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DBMS > Databricks vs. OrigoDB vs. Qdrant vs. XTDB

System Properties Comparison Databricks vs. OrigoDB vs. Qdrant vs. XTDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonOrigoDB  Xexclude from comparisonQdrant  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionThe 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 fully ACID in-memory object graph databaseA high-performance vector database with neural network or semantic-based matchingA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument store
Relational DBMS
Document store
Object oriented DBMS
Vector DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitewww.databricks.comorigodb.comgithub.com/­qdrant/­qdrant
qdrant.tech
github.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.databricks.comorigodb.com/­docsqdrant.tech/­documentationwww.xtdb.com/­docs
DeveloperDatabricksRobert Friberg et alQdrantJuxt Ltd.
Initial release20132009 infounder the name LiveDB20212019
Current release1.19, September 2021
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache Version 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#RustClojure
Server operating systemshostedLinux
Windows
Docker
Linux
macOS
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-free
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsNumbers, Strings, Geo, Booleanyes, extensible-data-notation format
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 infocan be achieved using .NETnono
Secondary indexesyesyesyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLwith Databricks SQLnonolimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
HTTP REST
JDBC
Supported programming languagesPython
R
Scala
.Net.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Clojure
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesno
Triggersyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizedShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationCollection-level replicationyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritydepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlRole based authorizationKey-based authentication
More information provided by the system vendor
DatabricksOrigoDBQdrantXTDB infoformerly named Crux
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksOrigoDBQdrantXTDB infoformerly named Crux
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