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DBMS > Amazon SimpleDB vs. Microsoft Azure SQL Database vs. Neo4j vs. TigerGraph

System Properties Comparison Amazon SimpleDB vs. Microsoft Azure SQL Database vs. Neo4j vs. TigerGraph

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonNeo4j  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreDatabase as a Service offering with high compatibility to Microsoft SQL ServerScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelKey-value storeRelational DBMSGraph DBMSGraph DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score44.46
Rank#23  Overall
#1  Graph DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websiteaws.amazon.com/­simpledbazure.microsoft.com/­en-us/­products/­azure-sql/­databaseneo4j.comwww.tigergraph.com
Technical documentationdocs.aws.amazon.com/­simpledbdocs.microsoft.com/­en-us/­azure/­azure-sqlneo4j.com/­docsdocs.tigergraph.com
DeveloperAmazonMicrosoftNeo4j, Inc.
Initial release2007201020072017
Current releaseV125.19, April 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version3, commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageC++Java, ScalaC++
Server operating systemshostedhostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesschema-free and schema-optionalyes
Typing infopredefined data types such as float or datenoyesyesyes
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.yesno
Secondary indexesyes infoAll columns are indexed automaticallyyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLnoyesnoSQL-like query language (GSQL)
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C++
Java
Server-side scripts infoStored proceduresnoTransact SQLyes infoUser defined Procedures and Functionsyes
Triggersnoyesyes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, with always 3 replicas availableCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDACIDACID
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.no
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Role-based access control
More information provided by the system vendor
Amazon SimpleDBMicrosoft Azure SQL Database infoformerly SQL AzureNeo4jTigerGraph
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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More resources
Amazon SimpleDBMicrosoft Azure SQL Database infoformerly SQL AzureNeo4jTigerGraph
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