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DBMS > Badger vs. HugeGraph vs. PouchDB vs. TDengine

System Properties Comparison Badger vs. HugeGraph vs. PouchDB vs. TDengine

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonHugeGraph  Xexclude from comparisonPouchDB  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A fast-speed and highly-scalable Graph DBMSJavaScript DBMS with an API inspired by CouchDBTime Series DBMS and big data platform
Primary database modelKey-value storeGraph DBMSDocument storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgergithub.com/­hugegraph
hugegraph.apache.org
pouchdb.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerhugegraph.apache.org/­docspouchdb.com/­guidesdocs.tdengine.com
DeveloperDGraph LabsBaiduApache Software FoundationTDEngine, previously Taos Data
Initial release2017201820122019
Current release0.97.1.1, June 20193.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open SourceOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaJavaScriptC
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Unix
server-less, requires a JavaScript environment (browser, Node.js)Linux
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesnoyes
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.nononono
Secondary indexesnoyes infoalso supports composite index and range indexyes infovia viewsno
SQL infoSupport of SQLnononoStandard SQL with extensions for time-series applications
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
HTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
RESTful HTTP API
Supported programming languagesGoGroovy
Java
Python
JavaScriptC
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsView functions in JavaScriptno
Triggersnonoyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparkyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoUsers, roles and permissionsnoyes
More information provided by the system vendor
BadgerHugeGraphPouchDBTDengine
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
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