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DBMS > Dgraph vs. Google Cloud Bigtable vs. Hazelcast vs. Microsoft Azure SQL Database

System Properties Comparison Dgraph vs. Google Cloud Bigtable vs. Hazelcast vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHazelcast  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A widely adopted in-memory data gridDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelGraph DBMSKey-value store
Wide column store
Key-value storeRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Score77.99
Rank#16  Overall
#11  Relational DBMS
Websitedgraph.iocloud.google.com/­bigtablehazelcast.comazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationdgraph.io/­docscloud.google.com/­bigtable/­docshazelcast.org/­imdg/­docsdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperDgraph Labs, Inc.GoogleHazelcastMicrosoft
Initial release2016201520082010
Current release5.3.6, November 2023V12
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaC++
Server operating systemsLinux
OS X
Windows
hostedAll OS with a Java VMhosted
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 infothe object must implement a serialization strategyyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnonoSQL-like query languageyes
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes infoEvent Listeners, Executor ServicesTransact SQL
Triggersnonoyes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftInternal replication in Colossus, and regional replication between two clusters in different zonesyes infoReplicated Mapyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsone or two-phase-commit; repeatable reads; read commitedACID
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.noyes
User concepts infoAccess controlno infoPlanned for future releasesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access controlfine grained access rights according to SQL-standard

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More resources
DgraphGoogle Cloud BigtableHazelcastMicrosoft Azure SQL Database infoformerly SQL Azure
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