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DBMS > Couchbase vs. Sphinx vs. Splice Machine

System Properties Comparison Couchbase vs. Sphinx vs. Splice Machine

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Editorial information provided by DB-Engines
NameCouchbase infoOriginally called Membase  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionJSON-based document store derived from CouchDB with a Memcached-compatible interfaceOpen source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument storeSearch engineRelational DBMS
Secondary database modelsKey-value store infooriginating from the former Membase product and supporting the Memcached protocol
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.33
Rank#26  Overall
#4  Document stores
Score6.34
Rank#60  Overall
#7  Search engines
Score0.79
Rank#190  Overall
#93  Relational DBMS
Websitewww.couchbase.comsphinxsearch.comsplicemachine.com
Technical documentationdocs.couchbase.comsphinxsearch.com/­docsdoc.splicemachine.com
DeveloperCouchbase, Inc.Sphinx Technologies Inc.Splice Machine
Initial release201120012014
Current releaseServer: 6.5, January 2020; Mobile: 2.7, January 2020; Couchbase Autonomous Operator: 1.2, May 20193.2.1, January 20202.0
License infoCommercial or Open SourceOpen Source infoApache version 2; Commercial licenses also availableOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Couchbase Cloud: Deploy, manage, and operate Couchbase in a few clicks
Implementation languageC, C++, Go and ErlangC++Java
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyes infoString, Boolean, Numbernoyes
Secondary indexesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLDeclarative query language (N1QL) that extends ANSI SQL to JSON. First commercial implementation of SQL++.SQL-like query language (SphinxQL)yes
APIs and other access methodsNative language bindings for CRUD, Query, Search and Analytics APIsProprietary protocolJDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C
Clojure
ColdFusion
Erlang
Go
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresFunctions and timers in JavaScriptnoyes infoJava
Triggersyes infovia the TAP protocolnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infoincluding cross data center replication
Source-replica replication
noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infoselectable on a per-operation basis
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoEphemeral bucketsyes
User concepts infoAccess controlUser and Administrator separation with password-based and LDAP integrated AuthenticationnoAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Couchbase infoOriginally called MembaseSphinxSplice Machine
Specific characteristicsDeveloped as an alternative to traditionally inflexible relational databases, Couchbase...
» more
THE ONLY SCALE-OUT SQL RDBMS WITH BUILT-IN MACHINE LEARNING For data-rich, real-time...
» more
Competitive advantagesCouchbase was architected with several differentiated capabilities: Shared-nothing,...
» more
Operational Workloads: Full ACID support with high performance at scale Multi-row...
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Typical application scenariosCustomer 360 for user profile, session store and data aggregation (Comcast, Equifax,...
» more
New AI/ML and IoT Applications Data Warehouse Offloads Application Modernization...
» more
Key customersAmadeus, AT&T, BD (Becton, Dickinson and Company), Carrefour, Cisco, Comcast, Disney,...
» more
Market metricsNamed a leader in the Forrester Wave™: Big Data NoSQL, Q1 2019 Over 10M downloads...
» more
Licensing and pricing modelsThe Community Edition (CE) of Couchbase Server and Couchbase Mobile are available...
» more
Kubernetes Community Edition: https://hub.helm.sh/charts/splicemachine/splice-helm...
» more
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We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Couchbase infoOriginally called MembaseSphinxSplice Machine
DB-Engines blog posts

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