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DBMS > BigchainDB vs. CockroachDB vs. Faircom EDGE vs. Oracle Berkeley DB

System Properties Comparison BigchainDB vs. CockroachDB vs. Faircom EDGE vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonCockroachDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsCockroachDB 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.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsWidely used in-process key-value store
Primary database modelDocument storeRelational DBMSKey-value store
Relational DBMS
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
Score0.85
Rank#208  Overall
#35  Document stores
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Websitewww.bigchaindb.comwww.cockroachlabs.comwww.faircom.com/­products/­faircom-edgewww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.cockroachlabs.com/­docsdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperCockroach LabsFairCom CorporationOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2016201519791994
Current release24.1.0, May 2024V3, October 202018.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache 2.0, commercial license availablecommercial infoRestricted, free version availableOpen 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 languagePythonGoANSI C, C++C, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinuxLinux
macOS
Windows
Android
Linux infoARM, x86
Raspbian
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeschema-freedynamic schemaFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or datenoyesyes, ANSI Standard SQL Typesno
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.nonoyesyes infoonly with the Berkeley DB XML edition
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyes, wire compatible with PostgreSQLyes infoANSI SQL queriesyes infoSQL interfaced based on SQLite is available
APIs and other access methodsCLI Client
RESTful HTTP API
JDBCADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.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 proceduresnoyes info.Net, JavaScript, C/C++no
Triggersnoyesyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal 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 RAFTFile partitioning infoCustomizable business rules for partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication using RAFTyes infoSynchronous and asynchronous realtime replication based on transaction logsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Foreign keys infoReferential integritynoyesyes infowhen using SQLno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQL
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlyesRole-based access controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.no

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More resources
BigchainDBCockroachDBFaircom EDGE infoformerly c-treeEDGEOracle Berkeley DB
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