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DBMS > atoti vs. MonetDB vs. Qdrant vs. Splice Machine

System Properties Comparison atoti vs. MonetDB vs. Qdrant vs. Splice Machine

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonMonetDB  Xexclude from comparisonQdrant  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A relational database management system that stores data in columnsA high-performance vector database with neural network or semantic-based matchingOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelObject oriented DBMSRelational DBMSVector DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.59
Rank#242  Overall
#10  Object oriented DBMS
Score1.72
Rank#148  Overall
#68  Relational DBMS
Score1.23
Rank#171  Overall
#6  Vector DBMS
Score0.54
Rank#255  Overall
#116  Relational DBMS
Websiteatoti.iowww.monetdb.orggithub.com/­qdrant/­qdrant
qdrant.tech
splicemachine.com
Technical documentationdocs.atoti.iowww.monetdb.org/­Documentationqdrant.tech/­documentationsplicemachine.com/­how-it-works
DeveloperActiveViamMonetDB BVQdrantSplice Machine
Initial release200420212014
Current releaseDec2023 (11.49), December 20233.1, March 2021
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoMozilla Public License 2.0Open Source infoApache Version 2.0Open Source infoAGPL 3.0, commercial license available
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 languageJavaCRustJava
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesNumbers, Strings, Geo, Booleanyes
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.no
Secondary indexesyesyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yes infoSQL 2003 with some extensionsnoyes
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresPythonyes, in SQL, C, Ryes infoJava
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding via remote tablesShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusCollection-level replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes, multi-version concurrency control (MVCC)
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.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardKey-based authenticationAccess rights for users, groups and roles according to SQL-standard

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atotiMonetDBQdrantSplice Machine
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