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DBMS > Blueflood vs. CockroachDB vs. FatDB vs. Oracle Berkeley DB

System Properties Comparison Blueflood vs. CockroachDB vs. FatDB vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonCockroachDB  Xexclude from comparisonFatDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the 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 in-process key-value store
Primary database modelTime Series DBMSRelational DBMSDocument store
Key-value store
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
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
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Websiteblueflood.iowww.cockroachlabs.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationgithub.com/­rax-maas/­blueflood/­wikiwww.cockroachlabs.com/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperRackspaceCockroach LabsFatCloudOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2013201520121994
Current release24.1.0, May 202418.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0, commercial license availablecommercialOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC#C, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinux
OS X
Linux
macOS
Windows
WindowsAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemepredefined schemedynamic schemaschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonoyes infoonly with the Berkeley DB XML edition
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyes, wire compatible with PostgreSQLno infoVia inetgration in SQL Serveryes infoSQL interfaced based on SQLite is available
APIs and other access methodsHTTP RESTJDBC.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C#.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresnonoyes infovia applicationsno
Triggersnonoyes infovia applicationsyes infoonly for the SQL API
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 RAFTShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replication using RAFTselectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nonoyes
User concepts infoAccess controlnoRole-based access controlno infoCan implement custom security layer via applicationsno

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More resources
BluefloodCockroachDBFatDBOracle Berkeley DB
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