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DBMS > AgensGraph vs. Bangdb vs. Microsoft Azure Synapse Analytics vs. TigerGraph

System Properties Comparison AgensGraph vs. Bangdb vs. Microsoft Azure Synapse Analytics vs. TigerGraph

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonBangdb  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLConverged and high performance database for device data, events, time series, document and graphElastic, 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 modelGraph DBMS
Relational DBMS
Document store
Graph DBMS
Time Series DBMS
Relational DBMSGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websitebitnine.net/­agensgraphbangdb.comazure.microsoft.com/­services/­synapse-analyticswww.tigergraph.com
Technical documentationbitnine.net/­documentationdocs.bangdb.comdocs.microsoft.com/­azure/­synapse-analyticsdocs.tigergraph.com
DeveloperBitnine Global Inc.Sachin Sinha, BangDBMicrosoft
Initial release2016201220162017
Current release2.1, December 2018BangDB 2.0, October 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoBSD 3commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC, C++C++C++
Server operating systemsLinux
OS X
Windows
LinuxhostedLinux
Data schemedepending on used data modelschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesyes
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.nononono
Secondary indexesyesyes infosecondary, composite, nested, reverse, geospatialyes
SQL infoSupport of SQLyesSQL like support with command line toolyesSQL-like query language (GSQL)
APIs and other access methodsCypher Query Language
JDBC
Proprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC
Java
JavaScript
Python
C
C#
C++
Java
Python
C#
Java
PHP
C++
Java
Server-side scripts infoStored proceduresyesnoTransact SQLyes
Triggersnoyes, Notifications (with Streaming only)nono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor, Knob for CAP (enterprise version only)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyImmediate Consistency
Foreign keys infoReferential integrityyesnono 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 dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, run db with in-memory only modeno
User concepts infoAccess controlfine grained access rights according to SQL-standardyes (enterprise version only)yesRole-based access control

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More resources
AgensGraphBangdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTigerGraph
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