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

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

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonCockroachDB  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 CassandraCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.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 high performance, scalable Wide Column DBMS
Primary database modelTime Series DBMSRelational DBMSDocument 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
Score5.73
Rank#58  Overall
#34  Relational DBMS
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.iowww.cockroachlabs.comfirebase.google.com/­products/­realtime-databasespark.apache.org/­sqlgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationgithub.com/­rax-maas/­blueflood/­wikiwww.cockroachlabs.com/­docsfirebase.google.com/­docs/­databasespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperRackspaceCockroach LabsGoogle infoacquired by Google 2014Apache Software FoundationAlex Kashirin
Initial release20132015201220142020
Current release24.1.0, May 20243.5.0 ( 2.13), September 20230.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0, commercial license availablecommercialOpen Source infoApache 2.0Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoScalaC++
Server operating systemsLinux
OS X
Linux
macOS
Windows
hostedLinux
OS X
Windows
Linux
Data schemepredefined schemedynamic schemaschema-freeyesschema-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.nonononono
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoyes, wire compatible with PostgreSQLnoSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsHTTP RESTJDBCAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
Thrift
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Java
JavaScript
Objective-C
Java
Python
R
Scala
C++
Server-side scripts infoStored proceduresnonolimited functionality with using 'rules'nono
TriggersnonoCallbacks are triggered when data changesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrahorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replication using RAFTnone
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 integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesno
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 controlnoRole-based access controlyes, based on authentication and database rulesno

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