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DBMS > Blueflood vs. Microsoft Azure Table Storage vs. NCache vs. Stardog

System Properties Comparison Blueflood vs. Microsoft Azure Table Storage vs. NCache vs. Stardog

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonNCache  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraA Wide Column Store for rapid development using massive semi-structured datasetsOpen-Source and Enterprise in-memory Key-Value StoreEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelTime Series DBMSWide column storeKey-value storeGraph 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
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.96
Rank#195  Overall
#29  Key-value stores
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websiteblueflood.ioazure.microsoft.com/­en-us/­services/­storage/­tableswww.alachisoft.com/­ncachewww.stardog.com
Technical documentationgithub.com/­rax-maas/­blueflood/­wikiwww.alachisoft.com/­resources/­docsdocs.stardog.com
DeveloperRackspaceMicrosoftAlachisoftStardog-Union
Initial release2013201220052010
Current release5.3.3, April 20247.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoEnterprise Edition availablecommercial 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 servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#, .NET, .NET Core, JavaJava
Server operating systemsLinux
OS X
hostedLinux
Windows
Linux
macOS
Windows
Data schemepredefined schemeschema-freeschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryes
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.nononono infoImport/export of XML data possible
Secondary indexesnonoyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnonoSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.Yes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsHTTP RESTRESTful HTTP APIIDistributedCache
JCache
LINQ
Proprietary native API
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 languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnonono infosupport for stored procedures with SQL-Server CLRuser defined functions and aggregates, HTTP Server extensions in Java
Triggersnonoyes infoNotificationsyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding infoImplicit feature of the cloud serviceyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes, with selectable consistency levelMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Immediate Consistency in HA-Cluster
Foreign keys infoReferential integritynononoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingoptimistic locking and pessimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlnoAccess rights based on private key authentication or shared access signaturesAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)Access rights for users and roles
More information provided by the system vendor
BluefloodMicrosoft Azure Table StorageNCacheStardog
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
BluefloodMicrosoft Azure Table StorageNCacheStardog
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