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DBMS > atoti vs. DuckDB vs. Hyprcubd vs. Sphinx

System Properties Comparison atoti vs. DuckDB vs. Hyprcubd vs. Sphinx

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDuckDB  Xexclude from comparisonHyprcubd  Xexclude from comparisonSphinx  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.An embeddable, in-process, column-oriented SQL OLAP RDBMSServerless Time Series DBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelObject oriented DBMSRelational DBMSTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websiteatoti.ioduckdb.orghyprcubd.com (offline)sphinxsearch.com
Technical documentationdocs.atoti.ioduckdb.org/­docssphinxsearch.com/­docs
DeveloperActiveViamHyprcubd, Inc.Sphinx Technologies Inc.
Initial release20182001
Current release1.0.0, June 20243.5.1, February 2023
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoMIT LicensecommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++GoC++
Server operating systemsserver-lesshostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringno
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 indexesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
gRPC (https)Proprietary protocol
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
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresPythonnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)noyes
Durability infoSupport for making data persistentyesyesyes 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.yesyesno
User concepts infoAccess controlnotoken accessno

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More resources
atotiDuckDBHyprcubdSphinx
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