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DBMS > Google Cloud Firestore vs. TerminusDB vs. TimescaleDB vs. YottaDB

System Properties Comparison Google Cloud Firestore vs. TerminusDB vs. TimescaleDB vs. YottaDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonTimescaleDB  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionCloud 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 Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA fast and solid embedded Key-value store
Primary database modelDocument storeGraph DBMSTime Series DBMSKey-value store
Secondary database modelsDocument store
RDF store
Relational DBMSRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score0.17
Rank#325  Overall
#29  Graph DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Score0.20
Rank#317  Overall
#47  Key-value stores
Websitefirebase.google.com/­products/­firestoreterminusdb.comwww.timescale.comyottadb.com
Technical documentationfirebase.google.com/­docs/­firestoreterminusdb.github.io/­terminusdb/­#docs.timescale.comyottadb.com/­resources/­documentation
DeveloperGoogleDataChemist Ltd.TimescaleYottaDB, LLC
Initial release2017201820172001
Current release11.0.0, January 20232.15.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3Open Source infoApache 2.0Open Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageProlog, RustCC
Server operating systemshostedLinuxLinux
OS X
Windows
Docker
Linux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesno
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.nonoyesno
Secondary indexesyesyesno
SQL infoSupport of SQLnoSQL-like query language (WOQL)yes infofull PostgreSQL SQL syntaxby using the Octo plugin
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
JavaScript
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyes, with Cloud Functionsyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingGraph Partitioningyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationJournaling StreamsSource-replica replication with hot standby and reads on replicas infoyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoin-memory journalingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Role-based access controlfine grained access rights according to SQL-standardUsers and groups based on OS-security mechanisms

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More resources
Google Cloud FirestoreTerminusDB infoformer name was DataChemistTimescaleDBYottaDB
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