DBMS > ArcadeDB vs. Couchbase vs. Dragonfly
System Properties Comparison ArcadeDB vs. Couchbase vs. Dragonfly
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|Editorial information provided by DB-Engines|
|Name||ArcadeDB Xexclude from comparison||Couchbase Originally called Membase Xexclude from comparison||Dragonfly Xexclude from comparison|
|Description||Fast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewritten||A distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile database||A drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instance|
|Primary database model||Document store|
Time Series DBMS in next version
|Document store||Key-value store|
|Secondary database models||Key-value store originating from the former Membase product and supporting the Memcached protocol|
Spatial DBMS using the Geocouch extension
Time Series DBMS
|Developer||Arcade Data||Couchbase, Inc.||DragonflyDB team and community contributors|
|Current release||September 2021||Server: 7.2, June 2023; Mobile: 3.1, March 2022; Couchbase Capella (DBaaS), June 2023||1.0, March 2023|
|License Commercial or Open Source||Open Source Apache Version 2.0||Open Source Business Source License (BSL 1.1); Commercial licenses also available||Open Source BSL 1.1|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Implementation language||Java||C, C++, Go and Erlang||C++|
|Server operating systems||All OS with a Java VM||Linux|
|Typing predefined data types such as float or date||yes||yes||strings, hashes, lists, sets, sorted sets, bit arrays|
|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||no|
|SQL Support of SQL||SQL-like query language, no joins||SQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use cases||no|
|APIs and other access methods||JDBC|
PostgreSQL wire protocol
RESTful HTTP/JSON API
Native language bindings for CRUD, Query, Search and Analytics APIs
|Proprietary protocol RESP - REdis Serialization Protocol|
|Supported programming languages||Java||.Net|
|Triggers||yes via the TAP protocol||publish/subscribe channels provide some trigger functionality|
|Partitioning methods Methods for storing different data on different nodes||Automatic Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Source-replica replication||Multi-source replication including cross data center replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||yes||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Eventual Consistency|
Immediate Consistency selectable on a per-operation basis
|Foreign keys Referential integrity||yes relationship in graphs||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID||Atomic execution of command blocks and scripts|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes, strict serializability by the server|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes Ephemeral buckets||yes|
|User concepts Access control||User and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control.||Password-based authentication|
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|3rd parties||CData: Connect to Big Data & NoSQL through standard Drivers.|
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|ArcadeDB||Couchbase Originally called Membase||Dragonfly|
|DB-Engines blog posts|
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