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DBMS > Google Cloud Datastore vs. Hawkular Metrics vs. OpenEdge vs. Trino

System Properties Comparison Google Cloud Datastore vs. Hawkular Metrics vs. OpenEdge vs. Trino

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonOpenEdge  Xexclude from comparisonTrino  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.Application development environment with integrated database management systemFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelDocument storeTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#71  Overall
#12  Document stores
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score3.69
Rank#78  Overall
#42  Relational DBMS
Score5.28
Rank#61  Overall
#35  Relational DBMS
Websitecloud.google.com/­datastorewww.hawkular.orgwww.progress.com/­openedgetrino.io
Technical documentationcloud.google.com/­datastore/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocumentation.progress.com/­output/­ua/­OpenEdge_latesttrino.io/­broadcast
trino.io/­docs/­current
DeveloperGoogleCommunity supported by Red HatProgress Software CorporationTrino Software Foundation
Initial release2008201419842012 info2020 rebranded from PrestoSQL
Current releaseOpenEdge 12.2, March 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0
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 languageJavaJava
Server operating systemshostedLinux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
macOS infofor devlopment
Data schemeschema-freeschema-freeyesyes
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.nonoyesno
Secondary indexesyesnoyesdepending on connected data-source
SQL infoSupport of SQLSQL-like query language (GQL)noyes infoclose to SQL 92yes
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP RESTJDBC
ODBC
JDBC
RESTful HTTP API
Trino CLI
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
Python
Ruby
Progress proprietary ABL (Advanced Business Language)Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresusing Google App Enginenoyesyes, depending on connected data-source
TriggersCallbacks using the Google Apps Engineyes infovia Hawkular Alertingyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on Cassandrahorizontal partitioning infosince Version 11.4depending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosselectable replication factor infobased on CassandraSource-replica replicationdepending on connected data-source
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
Immediate Consistencydepending on connected data-source
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACIDdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noUsers and groupsSQL standard access control
More information provided by the system vendor
Google Cloud DatastoreHawkular MetricsOpenEdgeTrino
News

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11 July 2024

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More resources
Google Cloud DatastoreHawkular MetricsOpenEdgeTrino
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