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DBMS > FatDB vs. LMDB vs. RethinkDB vs. Splice Machine vs. SwayDB

System Properties Comparison FatDB vs. LMDB vs. RethinkDB vs. Splice Machine vs. SwayDB

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonLMDB  Xexclude from comparisonRethinkDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonSwayDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.A high performant, light-weight, embedded key-value database libraryDBMS for the Web with a mechanism to push updated query results to applications in realtime.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelDocument store
Key-value store
Key-value storeDocument storeRelational DBMSKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.09
Rank#121  Overall
#20  Key-value stores
Score2.66
Rank#107  Overall
#20  Document stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Websitewww.symas.com/­symas-embedded-database-lmdbrethinkdb.comsplicemachine.comswaydb.simer.au
Technical documentationwww.lmdb.tech/­docrethinkdb.com/­docssplicemachine.com/­how-it-works
DeveloperFatCloudSymasThe Linux Foundation infosince July 2017Splice MachineSimer Plaha
Initial release20122011200920142018
Current release0.9.32, January 20242.4.1, August 20203.1, March 2021
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache Version 2Open Source infoAGPL 3.0, commercial license availableOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#CC++JavaScala
Server operating systemsWindowsLinux
Unix
Windows
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes infostring, binary, float, bool, date, geometryyesno
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.nonono
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLno infoVia inetgration in SQL Servernonoyesno
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC#.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
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Java
Kotlin
Scala
Server-side scripts infoStored proceduresyes infovia applicationsnoyes infoJavano
Triggersyes infovia applicationsnoClient-side triggers through changefeedsyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding inforange basedShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneSource-replica replicationMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic single-document operationsACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsnoyes infousers and table-level permissionsAccess rights for users, groups and roles according to SQL-standardno

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More resources
FatDBLMDBRethinkDBSplice MachineSwayDB
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