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DBMS > atoti vs. Qdrant vs. searchxml vs. Spark SQL

System Properties Comparison atoti vs. Qdrant vs. searchxml vs. Spark SQL

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonQdrant  Xexclude from comparisonsearchxml  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A high-performance vector database with neural network or semantic-based matchingDBMS for structured and unstructured content wrapped with an application serverSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelObject oriented DBMSVector DBMSNative XML DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score1.28
Rank#167  Overall
#6  Vector DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websiteatoti.iogithub.com/­qdrant/­qdrant
qdrant.tech
www.searchxml.net/­category/­productsspark.apache.org/­sql
Technical documentationdocs.atoti.ioqdrant.tech/­documentationwww.searchxml.net/­support/­handoutsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperActiveViamQdrantinformationpartners gmbhApache Software Foundation
Initial release202120152014
Current release1.03.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaRustC++Scala
Server operating systemsDocker
Linux
macOS
Windows
WindowsLinux
OS X
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateNumbers, Strings, Geo, Booleanyesyes
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.noyesno
Secondary indexesyes infoKeywords, numberic ranges, geo, full-textyesno
SQL infoSupport of SQLMultidimensional Expressions (MDX)nonoSQL-like DML and DDL statements
APIs and other access methodsgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
RESTful HTTP API
WebDAV
XQuery
XSLT
JDBC
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C++ infomost other programming languages supported via APIsJava
Python
R
Scala
Server-side scripts infoStored proceduresPythonyes infoon the application serverno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesCollection-level replicationyes infosychronisation to multiple collectionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlKey-based authenticationDomain, group and role-based access control at the document level and for application servicesno

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More resources
atotiQdrantsearchxmlSpark SQL
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