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DBMS > Databricks vs. jBASE vs. NCache vs. NSDb

System Properties Comparison Databricks vs. jBASE vs. NCache vs. NSDb

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonjBASE  Xexclude from comparisonNCache  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A 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 Kubernetes
Primary database modelDocument store
Relational DBMS
Multivalue 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
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score0.94
Rank#195  Overall
#29  Key-value stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitewww.databricks.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.alachisoft.com/­ncachensdb.io
Technical documentationdocs.databricks.comdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9www.alachisoft.com/­resources/­docsnsdb.io/­Architecture
DeveloperDatabricksRocket Software (formerly Zumasys)Alachisoft
Initial release2013199120052017
Current release5.75.3.3, April 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoEnterprise Edition availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#, .NET, .NET Core, JavaJava, Scala
Server operating systemshostedAIX
Linux
Windows
Linux
Windows
Linux
macOS
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free
Typing infopredefined data types such as float or dateoptionalpartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryes: int, bigint, decimal, string
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.yesyesnono
Secondary indexesyesyesall fields are automatically indexed
SQL infoSupport of SQLwith Databricks 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 language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
IDistributedCache
JCache
LINQ
Proprietary native API
gRPC
HTTP REST
WebSocket
Supported programming languagesPython
R
Scala
.Net
Basic
Jabbascript
Java
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Java
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesno infosupport for stored procedures with SQL-Server CLRno
Triggersyesyes infoNotifications
Partitioning methods infoMethods for storing different data on different nodesShardingyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Eventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic locking and pessimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
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)
More information provided by the system vendor
DatabricksjBASENCacheNSDb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
NCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
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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
DatabricksjBASENCacheNSDb
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