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DBMS > Datomic vs. Kingbase vs. LMDB vs. NSDb

System Properties Comparison Datomic vs. Kingbase vs. LMDB vs. NSDb

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonKingbase  Xexclude from comparisonLMDB  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.A high performant, light-weight, embedded key-value database libraryScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelRelational DBMSRelational DBMSKey-value storeTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitewww.datomic.comwww.kingbase.com.cnwww.symas.com/­symas-embedded-database-lmdbnsdb.io
Technical documentationdocs.datomic.comwww.lmdb.tech/­docnsdb.io/­Architecture
DeveloperCognitectBeiJing KINGBASE Information technologies inc.Symas
Initial release2012199920112017
Current release1.0.6735, June 2023V8.0, August 20210.9.32, January 2024
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC and JavaCJava, Scala
Server operating systemsAll OS with a Java VMLinux
Windows
Linux
Unix
Windows
Linux
macOS
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, string
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.noyesnono
Secondary indexesyesyesnoall fields are automatically indexed
SQL infoSupport of SQLnoStandard with numerous extensionsnoSQL-like query language
APIs and other access methodsRESTful HTTP APIADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
gRPC
HTTP REST
WebSocket
Supported programming languagesClojure
Java
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
Java
Scala
Server-side scripts infoStored proceduresyes infoTransaction Functionsuser defined functionsnono
TriggersBy using transaction functionsyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioning (by range, list and hash) and vertical partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardno

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More resources
DatomicKingbaseLMDBNSDb
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