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DBMS > Google Cloud Firestore vs. Kdb vs. PieCloudDB vs. Sqrrl

System Properties Comparison Google Cloud Firestore vs. Kdb vs. PieCloudDB vs. Sqrrl

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonKdb  Xexclude from comparisonPieCloudDB  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
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 DBMSA cloud-native analytic database platform with new technologoy for elastic MPPAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelDocument storeTime Series DBMS
Vector DBMS
Relational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.25
Rank#304  Overall
#138  Relational DBMS
Websitefirebase.google.com/­products/­firestorekx.comwww.openpie.comsqrrl.com
Technical documentationfirebase.google.com/­docs/­firestorecode.kx.com
DeveloperGoogleKx Systems, a division of First Derivatives plcOpenPieAmazon infooriginally Sqrrl Data, Inc.
Initial release20172000 infokdb was released 2000, kdb+ in 20032012
Current release3.6, May 20182.1, January 2023
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versioncommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageqJava
Server operating systemshostedLinux
OS X
Solaris
Windows
hostedLinux
Data schemeschema-freeyesyesschema-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.noyes
Secondary indexesyesyes infotable attribute 'grouped'yesyes
SQL infoSupport of SQLnoSQL-like query language (q)yesno
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
CLI Client
JDBC
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
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
Java
PL/SQL
Python
R
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsuser defined functionsuser defined functionsno
Triggersyes, with Cloud Functionsyes infowith viewsnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningyesSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationyesselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowno infosimilar paradigm used for internal processingyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
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 accountsUser Roles and pluggable authentication with full SQL StandardCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)
More information provided by the system vendor
Google Cloud FirestoreKdbPieCloudDBSqrrl
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
PieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Extreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
PieCloudDB is ideal for Data mining applications that require extreme scalability...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Sail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more
PieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» more

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More resources
Google Cloud FirestoreKdbPieCloudDBSqrrl
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