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DBMS > Google Cloud Firestore vs. Kdb vs. TimesTen vs. YDB

System Properties Comparison Google Cloud Firestore vs. Kdb vs. TimesTen vs. YDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonKdb  Xexclude from comparisonTimesTen  Xexclude from comparisonYDB  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.High performance Time Series DBMSIn-Memory RDBMS compatible to OracleA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelDocument storeTime Series DBMS
Vector DBMS
Relational DBMSDocument store
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.96
Rank#48  Overall
#8  Document stores
Score7.70
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score1.35
Rank#165  Overall
#75  Relational DBMS
Score0.34
Rank#285  Overall
#43  Document stores
#130  Relational DBMS
Websitefirebase.google.com/­products/­firestorekx.comwww.oracle.com/­database/­technologies/­related/­timesten.htmlgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationfirebase.google.com/­docs/­firestorecode.kx.comdocs.oracle.com/­database/­timesten-18.1ydb.tech/­en/­docs
DeveloperGoogleKx Systems, a division of First Derivatives plcOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Yandex
Initial release20172000 infokdb was released 2000, kdb+ in 200319982019
Current release3.6, May 201811 Release 2 (11.2.2.8.0)
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versioncommercialOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageq
Server operating systemshostedLinux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Data schemeschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesnono
Secondary indexesyesyes infotable attribute 'grouped'yesyes
SQL infoSupport of SQLnoSQL-like query language (q)yesSQL-like query language (YQL)
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C++
Java
PL/SQL
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsuser defined functionsPL/SQLno
Triggersyes, with Cloud Functionsyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationMulti-source replication
Source-replica replication
Active-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowno infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
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.rights management via user accountsfine grained access rights according to SQL-standardAccess rights defined for Yandex Cloud users
More information provided by the system vendor
Google Cloud FirestoreKdbTimesTenYDB
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
Google Cloud FirestoreKdbTimesTenYDB
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