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DBMS > Heroic vs. IBM Cloudant vs. Kingbase vs. Splice Machine vs. TDengine

System Properties Comparison Heroic vs. IBM Cloudant vs. Kingbase vs. Splice Machine vs. TDengine

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonKingbase  Xexclude from comparisonSplice Machine  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchDatabase as a Service offering based on Apache CouchDBAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkTime Series DBMS and big data platform
Primary database modelTime Series DBMSDocument storeRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score2.68
Rank#106  Overall
#20  Document stores
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitegithub.com/­spotify/­heroicwww.ibm.com/­products/­cloudantwww.kingbase.com.cnsplicemachine.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationspotify.github.io/­heroiccloud.ibm.com/­docs/­Cloudantsplicemachine.com/­how-it-worksdocs.tdengine.com
DeveloperSpotifyIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014BeiJing KINGBASE Information technologies inc.Splice MachineTDEngine, previously Taos Data
Initial release20142010199920142019
Current releaseV8.0, August 20213.1, March 20213.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoAGPL 3.0, commercial license availableOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaErlangC and JavaJavaC
Server operating systemshostedLinux
Windows
Linux
OS X
Solaris
Windows
Linux
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonoyesno
Secondary indexesyes infovia Elasticsearchyesyesyesno
SQL infoSupport of SQLnonoStandard with numerous extensionsyesStandard SQL with extensions for time-series applications
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
RESTful HTTP/JSON APIADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
JDBC
Native Spark Datasource
ODBC
JDBC
RESTful HTTP API
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnoView functions (Map-Reduce) in JavaScriptuser defined functionsyes infoJavano
Triggersnoyesyesyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning (by range, list and hash) and vertical partitioningShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
yesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a document possibleACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardyes
More information provided by the system vendor
HeroicIBM CloudantKingbaseSplice MachineTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
News

Seamless Data Integration from MQTT and InfluxDB to TDengine
22 May 2024

Solving Long Query Performance Bottlenecks
22 May 2024

What Is Predictive Maintenance?
17 May 2024

Can Typical Time-Series Databases Replace Data Historians?
8 May 2024

TDengine 3.3.0.0 Release Notes
7 May 2024

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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
HeroicIBM CloudantKingbaseSplice MachineTDengine
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