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DBMS > Google Cloud Datastore vs. openGemini vs. Prometheus vs. Quasardb vs. SAP Advantage Database Server

System Properties Comparison Google Cloud Datastore vs. openGemini vs. Prometheus vs. Quasardb vs. SAP Advantage Database Server

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonopenGemini  Xexclude from comparisonPrometheus  Xexclude from comparisonQuasardb  Xexclude from comparisonSAP Advantage Database Server infoformer name: Sybase ADS  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 PlatformAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityOpen-source Time Series DBMS and monitoring systemDistributed, high-performance timeseries databaseLow-cost RDBMS with access to ISAM and FoxPro data structures
Primary database modelDocument storeTime Series DBMSTime Series DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score0.01
Rank#375  Overall
#39  Time Series DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitecloud.google.com/­datastorewww.opengemini.org
github.com/­openGemini
prometheus.ioquasar.aiwww.sap.com/products/advantage-database-server.html
Technical documentationcloud.google.com/­datastore/­docsdocs.opengemini.org/­guideprometheus.io/­docsdoc.quasar.ai/­master
DeveloperGoogleHuawei and openGemini communityquasardbSybase, SAP
Initial release20082022201520091993
Current release1.1, July 20233.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoGoC++
Server operating systemshostedLinux
Windows
Linux
Windows
BSD
Linux
OS X
Windows
Linux
Windows
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyes, details hereInteger, Float, Boolean, StringNumeric data onlyyes infointeger and binaryyes
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 infoImport of XML data possiblenono
Secondary indexesyesyesnoyes infowith tagsyes
SQL infoSupport of SQLSQL-like query language (GQL)SQL-like query languagenoSQL-like query languageyes
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP RESTRESTful HTTP/JSON APIHTTP API.NET Client API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Delphi
Perl
PHP
Server-side scripts infoStored proceduresusing Google App Enginenononoyes
TriggersCallbacks using the Google Apps Enginenononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyesyes infoby FederationSource-replica replication with selectable replication factorMulti-source replication infoCONFLICT Trigger to resolve replication conflicts
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonowith Hadoop integrationno
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.noneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes infoTransient modeno 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)Administrators and common users accountsnoCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standard

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More resources
Google Cloud DatastoreopenGeminiPrometheusQuasardbSAP Advantage Database Server infoformer name: Sybase ADS
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