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DBMS > Aerospike vs. Amazon Redshift vs. Apache Phoenix vs. Couchbase vs. Sphinx

System Properties Comparison Aerospike vs. Amazon Redshift vs. Apache Phoenix vs. Couchbase vs. Sphinx

Editorial information provided by DB-Engines
NameAerospike infopreviously called Citrusleaf  Xexclude from comparisonAmazon Redshift  Xexclude from comparisonApache Phoenix  Xexclude from comparisonCouchbase infoOriginally called Membase  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionFlash-optimized In-memory NoSQL DatabaseLarge scale data warehouse service for use with business intelligence toolsA scale-out RDBMS with evolutionary schema built on Apache HBaseA distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile databaseOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument store
Graph DBMS infoleveraging Apache Tinkerpop
Key-value store
Spatial DBMS
Relational DBMSRelational DBMSDocument storeSearch engine
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
Score5.78
Rank#61  Overall
#11  Document stores
#3  Graph DBMS
#7  Key-value stores
#2  Spatial DBMS
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score17.30
Rank#36  Overall
#5  Document stores
Score5.98
Rank#56  Overall
#5  Search engines
Websiteaerospike.comaws.amazon.com/­redshiftphoenix.apache.orgwww.couchbase.comsphinxsearch.com
Technical documentationdocs.aerospike.comdocs.aws.amazon.com/­redshiftphoenix.apache.orgdocs.couchbase.comsphinxsearch.com/­docs
Social network pagesLinkedInTwitterFacebookYouTube
DeveloperAerospikeAmazon (based on PostgreSQL)Apache Software FoundationCouchbase, Inc.Sphinx Technologies Inc.
Initial release20122012201420112001
Current release7.0, November 20235.0-HBase2, July 2018 and 4.15-HBase1, December 2019Server: 7.2, June 2023; Mobile: 3.1, March 2022; Couchbase Capella (DBaaS), June 20233.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache and AGPL Licenses; open sourced in June 2014; commercial Enterprise Edition availablecommercialOpen Source infoApache Version 2.0Open Source infoBusiness Source License (BSL 1.1); Commercial licenses also availableOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCCJavaC, C++, Go and ErlangC++
Server operating systemsLinuxhostedLinux
Unix
Windows
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesyes infolate-bound, schema-on-read capabilitiesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonono
Secondary indexesyesrestrictedyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoyes infodoes not fully support an SQL-standardyesSQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use casesSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
Proprietary protocol
TinkerPop Gremlin
JDBC
ODBC
JDBCCLI Client
HTTP REST
Kafka Connector
Native language bindings for CRUD, Query, Search and Analytics APIs
Spark Connector
Spring Data
Proprietary protocol
Supported programming languages.Net
C
C#
C++
Erlang
Go
Java
JavaScript (Node.js)
Lua
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBCC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
Go
Java
JavaScript infoNode.js
Kotlin
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functions infowith Luauser defined functions infoin Pythonuser defined functionsFunctions and timers in JavaScript and UDFs in Java, Python, SQL++no
Triggersnononoyes infovia the TAP protocolno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingAutomatic ShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replication
Source-replica replication
Multi-source replication infoincluding cross data center replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoAerospike Aggregation Framework is similar to Map/ReducenoHadoop integrationyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency in cross-datacenter configuration and Immediate Consistency in local cluster configurationImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency infoselectable on a per-operation basis
Foreign keys infoReferential integritynoyes infoinformational only, not enforced by the systemnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of operationsACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infoEphemeral buckets
User concepts infoAccess controlAccess rights for users and roles infowith Enterprise Edition onlyfine grained access rights according to SQL-standardAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyUser and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control.no
More information provided by the system vendor
Aerospike infopreviously called CitrusleafAmazon RedshiftApache PhoenixCouchbase infoOriginally called MembaseSphinx
Specific characteristicsAerospike is an enterprise-class, NoSQL database solution delivering predictable...
» more
Competitive advantagesOptimized for use with SSDs (solid-state hard drives) Scales horizontally and vertically...
» more
Typical application scenariosAerospike excels in mission-critical applications that have mixed read/write workloads...
» more
Key customersNielsen, Williams-Sonoma, Inmobi, AppNexus, Telco (confidential), Financial Services...
» more
Market metricsAerospike's combination of speed, scalability, and reliability delivers 10x performance...
» more
Licensing and pricing modelsSubscription-based Enterprise Edition and free, open-source Community Edition
» more
News

New Aerospike Release Lets Enterprises Consolidate Expensive Legacy Cache And Database Platforms
15 May 2024

Aerospike Recognized by Independent Research Firm Among Notable Vendors in Vector Databases Report
7 May 2024

Aerospike Closes $109M in Growth Capital from Sumeru Equity Partners
4 April 2024

Aerospike Achieves the new AWS Advertising and Marketing Technology Competency
30 November 2023

Aerospike Showcases New Levels of Database Performance, Price, and Sustainability on Graviton3 at AWS re:Invent
28 November 2023

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
Aerospike infopreviously called CitrusleafAmazon RedshiftApache PhoenixCouchbase infoOriginally called MembaseSphinx
DB-Engines blog posts

Evaluating Hbase and Aerospike Solutions for Real-time System of Record
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2 June 2014, Matthias Gelbmann

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The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

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