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DBMS > DuckDB vs. Hyprcubd vs. Memcached vs. Sphinx vs. Splice Machine

System Properties Comparison DuckDB vs. Hyprcubd vs. Memcached vs. Sphinx vs. Splice Machine

Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonHyprcubd  Xexclude from comparisonMemcached  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSServerless Time Series DBMSIn-memory key-value store, originally intended for cachingOpen 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 modelRelational DBMSTime Series DBMSKey-value storeSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.57
Rank#74  Overall
#40  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score5.98
Rank#56  Overall
#5  Search engines
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websiteduckdb.orghyprcubd.com (offline)www.memcached.orgsphinxsearch.comsplicemachine.com
Technical documentationduckdb.org/­docsgithub.com/­memcached/­memcached/­wikisphinxsearch.com/­docssplicemachine.com/­how-it-works
DeveloperHyprcubd, Inc.Danga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalSphinx Technologies Inc.Splice Machine
Initial release2018200320012014
Current release0.10, February 20241.6.25, March 20243.5.1, February 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoBSD licenseOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license 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 languageC++GoCC++Java
Server operating systemsserver-lesshostedFreeBSD
Linux
OS X
Unix
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringnonoyes
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 indexesyesnonoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyesSQL-like query languagenoSQL-like query language (SphinxQL)yes
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
gRPC (https)Proprietary protocolProprietary protocolJDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
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 proceduresnonononoyes infoJava
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding 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 nodesnonenone infoRepcached, a Memcached patch, provides this functionallitynoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)noyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesnoyes 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.yesnoyes
User concepts infoAccess controlnotoken accessyes infousing SASL (Simple Authentication and Security Layer) protocolnoAccess rights for users, groups and roles according to SQL-standard

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More resources
DuckDBHyprcubdMemcachedSphinxSplice Machine
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