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DBMS > Machbase Neo vs. Qdrant vs. Spark SQL vs. Sphinx vs. YTsaurus

System Properties Comparison Machbase Neo vs. Qdrant vs. Spark SQL vs. Sphinx vs. YTsaurus

Editorial information provided by DB-Engines
NameMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonQdrant  Xexclude from comparisonSpark SQL  Xexclude from comparisonSphinx  Xexclude from comparisonYTsaurus  Xexclude from comparison
DescriptionTimeSeries DBMS for AIoT and BigDataA high-performance vector database with neural network or semantic-based matchingSpark SQL is a component on top of 'Spark Core' for structured data processingOpen source search engine for searching in data from different sources, e.g. relational databasesYTsaurus is an open source platform for distributed storage and processing.
Primary database modelTime Series DBMSVector DBMSRelational DBMSSearch engineDocument store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.11
Rank#340  Overall
#45  Document stores
#50  Key-value stores
Websitemachbase.comgithub.com/­qdrant/­qdrant
qdrant.tech
spark.apache.org/­sqlsphinxsearch.comytsaurus.tech
Technical documentationmachbase.com/­dbmsqdrant.tech/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsphinxsearch.com/­docsytsaurus.tech/­docs/­en
DeveloperMachbaseQdrantApache Software FoundationSphinx Technologies Inc.Yandex
Initial release20132021201420012023
Current releaseV8.0, August 20233.5.0 ( 2.13), September 20233.5.1, February 2023
License infoCommercial or Open Sourcecommercial infofree test version availableOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCRustScalaC++C++
Server operating systemsLinux
macOS
Windows
Docker
Linux
macOS
Windows
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Ubuntu
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesNumbers, Strings, Geo, Booleanyesnoyes
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.nononono
Secondary indexesyesyes infoKeywords, numberic ranges, geo, full-textnoyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languagenoSQL-like DML and DDL statementsSQL-like query language (SphinxQL)YQL, an SQL-based language, is supported
APIs and other access methodsgRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Java
Python
R
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, utilizing Spark CoreSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorCollection-level replicationnonenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency, tunable consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentnoyesyesyes 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 infovolatile and lookup tableyesno
User concepts infoAccess controlsimple password-based access controlKey-based authenticationnonoAccess Control Lists

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More resources
Machbase Neo infoFormer name was InfinifluxQdrantSpark SQLSphinxYTsaurus
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