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DBMS > Databricks vs. EXASOL vs. Hive vs. Qdrant vs. SiriDB

System Properties Comparison Databricks vs. EXASOL vs. Hive vs. Qdrant vs. SiriDB

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEXASOL  Xexclude from comparisonHive  Xexclude from comparisonQdrant  Xexclude from comparisonSiriDB  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.High-performance, in-memory, MPP database specifically designed for in-memory analytics.data warehouse software for querying and managing large distributed datasets, built on HadoopA high-performance vector database with neural network or semantic-based matchingOpen Source Time Series DBMS
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSVector DBMSTime Series 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
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score1.28
Rank#167  Overall
#6  Vector DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Websitewww.databricks.comwww.exasol.comhive.apache.orggithub.com/­qdrant/­qdrant
qdrant.tech
siridb.com
Technical documentationdocs.databricks.comwww.exasol.com/­resourcescwiki.apache.org/­confluence/­display/­Hive/­Homeqdrant.tech/­documentationdocs.siridb.com
DeveloperDatabricksExasolApache Software Foundation infoinitially developed by FacebookQdrantCesbit
Initial release20132000201220212017
Current release3.1.3, April 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaRustC
Server operating systemshostedAll OS with a Java VMDocker
Linux
macOS
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesNumbers, Strings, Geo, Booleanyes infoNumeric data
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.yesnonono
Secondary indexesyesyesyesyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLwith Databricks SQLyesSQL-like DML and DDL statementsnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
Thrift
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
HTTP API
Supported programming languagesPython
R
Scala
Java
Lua
Python
R
C++
Java
PHP
Python
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsyes infouser defined functions and integration of map-reduceno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorCollection-level replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and rolesKey-based authenticationsimple rights management via user accounts
More information provided by the system vendor
DatabricksEXASOLHiveQdrantSiriDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksEXASOLHiveQdrantSiriDB
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