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DBMS > Datomic vs. Dgraph vs. Google Cloud Datastore vs. NuoDB vs. Sadas Engine

System Properties Comparison Datomic vs. Dgraph vs. Google Cloud Datastore vs. NuoDB vs. Sadas Engine

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDgraph  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonNuoDB  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityDistributed and scalable native Graph DBMSAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformNuoDB is a webscale distributed database that supports SQL and ACID transactionsSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMSGraph DBMSDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#145  Overall
#66  Relational DBMS
Score1.48
Rank#158  Overall
#15  Graph DBMS
Score4.49
Rank#79  Overall
#12  Document stores
Score0.99
Rank#195  Overall
#92  Relational DBMS
Score0.03
Rank#379  Overall
#156  Relational DBMS
Websitewww.datomic.comdgraph.iocloud.google.com/­datastorewww.3ds.com/­nuodb-distributed-sql-databasewww.sadasengine.com
Technical documentationdocs.datomic.comdgraph.io/­docscloud.google.com/­datastore/­docsdoc.nuodb.comwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperCognitectDgraph Labs, Inc.GoogleDassault Systèmes infooriginally NuoDB, Inc.SADAS s.r.l.
Initial release20122016200820132006
Current release1.0.6735, June 20238.0
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache 2.0commercialcommercial infolimited edition freecommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureGoC++C++
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
hostedhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
AIX
Linux
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes, details hereyesyes
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.nonononono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnonoSQL-like query language (GQL)yesyes
APIs and other access methodsRESTful HTTP APIGraphQL query language
gRPC (using protocol buffers) API
HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
Supported programming languagesClojure
Java
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyes infoTransaction Functionsnousing Google App EngineJava, SQLno
TriggersBy using transaction functionsnoCallbacks using the Google Apps Engineyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersyesShardingdata is dynamically stored/cached on the nodes where it is read/writtenhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSynchronous replication via RaftMulti-source replication using Paxosyes infoManaged transparently by NuoDBnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 integritynonoyes infovia ReferenceProperties or Ancestor pathsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnoyes infoTemporary tableyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlnono infoPlanned for future releasesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Standard SQL roles/ privileges, Administrative UsersAccess rights for users, groups and roles according to SQL-standard

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More resources
DatomicDgraphGoogle Cloud DatastoreNuoDBSadas Engine
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