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DBMS > Apache Druid vs. Couchbase vs. VoltDB

System Properties Comparison Apache Druid vs. Couchbase vs. VoltDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonCouchbase infoOriginally called Membase  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile databaseDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelRelational DBMS
Time Series DBMS
Document storeRelational 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
Score3.33
Rank#99  Overall
#51  Relational DBMS
#7  Time Series DBMS
Score19.15
Rank#36  Overall
#5  Document stores
Score1.51
Rank#165  Overall
#75  Relational DBMS
Websitedruid.apache.orgwww.couchbase.comwww.voltdb.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.couchbase.comdocs.voltdb.com
DeveloperApache Software Foundation and contributorsCouchbase, Inc.VoltDB Inc.
Initial release201220112010
Current release29.0.0, February 2024Server: 7.2, June 2023; Mobile: 3.1, March 2022; Couchbase Capella (DBaaS), June 202311.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoBusiness Source License (BSL 1.1); Commercial licenses also availableOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++, Go and ErlangJava, C++
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows
Linux
OS X infofor development
Data schemeyes infoschema-less columns are supportedschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.no
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL for queryingSQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use casesyes infoonly a subset of SQL 99
APIs and other access methodsJDBC
RESTful HTTP/JSON API
CLI Client
HTTP REST
Kafka Connector
Native language bindings for CRUD, Query, Search and Analytics APIs
Spark Connector
Spring Data
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
Go
Java
JavaScript infoNode.js
Kotlin
PHP
Python
Ruby
Scala
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnoFunctions and timers in JavaScript and UDFs in Java, Python, SQL++Java
Triggersnoyes infovia the TAP protocolno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedAutomatic ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication infoincluding cross data center replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infoselectable on a per-operation basis
Foreign keys infoReferential integritynonono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoEphemeral buckets
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemUser and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control.Users and roles with access to stored procedures

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More resources
Apache DruidCouchbase infoOriginally called MembaseVoltDB
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