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DBMS > Databend vs. Faircom EDGE vs. OrigoDB vs. SpatiaLite vs. Splice Machine

System Properties Comparison Databend vs. Faircom EDGE vs. OrigoDB vs. SpatiaLite vs. Splice Machine

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonOrigoDB  Xexclude from comparisonSpatiaLite  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA fully ACID in-memory object graph databaseSpatial extension of SQLiteOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSKey-value store
Relational DBMS
Document store
Object oriented DBMS
Spatial DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.faircom.com/­products/­faircom-edgeorigodb.comwww.gaia-gis.it/­fossil/­libspatialite/­indexsplicemachine.com
Technical documentationdocs.databend.comdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlorigodb.com/­docswww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlsplicemachine.com/­how-it-works
DeveloperDatabend LabsFairCom CorporationRobert Friberg et alAlessandro FurieriSplice Machine
Initial release202119792009 infounder the name LiveDB20082014
Current release1.0.59, April 2023V3, October 20205.0.0, August 20203.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoRestricted, free version availableOpen SourceOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustANSI C, C++C#C++Java
Server operating systemshosted
Linux
macOS
Android
Linux infoARM, x86
Raspbian
Windows
Linux
Windows
server-lessLinux
OS X
Solaris
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL TypesUser defined using .NET types and collectionsyesyes
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.noyesno infocan be achieved using .NETno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLyesyes infoANSI SQL queriesnoyesyes
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
JDBC
Native Spark Datasource
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.NetC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++yesnoyes infoJava
Triggersnoyesyes infoDomain Eventsyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning infoCustomizable business rules for partitioninghorizontal partitioning infoclient side managed; servers are not synchronizednoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoSynchronous and asynchronous realtime replication based on transaction logsSource-replica replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infowhen using SQLdepending on modelyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Role based authorizationnoAccess rights for users, groups and roles according to SQL-standard

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More resources
DatabendFaircom EDGE infoformerly c-treeEDGEOrigoDBSpatiaLiteSplice Machine
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