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DBMS > ArcadeDB vs. Couchbase vs. Databricks

System Properties Comparison ArcadeDB vs. Couchbase vs. Databricks

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Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonCouchbase infoOriginally called Membase  Xexclude from comparisonDatabricks  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenA distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile databaseThe 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.
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Document storeDocument store
Relational DBMS
Secondary database modelsKey-value store infooriginating from the former Membase product and supporting the Memcached protocol
Spatial DBMS infousing the Geocouch extension
Search engine
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.11
Rank#351  Overall
#49  Document stores
#35  Graph DBMS
#52  Key-value stores
#34  Time Series DBMS
Score19.15
Rank#36  Overall
#5  Document stores
Score74.34
Rank#17  Overall
#3  Document stores
#11  Relational DBMS
Websitearcadedb.comwww.couchbase.comwww.databricks.com
Technical documentationdocs.arcadedb.comdocs.couchbase.comdocs.databricks.com
DeveloperArcade DataCouchbase, Inc.Databricks
Initial release202120112013
Current releaseSeptember 2021Server: 7.2, June 2023; Mobile: 3.1, March 2022; Couchbase Capella (DBaaS), June 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBusiness Source License (BSL 1.1); Commercial licenses also availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++, Go and Erlang
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
hosted
Data schemeschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyes
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.noyes
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query language, no joinsSQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use caseswith Databricks SQL
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
CLI Client
HTTP REST
Kafka Connector
Native language bindings for CRUD, Query, Search and Analytics APIs
Spark Connector
Spring Data
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJava.Net
C
Go
Java
JavaScript infoNode.js
Kotlin
PHP
Python
Ruby
Scala
Python
R
Scala
Server-side scripts infoStored proceduresFunctions and timers in JavaScript and UDFs in Java, Python, SQL++user defined functions and aggregates
Triggersyes infovia the TAP protocol
Partitioning methods infoMethods for storing different data on different nodesAutomatic Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication infoincluding cross data center replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infoselectable on a per-operation basis
Immediate Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoEphemeral bucketsno
User concepts infoAccess controlUser and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control.
More information provided by the system vendor
ArcadeDBCouchbase infoOriginally called MembaseDatabricks
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
ArcadeDBCouchbase infoOriginally called MembaseDatabricks
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