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DBMS > Apache Impala vs. Databricks vs. MonetDB vs. Qdrant

System Properties Comparison Apache Impala vs. Databricks vs. MonetDB vs. Qdrant

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDatabricks  Xexclude from comparisonMonetDB  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopThe 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 relational database management system that stores data in columnsA high-performance vector database with neural network or semantic-based matching
Primary database modelRelational DBMSDocument store
Relational DBMS
Relational DBMSVector DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score1.72
Rank#135  Overall
#62  Relational DBMS
Score1.53
Rank#145  Overall
#7  Vector DBMS
Websiteimpala.apache.orgwww.databricks.comwww.monetdb.orggithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationimpala.apache.org/­impala-docs.htmldocs.databricks.comwww.monetdb.org/­Documentationqdrant.tech/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaDatabricksMonetDB BVQdrant
Initial release2013201320042021
Current release4.1.0, June 2022Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoMozilla Public License 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CRust
Server operating systemsLinuxhostedFreeBSD
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesschema-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.noyesno
Secondary indexesyesyesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLSQL-like DML and DDL statementswith Databricks SQLyes infoSQL 2003 with some extensionsno
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
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 languagesAll languages supporting JDBC/ODBCPython
R
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functions and aggregatesyes, in SQL, C, R
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesnone infoSource-replica replication available in experimental statusCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardKey-based authentication
More information provided by the system vendor
Apache ImpalaDatabricksMonetDBQdrant
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Apache ImpalaDatabricksMonetDBQdrant
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