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DBMS > Dgraph vs. InfinityDB vs. Microsoft SQL Server vs. Oracle vs. SAP HANA

System Properties Comparison Dgraph vs. InfinityDB vs. Microsoft SQL Server vs. Oracle vs. SAP HANA

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonInfinityDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonOracle  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSA Java embedded Key-Value Store which extends the Java Map interfaceMicrosofts flagship relational DBMSWidely used RDBMSIn-memory, column based data store. Available as appliance or cloud service
Primary database modelGraph DBMSKey-value storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.58
Rank#138  Overall
#11  Graph DBMS
Score0.04
Rank#325  Overall
#50  Key-value stores
Score954.02
Rank#3  Overall
#3  Relational DBMS
Score1281.74
Rank#1  Overall
#1  Relational DBMS
Score54.58
Rank#21  Overall
#13  Relational DBMS
Websitedgraph.ioboilerbay.comwww.microsoft.com/­en-us/­sql-serverwww.oracle.com/­databasewww.sap.com/­products/­hana.html
Technical documentationdgraph.io/­docsboilerbay.com/­infinitydb/­manualdocs.microsoft.com/­en-US/­sql/­sql-serverdocs.oracle.com/­en/­databasehelp.sap.com/­hana
DeveloperDgraph Labs, Inc.Boiler Bay Inc.MicrosoftOracleSAP
Initial release20162002198919802010
Current release4.0SQL Server 2019, November 201919c, February 20192.0 SPS05 (June 26, 2020), June 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial inforestricted free version is availablecommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaC++C and C++
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Appliance or cloud-service
Data schemeschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesyes infoSchemaless in JSON and XML columnsyes
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyesyes
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.nonoyesyesno
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilityyesyesyes
SQL infoSupport of SQLnonoyesyes infowith proprietary extensionsyes
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
Server-side scripts infoStored proceduresnonoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaPL/SQL infoalso stored procedures in Java possibleSQLScript, R
Triggersnonoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesyesnonetables can be distributed across several files (horizontal partitioning); sharding through federationSharding, horizontal partitioningyes
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftnoneyes, but depending on the SQL-Server EditionMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infocan be realized in PL/SQLno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDACID infoisolation level can be parameterizedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'yes
User concepts infoAccess controlno infoPlanned for future releasesnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes
More information provided by the system vendor
DgraphInfinityDBMicrosoft SQL ServerOracleSAP HANA
Competitive advantagesHorizontally scalable transactional graph database with fast arbitrary-depth joins...
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We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
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