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DBMS > Apache Cassandra vs. Apache IoTDB vs. NCache

System Properties Comparison Apache Cassandra vs. Apache IoTDB vs. NCache

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Editorial information provided by DB-Engines
NameApache Cassandra  Xexclude from comparisonApache IoTDB  Xexclude from comparisonNCache  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkOpen-Source and Enterprise in-memory Key-Value Store
Primary database modelWide column storeTime Series DBMSKey-value store
Secondary database modelsVector DBMS infostarting with release V5Document store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score108.21
Rank#11  Overall
#1  Wide column stores
Score1.40
Rank#148  Overall
#14  Time Series DBMS
Score0.84
Rank#201  Overall
#30  Key-value stores
Websitecassandra.apache.orgiotdb.apache.orgwww.alachisoft.com/­ncache
Technical documentationcassandra.apache.org/­doc/­latestiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.alachisoft.com/­resources/­docs
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookApache Software FoundationAlachisoft
Initial release200820182005
Current release5.0-rc1, July 20241.1.0, April 20235.3.3, April 2024
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2.0Open Source infoEnterprise Edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC#, .NET, .NET Core, Java
Server operating systemsBSD
Linux
OS X
Windows
All OS with a Java VM (>= 1.8)Linux
Windows
Data schemeschema-freeyesschema-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.nonono
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionyesyes
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)SQL-like query languageSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
JDBC
Native API
IDistributedCache
JCache
LINQ
Proprietary native API
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C
C#
C++
Go
Java
Python
Scala
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoyesno infosupport for stored procedures with SQL-Server CLR
Triggersyesyesyes infoNotifications
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"horizontal partitioning (by time range) + vertical partitioning (by deviceId)yes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesIntegration with Hadoop and Sparkyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual Consistency
Strong Consistency with Raft
Eventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnooptimistic 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.noyesyes
User concepts infoAccess controlAccess rights for users can be defined per objectyesAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)
More information provided by the system vendor
Apache CassandraApache IoTDBNCache
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