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DBMS > Google Cloud Datastore vs. Graph Engine vs. SAP Advantage Database Server vs. SurrealDB

System Properties Comparison Google Cloud Datastore vs. Graph Engine vs. SAP Advantage Database Server vs. SurrealDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonSAP Advantage Database Server infoformer name: Sybase ADS  Xexclude from comparisonSurrealDB  Xexclude from comparison
SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineLow-cost RDBMS with access to ISAM and FoxPro data structuresA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelDocument storeGraph DBMS
Key-value store
Relational DBMSDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Websitecloud.google.com/­datastorewww.graphengine.iowww.sap.com/products/advantage-database-server.htmlsurrealdb.com
Technical documentationcloud.google.com/­datastore/­docswww.graphengine.io/­docs/­manualsurrealdb.com/­docs
DeveloperGoogleMicrosoftSybase, SAPSurrealDB Ltd
Initial release2008201019932022
Current releasev1.5.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicensecommercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation language.NET and CRust
Server operating systemshosted.NETLinux
Windows
Linux
macOS
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyes, details hereyesyesyes
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.nonono
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like query language (GQL)noyesSQL-like query language
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
RESTful HTTP API.NET Client API
ADO.NET
JDBC
ODBC
OLE DB
GraphQL
RESTful HTTP API
WebSocket
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
F#
Visual Basic
Delphi
Perl
PHP
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresusing Google App Engineyesyes
TriggersCallbacks using the Google Apps Enginenoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosMulti-source replication infoCONFLICT Trigger to resolve replication conflicts
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno infocaching of (temporary) tables can be configured
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardyes, based on authentication and database rules

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More resources
Google Cloud DatastoreGraph Engine infoformer name: TrinitySAP Advantage Database Server infoformer name: Sybase ADSSurrealDB
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