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DBMS > atoti vs. Databricks vs. Qdrant vs. RDFox

System Properties Comparison atoti vs. Databricks vs. Qdrant vs. RDFox

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDatabricks  Xexclude from comparisonQdrant  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A high-performance vector database with neural network or semantic-based matchingHigh performance knowledge graph and semantic reasoning engine
Primary database modelObject oriented DBMSDocument store
Relational DBMS
Vector DBMSGraph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#11  Object oriented DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.28
Rank#167  Overall
#8  Vector DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websiteatoti.iowww.databricks.comgithub.com/­qdrant/­qdrant
qdrant.tech
www.oxfordsemantic.tech
Technical documentationdocs.atoti.iodocs.databricks.comqdrant.tech/­documentationdocs.oxfordsemantic.tech
DeveloperActiveViamDatabricksQdrantOxford Semantic Technologies
Initial release201320212017
Current release6.0, Septermber 2022
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaRustC++
Server operating systemshostedDocker
Linux
macOS
Windows
Linux
macOS
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyes infoRDF schemas
Typing infopredefined data types such as float or dateNumbers, 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.yesno
Secondary indexesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLMultidimensional Expressions (MDX)with Databricks SQLnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
RESTful HTTP API
SPARQL 1.1
Supported programming languagesPython
R
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C
Java
Server-side scripts infoStored proceduresPythonuser defined functions and aggregates
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesCollection-level replicationreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency, tunable consistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
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)yesyes
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.yesnoyesyes
User concepts infoAccess controlKey-based authenticationRoles, resources, and access types
More information provided by the system vendor
atotiDatabricksQdrantRDFox
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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