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DBMS > Databricks vs. DuckDB vs. LevelDB vs. SpatiaLite

System Properties Comparison Databricks vs. DuckDB vs. LevelDB vs. SpatiaLite

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDuckDB  Xexclude from comparisonLevelDB  Xexclude from comparisonSpatiaLite  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.An embeddable, in-process, column-oriented SQL OLAP RDBMSEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesSpatial extension of SQLite
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value storeSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score4.57
Rank#74  Overall
#40  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websitewww.databricks.comduckdb.orggithub.com/­google/­leveldbwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdocs.databricks.comduckdb.org/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperDatabricksGoogleAlessandro Furieri
Initial release2013201820112008
Current release0.10, February 20241.23, February 20215.0.0, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoBSDOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++
Server operating systemshostedserver-lessIllumos
Linux
OS X
Windows
server-less
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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 indexesyesyesnoyes
SQL infoSupport of SQLwith Databricks SQLyesnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
Supported programming languagesPython
R
Scala
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresuser defined functions and aggregatesnonono
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenonenone
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 integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnonono
More information provided by the system vendor
DatabricksDuckDBLevelDBSpatiaLite
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksDuckDBLevelDBSpatiaLite
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