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DBMS > Hyprcubd vs. Memcached vs. ScyllaDB vs. Sphinx

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

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Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonMemcached  Xexclude from comparisonScyllaDB  Xexclude from comparisonSphinx  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionServerless Time Series DBMSIn-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 databases
Primary database modelTime Series DBMSKey-value storeWide column storeSearch engine
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.42
Rank#32  Overall
#4  Key-value stores
Score4.75
Rank#68  Overall
#5  Wide column stores
Score5.98
Rank#56  Overall
#5  Search engines
Websitehyprcubd.com (offline)www.memcached.orgwww.scylladb.comsphinxsearch.com
Technical documentationgithub.com/­memcached/­memcached/­wikidocs.scylladb.comsphinxsearch.com/­docs
DeveloperHyprcubd, Inc.Danga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalScyllaDBSphinx Technologies Inc.
Initial release200320152001
Current release1.6.25, March 2024ScyllaDB Open Source 5.4.1, January 20243.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoBSD licenseOpen Source infoOpen Source (AGPL), commercial license availableOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageGoCC++C++
Server operating systemshostedFreeBSD
Linux
OS X
Unix
Windows
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringnoyesno
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 indexesnonoyes infocluster global secondary indicesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languagenoSQL-like DML and DDL statements (CQL)SQL-like query language (SphinxQL)
APIs and other access methodsgRPC (https)Proprietary 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
Server-side scripts infoStored proceduresnonoyes, Luano
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
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 possiblenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono infoAtomicity and isolation are supported for single operationsno
Concurrency infoSupport for concurrent manipulation of datanoyesyesyes
Durability infoSupport for making data persistentyesnoyesyes 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.noyes infoin-memory tables
User concepts infoAccess controltoken accessyes infousing SASL (Simple Authentication and Security Layer) protocolAccess rights for users can be defined per objectno
More information provided by the system vendor
HyprcubdMemcachedScyllaDBSphinx
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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HyprcubdMemcachedScyllaDBSphinx
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