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DBMS > Faircom EDGE vs. FatDB vs. Ignite vs. XTDB

System Properties Comparison Faircom EDGE vs. FatDB vs. Ignite vs. XTDB

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Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonFatDB  Xexclude from comparisonIgnite  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA .NET NoSQL DBMS that can integrate with and extend SQL Server.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelKey-value store
Relational DBMS
Document store
Key-value store
Key-value store
Relational DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitewww.faircom.com/­products/­faircom-edgeignite.apache.orggithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlapacheignite.readme.io/­docswww.xtdb.com/­docs
DeveloperFairCom CorporationFatCloudApache Software FoundationJuxt Ltd.
Initial release1979201220152019
Current releaseV3, October 2020Apache Ignite 2.61.19, September 2021
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialOpen Source infoApache 2.0Open Source infoMIT License
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++C#C++, Java, .NetClojure
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
WindowsLinux
OS X
Solaris
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesschema-free
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyesyesyes, extensible-data-notation format
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.yesyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infoANSI SQL queriesno infoVia inetgration in SQL ServerANSI-99 for query and DML statements, subset of DDLlimited SQL, making use of Apache Calcite
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP REST
JDBC
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#C#
C++
Java
PHP
Python
Ruby
Scala
Clojure
Java
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yes infovia applicationsyes (compute grid and cache interceptors can be used instead)no
Triggersyesyes infovia applicationsyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsselectable replication factoryes (replicated cache)yes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infowhen using SQLnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.no infoCan implement custom security layer via applicationsSecurity Hooks for custom implementations

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More resources
Faircom EDGE infoformerly c-treeEDGEFatDBIgniteXTDB infoformerly named Crux
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