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DBMS > Blueflood vs. etcd vs. Firebase Realtime Database vs. Spark SQL vs. SWC-DB

System Properties Comparison Blueflood vs. etcd vs. Firebase Realtime Database vs. Spark SQL vs. SWC-DB

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonetcd  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonSpark SQL  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraA distributed reliable key-value storeCloud-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 high performance, scalable Wide Column DBMS
Primary database modelTime Series DBMSKey-value storeDocument storeRelational DBMSWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score7.03
Rank#54  Overall
#5  Key-value stores
Score13.64
Rank#39  Overall
#6  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websiteblueflood.ioetcd.io
github.com/­etcd-io/­etcd
firebase.google.com/­products/­realtime-databasespark.apache.org/­sqlgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationgithub.com/­rax-maas/­blueflood/­wikietcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
firebase.google.com/­docs/­databasespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperRackspaceGoogle infoacquired by Google 2014Apache Software FoundationAlex Kashirin
Initial release2013201220142020
Current release3.4, August 20193.5.0 ( 2.13), September 20230.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoScalaC++
Server operating systemsLinux
OS X
FreeBSD
Linux
Windows infoexperimental
hostedLinux
OS X
Windows
Linux
Data schemepredefined schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonononono
Secondary indexesnonoyesno
SQL infoSupport of SQLnononoSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsHTTP RESTgRPC
JSON over HTTP
Android
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
Thrift
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Java
JavaScript
Objective-C
Java
Python
R
Scala
C++
Server-side scripts infoStored proceduresnonolimited functionality with using 'rules'nono
Triggersnoyes, watching key changesCallbacks are triggered when data changesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrayes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlnonoyes, based on authentication and database rulesno

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More resources
BluefloodetcdFirebase Realtime DatabaseSpark SQLSWC-DB infoSuper Wide Column Database
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