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DBMS > BigchainDB vs. Cassandra vs. Datomic vs. KeyDB

System Properties Comparison BigchainDB vs. Cassandra vs. Datomic vs. KeyDB

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonCassandra  Xexclude from comparisonDatomic  Xexclude from comparisonKeyDB  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocols
Primary database modelDocument storeWide column storeRelational DBMSKey-value store
Secondary database modelsVector DBMS infostarting with release V5
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#210  Overall
#36  Document stores
Score104.59
Rank#12  Overall
#1  Wide column stores
Score2.08
Rank#132  Overall
#64  Relational DBMS
Score0.94
Rank#205  Overall
#30  Key-value stores
Websitewww.bigchaindb.comcassandra.apache.orgwww.datomic.comgithub.com/­Snapchat/­KeyDB
keydb.dev
Technical documentationbigchaindb.readthedocs.io/­en/­latestcassandra.apache.org/­doc/­latestdocs.datomic.comdocs.keydb.dev
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookCognitectEQ Alpha Technology Ltd.
Initial release2016200820122019
Current release4.1.3, July 20231.0.6735, June 2023
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache version 2commercial infolimited edition freeOpen Source infoBSD-3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Astra DB: Multi-cloud DBaaS built on Apache Cassandra.
Implementation languagePythonJavaJava, ClojureC++
Server operating systemsLinuxBSD
Linux
OS X
Windows
All OS with a Java VMLinux
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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 indexesrestricted infoonly equality queries, not always the best performing solutionyesyes infoby using the Redis Search module
SQL infoSupport of SQLnoSQL-like SELECT, DML and DDL statements (CQL)nono
APIs and other access methodsCLI Client
RESTful HTTP API
Proprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
RESTful HTTP APIProprietary protocol infoRESP - REdis Serialization Protoco
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
Clojure
Java
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Server-side scripts infoStored proceduresnoyes infoTransaction FunctionsLua
TriggersyesBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"none infoBut extensive use of caching in the application peersSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infoRepresentation of geographical distribution of servers is possiblenone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyes
User concepts infoAccess controlyesAccess rights for users can be defined per objectnosimple password-based access control and ACL
More information provided by the system vendor
BigchainDBCassandraDatomicKeyDB
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
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Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
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Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
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Market metricsCassandra is used by 40% of the Fortune 100.
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
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