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DBMS > Dgraph vs. EsgynDB vs. GeoSpock vs. Microsoft Azure Synapse Analytics

System Properties Comparison Dgraph vs. EsgynDB vs. GeoSpock vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionSpatial and temporal data processing engine for extreme data scaleElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelGraph DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitedgraph.iowww.esgyn.cngeospock.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationdgraph.io/­docsdocs.microsoft.com/­azure/­synapse-analytics
DeveloperDgraph Labs, Inc.EsgynGeoSpockMicrosoft
Initial release201620152016
Current release2.0, September 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++, JavaJava, JavascriptC++
Server operating systemsLinux
OS X
Windows
Linuxhostedhosted
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyestemporal, categoricalyes
SQL infoSupport of SQLnoyesANSI SQL for query only (using Presto)yes
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
JDBCADO.NET
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC#
Java
PHP
Server-side scripts infoStored proceduresnoJava Stored ProceduresnoTransact SQL
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesyesShardingAutomatic shardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication between multi datacentersyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardAccess rights for users can be defined per tableyes

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More resources
DgraphEsgynDBGeoSpockMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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