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DBMS > FatDB vs. HugeGraph vs. Microsoft Azure Synapse Analytics vs. PostgreSQL vs. TinkerGraph

System Properties Comparison FatDB vs. HugeGraph vs. Microsoft Azure Synapse Analytics vs. PostgreSQL vs. TinkerGraph

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPostgreSQL  Xexclude from comparisonTinkerGraph  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.A fast-speed and highly-scalable Graph DBMSElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelDocument store
Key-value store
Graph DBMSRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Graph DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
azure.microsoft.com/­services/­synapse-analyticswww.postgresql.orgtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationhugegraph.apache.org/­docsdocs.microsoft.com/­azure/­synapse-analyticswww.postgresql.org/­docs
DeveloperFatCloudBaiduMicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release2012201820161989 info1989: Postgres, 1996: PostgreSQL2009
Current release0.916.3, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoBSDOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
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Implementation languageC#JavaC++CJava
Server operating systemsWindowsLinux
macOS
Unix
hostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyes infoalso supports composite index and range indexyesyesno
SQL infoSupport of SQLno infoVia inetgration in SQL Servernoyesyes infostandard with numerous extensionsno
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
TinkerPop 3
Supported programming languagesC#Groovy
Java
Python
C#
Java
PHP
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Groovy
Java
Server-side scripts infoStored proceduresyes infovia applicationsasynchronous Gremlin script jobsTransact SQLuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersyes infovia applicationsnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding, horizontal partitioningpartitioning by range, list and (since PostgreSQL 11) by hashnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infodepending on used storage backend, e.g. Cassandra and HBaseyesSource-replica replication infoother methods possible by using 3rd party extensionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesvia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyes infoedges in graphno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsUsers, roles and permissionsyesfine grained access rights according to SQL-standardno

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More resources
FatDBHugeGraphMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePostgreSQLTinkerGraph
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