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DBMS > Amazon Neptune vs. Databricks vs. Microsoft Azure Synapse Analytics vs. OpenEdge vs. TigerGraph

System Properties Comparison Amazon Neptune vs. Databricks vs. Microsoft Azure Synapse Analytics vs. OpenEdge vs. TigerGraph

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonDatabricks  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonOpenEdge  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerApplication development environment with integrated database management systemA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelGraph DBMS
RDF store
Document store
Relational DBMS
Relational DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websiteaws.amazon.com/­neptunewww.databricks.comazure.microsoft.com/­services/­synapse-analyticswww.progress.com/­openedgewww.tigergraph.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.databricks.comdocs.microsoft.com/­azure/­synapse-analyticsdocumentation.progress.com/­output/­ua/­OpenEdge_latestdocs.tigergraph.com
DeveloperAmazonDatabricksMicrosoftProgress Software Corporation
Initial release20172013201619842017
Current releaseOpenEdge 12.2, March 2020
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemshostedhostedhostedAIX
HP-UX
Linux
Solaris
Windows
Linux
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
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.noyesnoyesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnowith Databricks SQLyesyes infoclose to SQL 92SQL-like query language (GSQL)
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Python
R
Scala
C#
Java
PHP
Progress proprietary ABL (Advanced Business Language)C++
Java
Server-side scripts infoStored proceduresnouser defined functions and aggregatesTransact SQLyesyes
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioninghorizontal partitioning infosince Version 11.4
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.yesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsno 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 dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesUsers and groupsRole-based access control
More information provided by the system vendor
Amazon NeptuneDatabricksMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseOpenEdgeTigerGraph
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Amazon NeptuneDatabricksMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseOpenEdgeTigerGraph
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