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DBMS > Google Cloud Datastore vs. Lovefield vs. Microsoft Azure Table Storage vs. SurrealDB vs. UniData,UniVerse

System Properties Comparison Google Cloud Datastore vs. Lovefield vs. Microsoft Azure Table Storage vs. SurrealDB vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSurrealDB  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformEmbeddable relational database for web apps written in pure JavaScriptA Wide Column Store for rapid development using massive semi-structured datasetsA fully ACID transactional, developer-friendly, multi-model DBMSMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelDocument storeRelational DBMSWide column storeDocument store
Graph DBMS
Multivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitecloud.google.com/­datastoregoogle.github.io/­lovefieldazure.microsoft.com/­en-us/­services/­storage/­tablessurrealdb.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationcloud.google.com/­datastore/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdsurrealdb.com/­docsdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperGoogleGoogleMicrosoftSurrealDB LtdRocket Software
Initial release20082014201220221985
Current release2.1.12, February 2017v1.5.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptRustC
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafarihostedLinux
macOS
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyes, details hereyesyesyesoptional
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 indexesyesyesnoyes
SQL infoSupport of SQLSQL-like query language (GQL)SQL-like query language infovia JavaScript builder patternnoSQL-like query languageyes
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
RESTful HTTP APIGraphQL
RESTful HTTP API
WebSocket
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Deno
Go
JavaScript (Node.js)
Rust
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresusing Google App Enginenonoyes
TriggersCallbacks using the Google Apps EngineUsing read-only observersnoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosnoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownononono
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 pathsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDoptimistic lockingACIDACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDBno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noAccess rights based on private key authentication or shared access signaturesyes, based on authentication and database rulesAccess rights according to SQL-standard and operating system based

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More resources
Google Cloud DatastoreLovefieldMicrosoft Azure Table StorageSurrealDBUniData,UniVerse
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