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DBMS > BoltDB vs. Google Cloud Firestore vs. NSDb vs. TDengine

System Properties Comparison BoltDB vs. Google Cloud Firestore vs. NSDb vs. TDengine

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonNSDb  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesTime Series DBMS and big data platform
Primary database modelKey-value storeDocument storeTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#215  Overall
#31  Key-value stores
Score7.36
Rank#53  Overall
#9  Document stores
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitegithub.com/­boltdb/­boltfirebase.google.com/­products/­firestorensdb.iogithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationfirebase.google.com/­docs/­firestorensdb.io/­Architecturedocs.tdengine.com
DeveloperGoogleTDEngine, previously Taos Data
Initial release2013201720172019
Current release3.0, August 2022
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoApache Version 2.0Open Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, ScalaC
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinux
macOS
Linux
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesyes: int, bigint, decimal, stringyes
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 indexesnoyesall fields are automatically indexedno
SQL infoSupport of SQLnonoSQL-like query languageStandard SQL with extensions for time-series applications
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
gRPC
HTTP REST
WebSocket
JDBC
RESTful HTTP API
Supported programming languagesGoGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Java
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud Functionsnono
Triggersnoyes, with Cloud Functionsyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.yes
More information provided by the system vendor
BoltDBGoogle Cloud FirestoreNSDbTDengine
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
BoltDBGoogle Cloud FirestoreNSDbTDengine
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