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DBMS > Cloudflare Workers KV vs. Firebase Realtime Database vs. Spark SQL vs. TigerGraph

System Properties Comparison Cloudflare Workers KV vs. Firebase Realtime Database vs. Spark SQL vs. TigerGraph

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonSpark SQL  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Spark SQL is a component on top of 'Spark Core' for structured data processingA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelKey-value storeDocument storeRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#283  Overall
#40  Key-value stores
Score14.29
Rank#39  Overall
#6  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvfirebase.google.com/­products/­realtime-databasespark.apache.org/­sqlwww.tigergraph.com
Technical documentationdevelopers.cloudflare.com/­kv/­apifirebase.google.com/­docs/­databasespark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.tigergraph.com
DeveloperCloudflareGoogle infoacquired by Google 2014Apache Software Foundation
Initial release2018201220142017
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC++
Server operating systemshostedhostedLinux
OS X
Windows
Linux
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesnoyesno
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsSQL-like query language (GSQL)
APIs and other access methodsHTTP REST
Proprietary protocol
Android
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Java
JavaScript
Objective-C
Java
Python
R
Scala
C++
Java
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'noyes
TriggersnoCallbacks are triggered when data changesnono
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Foreign keys infoReferential integritynononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoACID
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.nonono
User concepts infoAccess controlyes, based on authentication and database rulesnoRole-based access control

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More resources
Cloudflare Workers KVFirebase Realtime DatabaseSpark SQLTigerGraph
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