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DBMS > Google Cloud Firestore vs. GridDB vs. Oracle Coherence vs. TerminusDB

System Properties Comparison Google Cloud Firestore vs. GridDB vs. Oracle Coherence vs. TerminusDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonGridDB  Xexclude from comparisonOracle Coherence  Xexclude from comparisonTerminusDB infoformer name was DataChemist  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 in-memory time series database optimized for IoT and Big DataOracles in-memory data grid solutionScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelDocument storeTime Series DBMSKey-value storeGraph DBMS
Secondary database modelsKey-value store
Relational DBMS
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.36
Rank#53  Overall
#9  Document stores
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websitefirebase.google.com/­products/­firestoregriddb.netwww.oracle.com/­java/­coherenceterminusdb.com
Technical documentationfirebase.google.com/­docs/­firestoredocs.griddb.netdocs.oracle.com/­en/­middleware/­standalone/­coherenceterminusdb.github.io/­terminusdb/­#
DeveloperGoogleToshiba CorporationOracleDataChemist Ltd.
Initial release2017201320072018
Current release5.1, August 202214.1, August 202311.0.0, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaProlog, Rust
Server operating systemshostedLinuxAll OS with a Java VMLinux
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyesyes
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 indexesyesyesno
SQL infoSupport of SQLnoSQL92, SQL-like TQL (Toshiba Query Language)noSQL-like query language (WOQL)
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JCache
JPA
RESTful HTTP API
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C++
Java
JavaScript
Python
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsnonoyes
Triggersyes, with Cloud Functionsyesyes infoLive Eventsyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationyes, with selectable consistency levelJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud DataflowConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID at container levelconfigurableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infooptionallyyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
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.Access rights for users can be defined per databaseauthentification to access the cache via certificates or http basic authenticationRole-based access control
More information provided by the system vendor
Google Cloud FirestoreGridDBOracle CoherenceTerminusDB infoformer name was DataChemist
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
Google Cloud FirestoreGridDBOracle CoherenceTerminusDB infoformer name was DataChemist
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