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DBMS > Google Cloud Datastore vs. Hawkular Metrics vs. openGemini vs. STSdb vs. TerminusDB

System Properties Comparison Google Cloud Datastore vs. Hawkular Metrics vs. openGemini vs. STSdb vs. TerminusDB

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonopenGemini  Xexclude from comparisonSTSdb  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.An open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelDocument storeTime Series DBMSTime Series DBMSKey-value storeGraph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.01
Rank#375  Overall
#39  Time Series DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitecloud.google.com/­datastorewww.hawkular.orgwww.opengemini.org
github.com/­openGemini
github.com/­STSSoft/­STSdb4terminusdb.com
Technical documentationcloud.google.com/­datastore/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.opengemini.org/­guideterminusdb.github.io/­terminusdb/­#
DeveloperGoogleCommunity supported by Red HatHuawei and openGemini communitySTS Soft SCDataChemist Ltd.
Initial release20082014202220112018
Current release1.1, July 20234.0.8, September 201511.0.0, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoGPLv2, commercial license availableOpen Source infoGPL V3
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 languageJavaGoC#Prolog, Rust
Server operating systemshostedLinux
OS X
Windows
Linux
Windows
WindowsLinux
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes, details hereyesInteger, Float, Boolean, Stringyes infoprimitive types and user defined types (classes)yes
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 indexesyesnoyesno
SQL infoSupport of SQLSQL-like query language (GQL)noSQL-like query languagenoSQL-like query language (WOQL)
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP RESTHTTP REST.NET Client APIOWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresusing Google App Enginenononoyes
TriggersCallbacks using the Google Apps Engineyes infovia Hawkular Alertingnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraShardingnoneGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosselectable replication factor infobased on CassandrayesnoneJournaling Streams
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.Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
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 TransactionsnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noAdministrators and common users accountsnoRole-based access control

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More resources
Google Cloud DatastoreHawkular MetricsopenGeminiSTSdbTerminusDB infoformer name was DataChemist
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