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DBMS > DuckDB vs. RocksDB

System Properties Comparison DuckDB vs. RocksDB

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Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.02
Rank#93  Overall
#49  Relational DBMS
Score4.11
Rank#90  Overall
#13  Key-value stores
Websiteduckdb.orgrocksdb.org
Technical documentationduckdb.org/­docsgithub.com/­facebook/­rocksdb/­wiki
DeveloperFacebook, Inc.
Initial release20182013
Current release0.9, September 20238.8.1, November 2023
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemsserver-lessLinux
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesno
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.nono
Secondary indexesyesno
SQL infoSupport of SQLyesno
APIs and other access methodsCLI Client
JDBC
C++ API
Java API
Supported programming languagesC
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
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnono
Triggersno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnono

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3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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More resources
DuckDBRocksDB
Recent citations in the news

Spatial Data Management For GIS and Data Scientists
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