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DBMS > Citus vs. Faircom EDGE vs. Lovefield vs. Microsoft Azure Synapse Analytics vs. TigerGraph

System Properties Comparison Citus vs. Faircom EDGE vs. Lovefield vs. Microsoft Azure Synapse Analytics vs. TigerGraph

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsEmbeddable relational database for web apps written in pure JavaScriptElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitewww.citusdata.comwww.faircom.com/­products/­faircom-edgegoogle.github.io/­lovefieldazure.microsoft.com/­services/­synapse-analyticswww.tigergraph.com
Technical documentationdocs.citusdata.comdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.microsoft.com/­azure/­synapse-analyticsdocs.tigergraph.com
DeveloperFairCom CorporationGoogleMicrosoft
Initial release20101979201420162017
Current release8.1, December 2018V3, October 20202.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercial infoRestricted, free version availableOpen Source infoApache 2.0commercialcommercial
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 languageCANSI C, C++JavaScriptC++C++
Server operating systemsLinuxAndroid
Linux infoARM, x86
Raspbian
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafarihostedLinux
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyesyes, 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.yes infospecific XML type available, but no XML query functionalityyesnonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsyes infoANSI SQL queriesSQL-like query language infovia JavaScript builder patternyesSQL-like query language (GSQL)
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
JavaScriptC#
Java
PHP
C++
Java
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes info.Net, JavaScript, C/C++noTransact SQLyes
TriggersyesyesUsing read-only observersnono
Partitioning methods infoMethods for storing different data on different nodesShardingFile partitioning infoCustomizable business rules for partitioningnoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyes infoSynchronous and asynchronous realtime replication based on transaction logsnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyes infowhen using SQLyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infousing MemoryDBno
User concepts infoAccess controlfine grained access rights according to SQL-standardFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.noyesRole-based access control

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More resources
CitusFaircom EDGE infoformerly c-treeEDGELovefieldMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTigerGraph
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