess rights can be defined down to the item levelAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)no
More information provided by the system vendor
jBASENCacheNSDbSwayDBVictoriaMetrics
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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More resources
jBASENCacheNSDbSwayDBVictoriaMetrics
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