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DBMS > BigObject vs. Google Cloud Firestore vs. Hawkular Metrics vs. OpenEdge vs. Prometheus

System Properties Comparison BigObject vs. Google Cloud Firestore vs. Hawkular Metrics vs. OpenEdge vs. Prometheus

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonOpenEdge  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Hawkular 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 systemOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedDocument storeTime Series DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websitebigobject.iofirebase.google.com/­products/­firestorewww.hawkular.orgwww.progress.com/­openedgeprometheus.io
Technical documentationdocs.bigobject.iofirebase.google.com/­docs/­firestorewww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocumentation.progress.com/­output/­ua/­OpenEdge_latestprometheus.io/­docs
DeveloperBigObject, Inc.GoogleCommunity supported by Red HatProgress Software Corporation
Initial release20152017201419842015
Current releaseOpenEdge 12.2, March 2020
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGo
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedLinux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesNumeric 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.nononoyesno infoImport of XML data possible
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyes infoclose to SQL 92no
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HTTP RESTJDBC
ODBC
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Go
Java
Python
Ruby
Progress proprietary ABL (Advanced Business Language).Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresLuayes, Firebase Rules & Cloud Functionsnoyesno
Triggersnoyes, with Cloud Functionsyes infovia Hawkular Alertingyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on Cassandrahorizontal partitioning infosince Version 11.4Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationselectable replication factor infobased on CassandraSource-replica replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistencynone
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyesyes
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.yesnonono
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.noUsers and groupsno

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More resources
BigObjectGoogle Cloud FirestoreHawkular MetricsOpenEdgePrometheus
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