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DBMS > 4D vs. Apache Druid vs. Microsoft Azure Cosmos DB vs. NCache vs. TimesTen

System Properties Comparison 4D vs. Apache Druid vs. Microsoft Azure Cosmos DB vs. NCache vs. TimesTen

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache Druid  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonNCache  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataGlobally distributed, horizontally scalable, multi-model database serviceOpen-Source and Enterprise in-memory Key-Value StoreIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Document store
Graph DBMS
Key-value store
Wide column store
Key-value storeRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.68
Rank#110  Overall
#54  Relational DBMS
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score29.85
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.98
Rank#196  Overall
#29  Key-value stores
Score1.35
Rank#165  Overall
#75  Relational DBMS
Websitewww.4d.comdruid.apache.orgazure.microsoft.com/­services/­cosmos-dbwww.alachisoft.com/­ncachewww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdeveloper.4d.comdruid.apache.org/­docs/­latest/­designlearn.microsoft.com/­azure/­cosmos-dbwww.alachisoft.com/­resources/­docsdocs.oracle.com/­database/­timesten-18.1
Developer4D, IncApache Software Foundation and contributorsMicrosoftAlachisoftOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release19842012201420051998
Current releasev20, April 202329.0.1, April 20245.3, September 202211 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercialOpen Source infoEnterprise Edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC#, .NET, .NET Core, Java
Server operating systemsOS X
Windows
Linux
OS X
Unix
hostedLinux
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyes infoschema-less columns are supportedschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infoJSON typespartial 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.yesnonono
Secondary indexesyesyesyes infoAll properties auto-indexed by defaultyesyes
SQL infoSupport of SQLyes infoclose to SQL 92SQL for queryingSQL-like query languageSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.yes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
RESTful HTTP/JSON API
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
IDistributedCache
JCache
LINQ
Proprietary native API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages4D proprietary IDE
PHP
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesnoJavaScriptno infosupport for stored procedures with SQL-Server CLRPL/SQL
TriggersyesnoJavaScriptyes infoNotificationsno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infomanual/auto, time-basedSharding infoImplicit feature of the cloud serviceyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes, via HDFS, S3 or other storage enginesyes infoImplicit feature of the cloud serviceyes, with selectable consistency levelMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoMulti-item ACID transactions with snapshot isolation within a partitionoptimistic locking and pessimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlUsers and groupsRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights can be defined down to the item levelAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)fine grained access rights according to SQL-standard
More information provided by the system vendor
4D infoformer name: 4th DimensionApache DruidMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBNCacheTimesTen
Specific characteristicsNCache 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 ,...
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Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
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Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
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Market metricsMarket Leader in .NET Distributed Caching since 2005.
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Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
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More resources
4D infoformer name: 4th DimensionApache DruidMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBNCacheTimesTen
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