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DBMS > CouchDB vs. Databricks vs. Tarantool

System Properties Comparison CouchDB vs. Databricks vs. Tarantool

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Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDatabricks  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.In-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelDocument storeDocument store
Relational DBMS
Document store
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.46
Rank#51  Overall
#7  Document stores
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score1.63
Rank#139  Overall
#25  Document stores
#24  Key-value stores
#65  Relational DBMS
Websitecouchdb.apache.orgwww.databricks.comwww.tarantool.io
Technical documentationdocs.couchdb.org/­en/­stabledocs.databricks.comwww.tarantool.io/­en/­doc
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerDatabricksVK
Initial release200520132008
Current release3.3.3, December 20232.10.0, May 2022
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC and C++
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
hostedBSD
Linux
macOS
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)Flexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or datenostring, double, decimal, uuid, integer, blob, boolean, datetime
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.noyesno
Secondary indexesyes infovia viewsyesyes
SQL infoSupport of SQLnowith Databricks SQLFull-featured ANSI SQL support
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
Open binary protocol
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Python
R
Scala
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresView functions in JavaScriptuser defined functions and aggregatesLua, C and SQL stored procedures
Triggersyesyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0Sharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyCasual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACIDACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyes, cooperative multitasking
Durability infoSupport for making data persistentyesyesyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
More information provided by the system vendor
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatabricksTarantool
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatabricksTarantool
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