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DBMS > Faircom DB vs. Fauna vs. LMDB vs. Splice Machine vs. VelocityDB

System Properties Comparison Faircom DB vs. Fauna vs. LMDB vs. Splice Machine vs. VelocityDB

Editorial information provided by DB-Engines
NameFaircom DB infoformerly c-treeACE  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonLMDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Fauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.A high performant, light-weight, embedded key-value database libraryOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelKey-value store
Relational DBMS
Document store
Graph DBMS
Relational DBMS
Time Series DBMS
Key-value storeRelational DBMSGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#318  Overall
#48  Key-value stores
#141  Relational DBMS
Score1.52
Rank#153  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitewww.faircom.com/­products/­faircom-dbfauna.comwww.symas.com/­symas-embedded-database-lmdbsplicemachine.comvelocitydb.com
Technical documentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.fauna.comwww.lmdb.tech/­docsplicemachine.com/­how-it-worksvelocitydb.com/­UserGuide
DeveloperFairCom CorporationFauna, Inc.SymasSplice MachineVelocityDB Inc
Initial release19792014201120142011
Current releaseV12, November 20200.9.32, January 20243.1, March 20217.x
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialOpen SourceOpen Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++ScalaCJavaC#
Server operating systemsAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
hostedLinux
Unix
Windows
Linux
OS X
Solaris
Windows
Any that supports .NET
Data schemeschema free, schema optional, schema required, partial schema,schema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes, ANSI SQL Types, JSON, typed binary structuresnoyesyes
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 indexesyesyesnoyesyes
SQL infoSupport of SQLyes, ANSI SQL with proprietary extensionsnonoyesno
APIs and other access methodsADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
RESTful HTTP APIJDBC
Native Spark Datasource
ODBC
.Net
Supported programming languages.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.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#
C++
Java
JavaScript (Node.js)
Python
R
Scala
.Net
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++user defined functionsnoyes infoJavano
TriggersyesnonoyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioninghorizontal partitioning infoconsistent hashingnoneShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Multi-source replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datatunable from ACID to Eventually ConsistentACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentYes, tunable from durable to delayed durability to in-memoryyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyesyes
User concepts infoAccess controlFine grained access rights according to SQL-standard with additional protections for filesIdentity management, authentication, and access controlnoAccess rights for users, groups and roles according to SQL-standardBased on Windows Authentication

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More resources
Faircom DB infoformerly c-treeACEFauna infopreviously named FaunaDBLMDBSplice MachineVelocityDB
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