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DBMS > Hazelcast vs. Stardog vs. TDengine vs. Yanza

System Properties Comparison Hazelcast vs. Stardog vs. TDengine vs. Yanza

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonStardog  Xexclude from comparisonTDengine  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA widely adopted in-memory data gridEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationTime Series DBMS and big data platformTime Series DBMS for IoT Applications
Primary database modelKey-value storeGraph DBMS
RDF store
Time Series DBMSTime Series DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.97
Rank#57  Overall
#6  Key-value stores
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitehazelcast.comwww.stardog.comgithub.com/­taosdata/­TDengine
tdengine.com
yanza.com
Technical documentationhazelcast.org/­imdg/­docsdocs.stardog.comdocs.tdengine.com
DeveloperHazelcastStardog-UnionTDEngine, previously Taos DataYanza
Initial release2008201020192015
Current release5.3.6, November 20237.3.0, May 20203.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoAGPL V3, also commercial editions availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC
Server operating systemsAll OS with a Java VMLinux
macOS
Windows
Linux
Windows
Windows
Data schemeschema-freeschema-free and OWL/RDFS-schema supportyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.yes infothe object must implement a serialization strategyno infoImport/export of XML data possiblenono
Secondary indexesyesyes infosupports real-time indexing in full-text and geospatialnono
SQL infoSupport of SQLSQL-like query languageYes, compatible with all major SQL variants through dedicated BI/SQL ServerStandard SQL with extensions for time-series applicationsno
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
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
HTTP API
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
any language that supports HTTP calls
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesuser defined functions and aggregates, HTTP Server extensions in Javanono
Triggersyes infoEventsyes infovia event handlersyes, via alarm monitoringyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapMulti-source replication in HA-Clusteryesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedACIDno
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.yesyes
User concepts infoAccess controlRole-based access controlAccess rights for users and rolesyesno
More information provided by the system vendor
HazelcastStardogTDengineYanza
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
News

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22 May 2024

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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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More resources
HazelcastStardogTDengineYanza
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