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DBMS > FeatureBase vs. NCache vs. Netezza vs. Stardog

System Properties Comparison FeatureBase vs. NCache vs. Netezza vs. Stardog

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonNCache  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Open-Source and Enterprise in-memory Key-Value StoreData warehouse and analytics appliance part of IBM PureSystemsEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMSKey-value storeRelational DBMSGraph DBMS
RDF store
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score0.94
Rank#195  Overall
#29  Key-value stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.featurebase.comwww.alachisoft.com/­ncachewww.ibm.com/­products/­netezzawww.stardog.com
Technical documentationdocs.featurebase.comwww.alachisoft.com/­resources/­docsdocs.stardog.com
DeveloperMolecula and Pilosa Open Source ContributorsAlachisoftIBMStardog-Union
Initial release2017200520002010
Current release2022, May 20225.3.3, April 20247.3.0, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoEnterprise Edition availablecommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC#, .NET, .NET Core, JavaJava
Server operating systemsLinux
macOS
Linux
Windows
Linux infoincluded in applianceLinux
macOS
Windows
Data schemeyesschema-freeyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryesyes
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.nonono infoImport/export of XML data possible
Secondary indexesnoyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSQL queriesSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.yesYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
IDistributedCache
JCache
LINQ
Proprietary native API
JDBC
ODBC
OLE DB
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesJava
Python
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresno infosupport for stored procedures with SQL-Server CLRyesuser defined functions and aggregates, HTTP Server extensions in Java
Triggersnoyes infoNotificationsnoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingyesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, with selectable consistency levelSource-replica replicationMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Immediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyesnonoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesoptimistic locking and pessimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)Users with fine-grained authorization conceptAccess rights for users and roles
More information provided by the system vendor
FeatureBaseNCacheNetezza infoAlso called PureData System for Analytics by IBMStardog
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
FeatureBaseNCacheNetezza infoAlso called PureData System for Analytics by IBMStardog
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