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DBMS > Apache IoTDB vs. Heroic vs. MonetDB vs. NCache

System Properties Comparison Apache IoTDB vs. Heroic vs. MonetDB vs. NCache

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonHeroic  Xexclude from comparisonMonetDB  Xexclude from comparisonNCache  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA relational database management system that stores data in columnsOpen-Source and Enterprise in-memory Key-Value Store
Primary database modelTime Series DBMSTime Series DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
Document store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score0.96
Rank#195  Overall
#29  Key-value stores
Websiteiotdb.apache.orggithub.com/­spotify/­heroicwww.monetdb.orgwww.alachisoft.com/­ncache
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlspotify.github.io/­heroicwww.monetdb.org/­Documentationwww.alachisoft.com/­resources/­docs
DeveloperApache Software FoundationSpotifyMonetDB BVAlachisoft
Initial release2018201420042005
Current release1.1.0, April 2023Dec2023 (11.49), December 20235.3.3, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoMozilla Public License 2.0Open Source infoEnterprise Edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaCC#, .NET, .NET Core, Java
Server operating systemsAll OS with a Java VM (>= 1.8)FreeBSD
Linux
OS X
Solaris
Windows
Linux
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyespartial 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.nonono
Secondary indexesyesyes infovia Elasticsearchyesyes
SQL infoSupport of SQLSQL-like query languagenoyes infoSQL 2003 with some extensionsSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.
APIs and other access methodsJDBC
Native API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
IDistributedCache
JCache
LINQ
Proprietary native API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyesnoyes, in SQL, C, Rno infosupport for stored procedures with SQL-Server CLR
Triggersyesnoyesyes infoNotifications
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingSharding via remote tablesyes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesnone infoSource-replica replication available in experimental statusyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDoptimistic locking and pessimistic locking
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.yesnoyes
User concepts infoAccess controlyesfine 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
Apache IoTDBHeroicMonetDBNCache
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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Apache IoTDBHeroicMonetDBNCache
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