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DBMS > Kinetica vs. Microsoft SQL Server vs. NCache

System Properties Comparison Kinetica vs. Microsoft SQL Server vs. NCache

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonNCache  Xexclude from comparison
DescriptionGPU-accelerated database for real-time analysis of large and streaming datasetsMicrosofts flagship relational DBMSNCache is a 100% .NET / .NET Core Open Source in-memory distributed cache.
Primary database modelRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#192  Overall
#96  Relational DBMS
Score1007.97
Rank#3  Overall
#3  Relational DBMS
Score0.92
Rank#178  Overall
#30  Key-value stores
Websitewww.kinetica.comwww.microsoft.com/­en-us/­sql-serverwww.alachisoft.com/­ncache
Technical documentationwww.kinetica.com/­docsdocs.microsoft.com/­en-US/­sql/­sql-serverwww.alachisoft.com/­resources/­docs
DeveloperKineticaMicrosoftAlachisoft
Initial release201219892005
Current release6.0SQL Server 2019, November 20195.1, November 2020
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Source infoEnterprise Edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++C#, .NET, .NET Core
Server operating systemsLinuxLinux
Windows
Linux
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyespartial 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.noyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
IDistributedCache
JCache
LINQ
Proprietary native API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
.Net Core
C#
Java
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functionsTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano infosupport for stored procedures with SQL-Server CLR
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes infoNotifications
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes, but depending on the SQL-Server Editionyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic locking and pessimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlAccess rights for users and roles on table levelfine 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
KineticaMicrosoft SQL ServerNCache
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
News

Monitor NCache Using Prometheus and Grafana
8 April 2021

Migrating Smoothly from Redis to NCache
25 January 2021

Try NCache Live without Download and Setup
22 January 2021

Create Read Intensive Applications using NCache
28 December 2020

Remote Monitoring of Cache Clusters with NCache
21 December 2020

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
KineticaMicrosoft SQL ServerNCache
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Recent citations in the news

GPU Database Market 2021 Industry Size, Share, Growth and Top Companies Analysis | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox. Moreover, the other prospective players in the GPU database market are HeteroDB, H2O.ai, FASTDATA.io, Fuzzy Logix, and Anaconda.
16 April 2021, SoccerNurds

Global GPU Database Market Size, Growth Factors: Latest Study Focuses On Current And Future Innovations
14 April 2021, The Courier

GPU Database Market is Expected to Show a Significant Growth During the Forecast Period 2021 – 2027 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox. Moreover, the other prospective players in the GPU database market are HeteroDB, H2O.ai, FASTDATA.io, Fuzzy Logix, and Anaconda.
16 April 2021, SoccerNurds

GPU Database: Market 2021 also Industry is Booming Worldwide with Key Players | Neo4j, Brytlyt, Blazegraph, HeteroDB – SoccerNurds
16 April 2021, SoccerNurds

GPU Database Market Size 2021, by Leading Players: Graphistry, NVIDIA, SQream, Brytlyt, BlazingDB, Neo4j, Jedox, Zilliz, HeteroDB, Kinetica, Blazegraph, Anaconda, Fuzzy Logix, OmniSci, – SoccerNurds
13 April 2021, SoccerNurds

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