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DBMS > CockroachDB vs. CouchDB vs. HarperDB vs. Splice Machine

System Properties Comparison CockroachDB vs. CouchDB vs. HarperDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonHarperDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionCockroachDB 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 native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSDocument storeDocument storeRelational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score9.30
Rank#45  Overall
#7  Document stores
Score0.55
Rank#248  Overall
#38  Document stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.cockroachlabs.comcouchdb.apache.orgwww.harperdb.iosplicemachine.com
Technical documentationwww.cockroachlabs.com/­docsdocs.couchdb.org/­en/­stabledocs.harperdb.io/­docssplicemachine.com/­how-it-works
DeveloperCockroach LabsApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerHarperDBSplice Machine
Initial release2015200520172014
Current release23.1.1, May 20233.3.3, December 20233.1, August 20213.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availableOpen Source infoApache version 2commercial infofree community edition availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoErlangNode.jsJava
Server operating systemsLinux
macOS
Windows
Android
BSD
Linux
OS X
Solaris
Windows
Linux
OS X
Linux
OS X
Solaris
Windows
Data schemedynamic schemaschema-freedynamic schemayes
Typing infopredefined data types such as float or dateyesnoyes infoJSON data typesyes
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.nonono
Secondary indexesyesyes infovia viewsyesyes
SQL infoSupport of SQLyes, wire compatible with PostgreSQLnoSQL-like data manipulation statementsyes
APIs and other access methodsJDBCRESTful HTTP/JSON APIJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoView functions in JavaScriptCustom Functions infosince release 3.1yes infoJava
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal 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 RAFTSharding infoimproved architecture with release 2.0A table resides as a whole on one (or more) nodes in a clusterShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTMulti-source replication
Source-replica replication
yes infothe nodes on which a table resides can be definedMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single document possibleAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlRole-based access controlAccess rights for users can be defined per databaseAccess rights for users and rolesAccess rights for users, groups and roles according to SQL-standard

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CockroachDBCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"HarperDBSplice Machine
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