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DBMS > Databricks vs. Geode vs. MonetDB vs. Qdrant

System Properties Comparison Databricks vs. Geode vs. MonetDB vs. Qdrant

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGeode  Xexclude from comparisonMonetDB  Xexclude from comparisonQdrant  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.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA relational database management system that stores data in columnsA high-performance vector database with neural network or semantic-based matching
Primary database modelDocument store
Relational DBMS
Key-value storeRelational DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score1.28
Rank#167  Overall
#8  Vector DBMS
Websitewww.databricks.comgeode.apache.orgwww.monetdb.orggithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.databricks.comgeode.apache.org/­docswww.monetdb.org/­Documentationqdrant.tech/­documentation
DeveloperDatabricksOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.MonetDB BVQdrant
Initial release2013200220042021
Current release1.1, February 2017Dec2023 (11.49), December 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoMozilla Public License 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCRust
Server operating systemshostedAll OS with a Java VM infothe JDK (8 or later) is also requiredFreeBSD
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesNumbers, Strings, Geo, Boolean
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.yesnono
Secondary indexesyesnoyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLwith Databricks SQLSQL-like query language (OQL)yes infoSQL 2003 with some extensionsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesPython
R
Scala
.Net
All JVM based languages
C++
Groovy
Java
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsyes, in SQL, C, R
Triggersyes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationnone infoSource-replica replication available in experimental statusCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights per client and object definablefine grained access rights according to SQL-standardKey-based authentication
More information provided by the system vendor
DatabricksGeodeMonetDBQdrant
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksGeodeMonetDBQdrant
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