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DBMS > Dgraph vs. Google Cloud Datastore vs. Sadas Engine vs. UniData,UniVerse vs. WakandaDB

System Properties Comparison Dgraph vs. Google Cloud Datastore vs. Sadas Engine vs. UniData,UniVerse vs. WakandaDB

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonSadas Engine  Xexclude from comparisonUniData,UniVerse  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsMultiValue database and application server with SQL mapping layer and meta database capabilitiesWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelGraph DBMSDocument storeRelational DBMSMultivalue DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitedgraph.iocloud.google.com/­datastorewww.sadasengine.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidatawakanda.github.io
Technical documentationdgraph.io/­docscloud.google.com/­datastore/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidatawakanda.github.io/­doc
DeveloperDgraph Labs, Inc.GoogleSADAS s.r.l.Rocket SoftwareWakanda SAS
Initial release20162008200619852012
Current release8.02.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infofree trial version availablecommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++CC++, JavaScript
Server operating systemsLinux
OS X
Windows
hostedAIX
Linux
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes, details hereyesoptionalyes
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 indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-like query language (GQL)yesyesno
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
Proprietary protocol
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
.Net
Basic infoU2 Basic
C
Java
JavaScript
Server-side scripts infoStored proceduresnousing Google App Enginenoyesyes
TriggersnoCallbacks using the Google Apps Enginenoyes infoU2 Basicyes
Partitioning methods infoMethods for storing different data on different nodesyesShardinghorizontal partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication using PaxosnoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID infoconfigurableACID
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.noyes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlno infoPlanned for future releasesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and roles according to SQL-standardAccess rights according to SQL-standard and operating system basedyes

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More resources
DgraphGoogle Cloud DatastoreSadas EngineUniData,UniVerseWakandaDB
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