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DBMS > PouchDB vs. Realm vs. RocksDB vs. TDengine

System Properties Comparison PouchDB vs. Realm vs. RocksDB vs. TDengine

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Editorial information provided by DB-Engines
NamePouchDB  Xexclude from comparisonRealm  Xexclude from comparisonRocksDB  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionJavaScript DBMS with an API inspired by CouchDBA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Time Series DBMS and big data platform
Primary database modelDocument storeDocument storeKey-value storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#115  Overall
#21  Document stores
Score7.60
Rank#52  Overall
#9  Document stores
Score3.65
Rank#85  Overall
#11  Key-value stores
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitepouchdb.comrealm.iorocksdb.orggithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationpouchdb.com/­guidesrealm.io/­docsgithub.com/­facebook/­rocksdb/­wikidocs.tdengine.com
DeveloperApache Software FoundationRealm, acquired by MongoDB in May 2019Facebook, Inc.TDEngine, previously Taos Data
Initial release2012201420132019
Current release7.1.1, June 20198.11.4, April 20243.0, August 2022
License infoCommercial or Open SourceOpen SourceOpen SourceOpen Source infoBSDOpen 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 languageJavaScriptC++C
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Android
Backend: server-less
iOS
Windows
LinuxLinux
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 indexesyes infovia viewsyesnono
SQL infoSupport of SQLnononoStandard SQL with extensions for time-series applications
APIs and other access methodsHTTP REST infoonly for PouchDB Server
JavaScript API
C++ API
Java API
JDBC
RESTful HTTP API
Supported programming languagesJavaScript.Net
Java infowith Android only
Objective-C
React Native
Swift
C
C++
Go
Java
Perl
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresView functions in JavaScriptno inforuns within the applications so server-side scripts are unnecessarynono
Triggersyesyes infoChange Listenersyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesSharding infowith a proxy-based framework, named couchdb-loungenonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
noneyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-Memory realmyes
User concepts infoAccess controlnoyesnoyes
More information provided by the system vendor
PouchDBRealmRocksDBTDengine
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

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

TDengine 3.3.0.0 Release Notes
7 May 2024

How to Unlock Value from Industrial Data with AI and ML Technology
6 May 2024

Compare InfluxDB vs. TDengine
19 April 2024

Why We Need the Next Generation Data Historian
15 April 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
PouchDBRealmRocksDBTDengine
DB-Engines blog posts

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Recent citations in the news

Building an Offline First App with PouchDB — SitePoint
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