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DBMS > Google Cloud Datastore vs. Hawkular Metrics vs. OpenEdge vs. OpenQM vs. Prometheus

System Properties Comparison Google Cloud Datastore vs. Hawkular Metrics vs. OpenEdge vs. OpenQM vs. Prometheus

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonOpenEdge  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonPrometheus  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 systemQpenQM is a high-performance, self-tuning, multi-value DBMSOpen-source Time Series DBMS and monitoring system
Primary database modelDocument storeTime Series DBMSRelational DBMSMultivalue DBMSTime Series DBMS
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
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websitecloud.google.com/­datastorewww.hawkular.orgwww.progress.com/­openedgewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmprometheus.io
Technical documentationcloud.google.com/­datastore/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocumentation.progress.com/­output/­ua/­OpenEdge_latestprometheus.io/­docs
DeveloperGoogleCommunity supported by Red HatProgress Software CorporationRocket Software, originally Martin Phillips
Initial release20082014198419932015
Current releaseOpenEdge 12.2, March 20203.4-12
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoGPLv2, extended commercial license availableOpen Source infoApache 2.0
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 languageJavaGo
Server operating systemshostedLinux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
Windows
Data schemeschema-freeschema-freeyesyes infowith some exceptionsyes
Typing infopredefined data types such as float or dateyes, details hereyesyesNumeric data only
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.nonoyesyesno infoImport of XML data possible
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLSQL-like query language (GQL)noyes infoclose to SQL 92nono
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP RESTJDBC
ODBC
RESTful HTTP/JSON API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
Python
Ruby
Progress proprietary ABL (Advanced Business Language).Net
Basic
C
Java
Objective C
PHP
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresusing Google App Enginenoyesyesno
TriggersCallbacks using the Google Apps Engineyes infovia Hawkular Alertingyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on Cassandrahorizontal partitioning infosince Version 11.4yesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosselectable replication factor infobased on CassandraSource-replica replicationyesyes infoby Federation
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
Immediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noUsers and groupsAccess rights can be defined down to the item levelno

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More resources
Google Cloud DatastoreHawkular MetricsOpenEdgeOpenQM infoalso called QMPrometheus
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