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DBMS > DuckDB vs. NSDb vs. RocksDB vs. Tkrzw

System Properties Comparison DuckDB vs. NSDb vs. RocksDB vs. Tkrzw

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Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonNSDb  Xexclude from comparisonRocksDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesEmbeddable persistent key-value store optimized for fast storage (flash and RAM)A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSTime Series DBMSKey-value storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.61
Rank#60  Overall
#34  Relational DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score2.84
Rank#97  Overall
#16  Key-value stores
Score0.00
Rank#385  Overall
#61  Key-value stores
Websiteduckdb.orgnsdb.iorocksdb.orgdbmx.net/­tkrzw
Technical documentationduckdb.org/­docsnsdb.io/­Architecturegithub.com/­facebook/­rocksdb/­wiki
DeveloperFacebook, Inc.Mikio Hirabayashi
Initial release2018201720132020
Current release1.0.0, June 20249.4.0, June 20240.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2.0Open Source infoBSDOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, ScalaC++C++
Server operating systemsserver-lessLinux
macOS
LinuxLinux
macOS
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringnono
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.nononono
Secondary indexesyesall fields are automatically indexedno
SQL infoSupport of SQLyesSQL-like query languagenono
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
gRPC
HTTP REST
WebSocket
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
Java
Scala
C
C++
Go
Java
Perl
Python
Ruby
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnononono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infousing specific database classes
User concepts infoAccess controlnonono

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More resources
DuckDBNSDbRocksDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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My First Billion (of Rows) in DuckDB
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