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DBMS > atoti vs. Faircom EDGE vs. Graph Engine vs. Microsoft Azure Synapse Analytics vs. PostGIS

System Properties Comparison atoti vs. Faircom EDGE vs. Graph Engine vs. Microsoft Azure Synapse Analytics vs. PostGIS

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPostGIS  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerSpatial extension of PostgreSQL
Primary database modelObject oriented DBMSKey-value store
Relational DBMS
Graph DBMS
Key-value store
Relational DBMSSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Websiteatoti.iowww.faircom.com/­products/­faircom-edgewww.graphengine.ioazure.microsoft.com/­services/­synapse-analyticspostgis.net
Technical documentationdocs.atoti.iodocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.graphengine.io/­docs/­manualdocs.microsoft.com/­azure/­synapse-analyticspostgis.net/­documentation
DeveloperActiveViamFairCom CorporationMicrosoftMicrosoft
Initial release1979201020162005
Current releaseV3, October 20203.4.2, February 2024
License infoCommercial or Open Sourcecommercial infofree versions availablecommercial infoRestricted, free version availableOpen Source infoMIT LicensecommercialOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaANSI C, C++.NET and CC++C
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
.NEThosted
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyesyesyes
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.yesnonoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yes infoANSI SQL queriesnoyesyes
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#
C++
F#
Visual Basic
C#
Java
PHP
Server-side scripts infoStored proceduresPythonyes info.Net, JavaScript, C/C++yesTransact SQLuser defined functions
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningFile partitioning infoCustomizable business rules for partitioninghorizontal partitioningSharding, horizontal partitioningyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsyesyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infowhen using SQLnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes infoacross SQL and NoSQLyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.yesyes infobased on PostgreSQL

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More resources
atotiFaircom EDGE infoformerly c-treeEDGEGraph Engine infoformer name: TrinityMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePostGIS
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