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DBMS > Blueflood vs. CockroachDB vs. FatDB vs. SQLite vs. Yanza

System Properties Comparison Blueflood vs. CockroachDB vs. FatDB vs. SQLite vs. Yanza

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonCockroachDB  Xexclude from comparisonFatDB  Xexclude from comparisonSQLite  Xexclude from comparisonYanza  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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.A .NET NoSQL DBMS that can integrate with and extend SQL Server.Widely used embeddable, in-process RDBMSTime Series DBMS for IoT Applications
Primary database modelTime Series DBMSRelational DBMSDocument store
Key-value store
Relational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score114.32
Rank#10  Overall
#7  Relational DBMS
Websiteblueflood.iowww.cockroachlabs.comwww.sqlite.orgyanza.com
Technical documentationgithub.com/­rax-maas/­blueflood/­wikiwww.cockroachlabs.com/­docswww.sqlite.org/­docs.html
DeveloperRackspaceCockroach LabsFatCloudDwayne Richard HippYanza
Initial release20132015201220002015
Current release24.1.0, May 20243.46.0  (23 May 2024), May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0, commercial license availablecommercialOpen Source infoPublic Domaincommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC#C
Server operating systemsLinux
OS X
Linux
macOS
Windows
Windowsserver-lessWindows
Data schemepredefined schemedynamic schemaschema-freeyes infodynamic column typesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infonot rigid because of 'dynamic typing' concept.no
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 indexesnoyesyesyesno
SQL infoSupport of SQLnoyes, wire compatible with PostgreSQLno infoVia inetgration in SQL Serveryes infoSQL-92 is not fully supportedno
APIs and other access methodsHTTP RESTJDBC.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
HTTP API
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C#Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
any language that supports HTTP calls
Server-side scripts infoStored proceduresnonoyes infovia applicationsnono
Triggersnonoyes infovia applicationsyesyes infoTimer and event based
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 RAFTShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replication using RAFTselectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locksyes
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.nonoyes
User concepts infoAccess controlnoRole-based access controlno infoCan implement custom security layer via applicationsnono

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More resources
BluefloodCockroachDBFatDBSQLiteYanza
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