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DBMS > HugeGraph vs. IBM Cloudant vs. Immudb vs. Kinetica vs. TDengine

System Properties Comparison HugeGraph vs. IBM Cloudant vs. Immudb vs. Kinetica vs. TDengine

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonImmudb  Xexclude from comparisonKinetica  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSDatabase as a Service offering based on Apache CouchDBAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Fully vectorized database across both GPUs and CPUsTime Series DBMS and big data platform
Primary database modelGraph DBMSDocument storeKey-value storeRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMSSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score2.68
Rank#106  Overall
#20  Document stores
Score0.24
Rank#305  Overall
#43  Key-value stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.ibm.com/­products/­cloudantgithub.com/­codenotary/­immudb
immudb.io
www.kinetica.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationhugegraph.apache.org/­docscloud.ibm.com/­docs/­Cloudantdocs.immudb.iodocs.kinetica.comdocs.tdengine.com
DeveloperBaiduIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014CodenotaryKineticaTDEngine, previously Taos Data
Initial release20182010202020122019
Current release0.91.2.3, April 20227.1, August 20213.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0commercialOpen 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 languageJavaErlangGoC, C++C
Server operating systemsLinux
macOS
Unix
hostedBSD
Linux
macOS
Solaris
Windows
z/OS
LinuxLinux
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonononono
Secondary indexesyes infoalso supports composite index and range indexyesyesyesno
SQL infoSupport of SQLnonoSQL-like syntaxSQL-like DML and DDL statementsStandard SQL with extensions for time-series applications
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP/JSON APIgRPC protocol
PostgreSQL wire protocol
JDBC
ODBC
RESTful HTTP API
JDBC
RESTful HTTP API
Supported programming languagesGroovy
Java
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsView functions (Map-Reduce) in JavaScriptnouser defined functionsno
Triggersnoyesnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication
Source-replica replication
Source-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparkyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoedges in graphnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a document possibleACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyesyes
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.yesnonoyes infoGPU vRAM or System RAM
User concepts infoAccess controlUsers, roles and permissionsAccess rights for users can be defined per databaseAccess rights for users and roles on table levelyes
More information provided by the system vendor
HugeGraphIBM CloudantImmudbKineticaTDengine
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
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More resources
HugeGraphIBM CloudantImmudbKineticaTDengine
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