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

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

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonReductStore  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.Designed to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.Key-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
Score0.00
Rank#383  Overall
#41  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.orggithub.com/­reductstore
www.reduct.store
github.com/­STSSoft/­STSdb4terminusdb.com
Technical documentationcloud.google.com/­datastore/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.reduct.store/­docsterminusdb.github.io/­terminusdb/­#
DeveloperGoogleCommunity supported by Red HatReductStore LLCSTS Soft SCDataChemist Ltd.
Initial release20082014202320112018
Current release1.9, March 20244.0.8, September 201511.0.0, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoBusiness Source License 1.1Open 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 languageJavaC++, RustC#Prolog, Rust
Server operating systemshostedLinux
OS X
Windows
Docker
Linux
macOS
Windows
WindowsLinux
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes, details hereyesyes 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.nonono
Secondary indexesyesnono
SQL infoSupport of SQLSQL-like query language (GQL)nonoSQL-like query language (WOQL)
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP RESTHTTP API.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++
JavaScript (Node.js)
Python
Rust
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresusing Google App Enginenonoyes
TriggersCallbacks using the Google Apps Engineyes infovia Hawkular Alertingnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandranoneGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosselectable replication factor infobased on CassandranoneJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonono
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 pathsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nonoRole-based access control

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More resources
Google Cloud DatastoreHawkular MetricsReductStoreSTSdbTerminusDB infoformer name was DataChemist
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