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DBMS > FeatureBase vs. PouchDB vs. Realm vs. Splice Machine vs. TDengine

System Properties Comparison FeatureBase vs. PouchDB vs. Realm vs. Splice Machine vs. TDengine

Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonPouchDB  Xexclude from comparisonRealm  Xexclude from comparisonSplice Machine  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.JavaScript 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 DataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkTime Series DBMS and big data platform
Primary database modelRelational DBMSDocument storeDocument storeRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score7.60
Rank#52  Overall
#9  Document stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitewww.featurebase.compouchdb.comrealm.iosplicemachine.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.featurebase.compouchdb.com/­guidesrealm.io/­docssplicemachine.com/­how-it-worksdocs.tdengine.com
DeveloperMolecula and Pilosa Open Source ContributorsApache Software FoundationRealm, acquired by MongoDB in May 2019Splice MachineTDEngine, previously Taos Data
Initial release20172012201420142019
Current release2022, May 20227.1.1, June 20193.1, March 20213.0, August 2022
License infoCommercial or Open SourcecommercialOpen SourceOpen SourceOpen Source infoAGPL 3.0, commercial license availableOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaScriptJavaC
Server operating systemsLinux
macOS
server-less, requires a JavaScript environment (browser, Node.js)Android
Backend: server-less
iOS
Windows
Linux
OS X
Solaris
Windows
Linux
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 infovia viewsyesyesno
SQL infoSupport of SQLSQL queriesnonoyesStandard SQL with extensions for time-series applications
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
Native Spark Datasource
ODBC
JDBC
RESTful HTTP API
Supported programming languagesJava
Python
JavaScript.Net
Java infowith Android only
Objective-C
React Native
Swift
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
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 unnecessaryyes infoJavano
Triggersnoyesyes infoChange Listenersyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infowith a proxy-based framework, named couchdb-loungenoneShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
noneMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes, using Linux fsyncyes 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.yesyesyes infoIn-Memory realmyes
User concepts infoAccess controlnoyesAccess rights for users, groups and roles according to SQL-standardyes
More information provided by the system vendor
FeatureBasePouchDBRealmSplice MachineTDengine
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
FeatureBasePouchDBRealmSplice MachineTDengine
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