DBMS > CouchDB vs. Kdb vs. MongoDB vs. ScyllaDB vs. Snowflake
System Properties Comparison CouchDB vs. Kdb vs. MongoDB vs. ScyllaDB vs. Snowflake
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| Name | CouchDB  stands for "Cluster Of Unreliable Commodity Hardware" Xexclude from comparison | Kdb Xexclude from comparison | MongoDB Xexclude from comparison | ScyllaDB Xexclude from comparison | Snowflake Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Description | A native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones. | High performance Time Series DBMS | One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure | Cassandra and DynamoDB compatible wide column store | Cloud-based data warehousing service for structured and semi-structured data | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Primary database model | Document store | Time Series DBMS Vector DBMS | Document store | Wide column store | Relational DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Secondary database models | Spatial DBMS using the Geocouch extension | Relational DBMS | Spatial DBMS Search engine integrated Lucene index, currently in MongoDB Atlas only.Time Series DBMS Time Series Collections introduced in Release 5.0Vector DBMS currently available in the MongoDB Atlas cloud service only | Key-value store | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Website | couchdb.apache.org | kx.com | www.mongodb.com | www.scylladb.com | www.snowflake.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Technical documentation | docs.couchdb.org/en/stable | code.kx.com | www.mongodb.com/docs/manual | docs.scylladb.com | docs.snowflake.net/manuals/index.html | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Developer | Apache Software Foundation Apache top-level project, originally developed by Damien Katz, a former Lotus Notes developer | Kx Systems, a division of First Derivatives plc | MongoDB, Inc | ScyllaDB | Snowflake Computing Inc. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Initial release | 2005 | 2000 kdb was released 2000, kdb+ in 2003 | 2009 | 2015 | 2014 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Current release | 3.3.3, December 2023 | 3.6, May 2018 | 6.0.7, June 2023 | ScyllaDB Open Source 5.4.1, January 2024 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| License Commercial or Open Source | Open Source Apache version 2 | commercial free 32-bit version | Open Source MongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available. | Open Source Open Source (AGPL), commercial license available | commercial | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Cloud-based only Only available as a cloud service | no | no | no MongoDB available as DBaaS (MongoDB Atlas) | no | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Implementation language | Erlang | q | C++ | C++ | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Server operating systems | Android BSD Linux OS X Solaris Windows | Linux OS X Solaris Windows | Linux OS X Solaris Windows | Linux | hosted | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Data scheme | schema-free | yes | schema-free Although schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema. | schema-free | yes support of semi-structured data formats (JSON, XML, Avro) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Typing predefined data types such as float or date | no | yes | yes string, integer, double, decimal, boolean, date, object_id, geospatial | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT. | no | yes | no | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Secondary indexes | yes via views | yes table attribute 'grouped' | yes | yes cluster global secondary indices | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| SQL Support of SQL | no | SQL-like query language (q) | Read-only SQL queries via the MongoDB Atlas SQL Interface | SQL-like DML and DDL statements (CQL) | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| APIs and other access methods | RESTful HTTP/JSON API | HTTP API JDBC Jupyter Kafka ODBC WebSocket | GraphQL HTTP REST Prisma proprietary protocol using JSON | Proprietary protocol (CQL) compatible with CQL (Cassandra Query Language, an SQL-like language) RESTful HTTP API (DynamoDB compatible) Thrift | CLI Client JDBC ODBC | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Supported programming languages | C C# ColdFusion Erlang Haskell Java JavaScript Lisp Lua Objective-C OCaml Perl PHP PL/SQL Python Ruby Smalltalk | C C# C++ Go J Java JavaScript Lua MatLab Perl PHP Python R Scala | Actionscript unofficial driver C C# C++ Clojure unofficial driverColdFusion unofficial driverD unofficial driverDart unofficial driverDelphi unofficial driverErlang Go Groovy unofficial driverHaskell Java JavaScript Kotlin Lisp unofficial driverLua unofficial driverMatLab unofficial driverPerl PHP PowerShell unofficial driverProlog unofficial driverPython R unofficial driverRuby Rust Scala Smalltalk unofficial driverSwift | For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby | JavaScript (Node.js) Python | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Server-side scripts Stored procedures | View functions in JavaScript | user defined functions | JavaScript | yes, Lua | user defined functions | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Triggers | yes | yes with views | yes in MongoDB Atlas only | no | no similar concept for controling cloud resources | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Partitioning methods Methods for storing different data on different nodes | Sharding improved architecture with release 2.0 | horizontal partitioning | Sharding Partitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime. | Sharding | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Replication methods Methods for redundantly storing data on multiple nodes | Multi-source replication Source-replica replication | Source-replica replication | Multi-Source deployments with MongoDB Atlas Global Clusters Source-replica replication | selectable replication factor Representation of geographical distribution of servers is possible | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| MapReduce Offers an API for user-defined Map/Reduce methods | yes | no similar paradigm used for internal processing | yes | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Consistency concepts Methods to ensure consistency in a distributed system | Eventual Consistency | Immediate Consistency | Eventual Consistency can be individually decided for each read operation Immediate Consistency default behaviour | Eventual Consistency Tunable Consistency can be individually decided for each write operation | Immediate Consistency | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Foreign keys Referential integrity | no | yes | no typically not used, however similar functionality with DBRef possible | no | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | no atomic operations within a single document possible | no | Multi-document ACID Transactions with snapshot isolation | no Atomicity and isolation are supported for single operations | ACID | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Concurrency Support for concurrent manipulation of data | yes strategy: optimistic locking | yes | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Durability Support for making data persistent | yes | yes | yes optional, enabled by default | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | no | yes | yes In-memory storage engine introduced with MongoDB version 3.2 | yes in-memory tables | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| User concepts Access control | Access rights for users can be defined per database | rights management via user accounts | Access rights for users and roles | Access rights for users can be defined per object | Users with fine-grained authorization concept, user roles and pluggable authentication | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| More information provided by the system vendor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| CouchDB stands for "Cluster Of Unreliable Commodity Hardware" | Kdb | MongoDB | ScyllaDB | Snowflake | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Specific characteristics | Integrated columnar database & programming system for streaming, real time and historical... » more | MongoDB provides an integrated suite of cloud database and data services to accelerate... » more | ScyllaDB is engineered to deliver predictable performance at scale. It’s adopted... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Competitive advantages | provides seamless scalability; runs on industry standard server platforms; is top-ranked... » more | Built around the flexible document data model and unified API, MongoDB is a developer... » more | Highly-performant (efficiently utilizes full resources of a node and network; millions... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Typical application scenarios | tick database streaming sensor data massive intelligence applications oil and gas... » more | AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of... » more | ScyllaDB is ideal for applications that require high throughput and low latency at... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Key customers | Goldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities... » more | ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,... » more | Discord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Market metrics | kdb+ performance and reliability proven by our customers in critical infrastructure... » more | Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month... » more | ScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Licensing and pricing models | upon request » more | MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses... » more | ScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 3rd parties | CData: Connect to Big Data & NoSQL through standard Drivers. » more Studio 3T: The world's favorite IDE for working with MongoDB » more Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development. » more | CData: Connect to Big Data & NoSQL through standard Drivers. » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| More resources | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| CouchDB stands for "Cluster Of Unreliable Commodity Hardware" | Kdb | MongoDB | ScyllaDB | Snowflake | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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