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

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

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonQdrant  Xexclude from comparisonSpatiaLite  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 high-performance vector database with neural network or semantic-based matchingSpatial extension of SQLiteOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelObject oriented DBMSVector DBMSSpatial DBMSRelational DBMS
Secondary database modelsRelational 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
#7  Vector DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websiteatoti.iogithub.com/­qdrant/­qdrant
qdrant.tech
www.gaia-gis.it/­fossil/­libspatialite/­indexsplicemachine.com
Technical documentationdocs.atoti.ioqdrant.tech/­documentationwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlsplicemachine.com/­how-it-works
DeveloperActiveViamQdrantAlessandro FurieriSplice Machine
Initial release202120082014
Current release5.0.0, August 20203.1, March 2021
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache Version 2.0Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open 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 languageJavaRustC++Java
Server operating systemsDocker
Linux
macOS
Windows
server-lessLinux
OS X
Solaris
Windows
Data schemeschema-freeyesyes
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.nono
Secondary indexesyes infoKeywords, numberic ranges, geo, full-textyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)noyesyes
APIs and other access methodsgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresPythonnoyes infoJava
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesCollection-level replicationnoneMulti-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.yesyesyesyes
User concepts infoAccess controlKey-based authenticationnoAccess rights for users, groups and roles according to SQL-standard

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More resources
atotiQdrantSpatiaLiteSplice Machine
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