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DBMS > Databricks vs. H2 vs. MonetDB vs. QuestDB

System Properties Comparison Databricks vs. H2 vs. MonetDB vs. QuestDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonH2  Xexclude from comparisonMonetDB  Xexclude from comparisonQuestDB  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.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A relational database management system that stores data in columnsA high performance open source SQL database for time series data
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Relational 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
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Websitewww.databricks.comwww.h2database.comwww.monetdb.orgquestdb.io
Technical documentationdocs.databricks.comwww.h2database.com/­html/­main.htmlwww.monetdb.org/­Documentationquestdb.io/­docs
DeveloperDatabricksThomas MuellerMonetDB BVQuestDB Technology Inc
Initial release2013200520042014
Current release2.2.220, July 2023Dec2023 (11.49), December 2023
License infoCommercial or Open SourcecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoMozilla Public License 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCJava (Zero-GC), C++, Rust
Server operating systemshostedAll OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesyesno
SQL infoSupport of SQLwith Databricks SQLyesyes infoSQL 2003 with some extensionsSQL with time-series extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesPython
R
Scala
JavaC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresuser defined functions and aggregatesJava Stored Procedures and User-Defined Functionsyes, in SQL, C, Rno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding via remote tableshorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesyesWith clustering: 2 database servers on different computers operate on identical copies of a databasenone infoSource-replica replication available in experimental statusSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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 infothrough memory mapped files
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksH2MonetDBQuestDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
Relational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
DatabricksH2MonetDBQuestDB
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