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DBMS > Faircom EDGE vs. Splice Machine vs. SQLite vs. Sqrrl

System Properties Comparison Faircom EDGE vs. Splice Machine vs. SQLite vs. Sqrrl

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Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonSplice Machine  Xexclude from comparisonSQLite  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkWidely used embeddable, in-process RDBMSAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#327  Overall
#48  Key-value stores
#148  Relational DBMS
Score0.79
Rank#195  Overall
#93  Relational DBMS
Score135.44
Rank#10  Overall
#7  Relational DBMS
Websitewww.faircom.com/­products/­faircomedge-iot-databasesplicemachine.comwww.sqlite.orgsqrrl.com
Technical documentationlearn.faircomcorp.com/­developers/­documentation_directorydoc.splicemachine.comwww.sqlite.org/­docs.html
DeveloperFairCom CorporationSplice MachineDwayne Richard HippAmazon infooriginally Sqrrl Data, Inc.
Initial release1979201420002012
Current releaseV3, October 20203.1, March 20213.38.5  (6 May 2022), May 2022
License infoCommercial or Open Sourcecommercial infoRestricted, free version availableOpen Source infoAGPL 3.0, commercial license availableOpen Source infoPublic Domaincommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++JavaCJava
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
OS X
Solaris
Windows
server-lessLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes infodynamic column typesschema-free
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyesyes infonot rigid because of 'dynamic typing' concept.yes
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.yesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infoANSI SQL queriesyesyes infoSQL-92 is not fully supportedno
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yes infoJavanono
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningShared Nothhing Auto-Sharding, Columnar PartitioningnoneSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsMulti-source replication
Source-replica replication
noneselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyes infowhen using SQLyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyes, multi-version concurrency control (MVCC)yes infovia file-system locksyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access rights for users, groups and roles according to SQL-standardnoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)
More information provided by the system vendor
Faircom EDGE infoformerly c-treeEDGESplice MachineSQLiteSqrrl
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