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DBMS > Apache Phoenix vs. DataFS vs. Stardog vs. TDengine

System Properties Comparison Apache Phoenix vs. DataFS vs. Stardog vs. TDengine

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonDataFS  Xexclude from comparisonStardog  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationTime Series DBMS and big data platform
Primary database modelRelational DBMSObject oriented DBMSGraph DBMS
RDF store
Time Series DBMS
Secondary database modelsGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitephoenix.apache.orgnewdatabase.comwww.stardog.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationphoenix.apache.orgdev.mobiland.com/­Overview.xspdocs.stardog.comdocs.tdengine.com
DeveloperApache Software FoundationMobiland AGStardog-UnionTDEngine, previously Taos Data
Initial release2014201820102019
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.1.263, October 20227.3.0, May 20203.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC
Server operating systemsLinux
Unix
Windows
WindowsLinux
macOS
Windows
Linux
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 infoImport/export of XML data possibleno
Secondary indexesyesnoyes infosupports real-time indexing in full-text and geospatialno
SQL infoSupport of SQLyesnoYes, compatible with all major SQL variants through dedicated BI/SQL ServerStandard SQL with extensions for time-series applications
APIs and other access methodsJDBC.NET Client API
Proprietary client DLL
WinRT client
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
JDBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C#
C++
VB.Net
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresuser defined functionsuser defined functions and aggregates, HTTP Server extensions in Javano
Triggersnono, except callback-events from server when changes happenedyes infovia event handlersyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingProprietary Sharding systemnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication in HA-Clusteryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyesyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
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 controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyWindows-ProfileAccess rights for users and rolesyes
More information provided by the system vendor
Apache PhoenixDataFSStardogTDengine
Specific characteristicsTDengineā„¢ 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
Apache PhoenixDataFSStardogTDengine
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