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DBMS > Memcached vs. ScyllaDB vs. Sphinx vs. Tkrzw

System Properties Comparison Memcached vs. ScyllaDB vs. Sphinx vs. Tkrzw

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Editorial information provided by DB-Engines
NameMemcached  Xexclude from comparisonScyllaDB  Xexclude from comparisonSphinx  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionIn-memory key-value store, originally intended for cachingCassandra and DynamoDB compatible wide column storeOpen source search engine for searching in data from different sources, e.g. relational databasesA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelKey-value storeWide column storeSearch engineKey-value store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.84
Rank#32  Overall
#4  Key-value stores
Score4.15
Rank#69  Overall
#5  Wide column stores
Score5.97
Rank#56  Overall
#5  Search engines
Score0.00
Rank#385  Overall
#61  Key-value stores
Websitewww.memcached.orgwww.scylladb.comsphinxsearch.comdbmx.net/­tkrzw
Technical documentationgithub.com/­memcached/­memcached/­wikidocs.scylladb.comsphinxsearch.com/­docs
DeveloperDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalScyllaDBSphinx Technologies Inc.Mikio Hirabayashi
Initial release2003201520012020
Current release1.6.29, June 2024ScyllaDB Open Source 6.0.2, July 20243.5.1, February 20230.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoOpen Source (AGPL), commercial license availableOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageCC++C++C++
Server operating systemsFreeBSD
Linux
OS X
Unix
Windows
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesnono
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.nono
Secondary indexesnoyes infocluster global secondary indicesyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL-like DML and DDL statements (CQL)SQL-like query language (SphinxQL)no
APIs and other access methodsProprietary protocolProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Proprietary protocol
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoyes, Luanono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoRepcached, a Memcached patch, provides this functionallityselectable replication factor infoRepresentation of geographical distribution of servers is possiblenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentnoyesyes 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 infoin-memory tablesyes infousing specific database classes
User concepts infoAccess controlyes infousing SASL (Simple Authentication and Security Layer) protocolAccess rights for users can be defined per objectnono
More information provided by the system vendor
MemcachedScyllaDBSphinxTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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MemcachedScyllaDBSphinxTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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