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DBMS > Amazon DocumentDB vs. Firebase Realtime Database vs. Hawkular Metrics vs. MarkLogic vs. RRDtool

System Properties Comparison Amazon DocumentDB vs. Firebase Realtime Database vs. Hawkular Metrics vs. MarkLogic vs. RRDtool

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMarkLogic  Xexclude from comparisonRRDtool  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Operational and transactional Enterprise NoSQL databaseIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.
Primary database modelDocument storeDocument storeTime Series DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score14.29
Rank#39  Overall
#6  Document stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Websiteaws.amazon.com/­documentdbfirebase.google.com/­products/­realtime-databasewww.hawkular.orgwww.marklogic.comoss.oetiker.ch/­rrdtool
Technical documentationaws.amazon.com/­documentdb/­resourcesfirebase.google.com/­docs/­databasewww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.marklogic.comoss.oetiker.ch/­rrdtool/­doc
DeveloperGoogle infoacquired by Google 2014Community supported by Red HatMarkLogic Corp.Tobias Oetiker
Initial release20192012201420011999
Current release11.0, December 20221.8.0, 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial inforestricted free version is availableOpen Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemshostedhostedLinux
OS X
Windows
Linux
OS X
Windows
HP-UX
Linux
Data schemeschema-freeschema-freeschema-freeschema-free infoSchema can be enforcedyes
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 infoExporting into and restoring from XML files possible
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLnononoyes infoSQL92no
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Android
iOS
JavaScript API
RESTful HTTP API
HTTP RESTJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
in-process shared library
Pipes
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Java
JavaScript
Objective-C
Go
Java
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'noyes infovia XQuery or JavaScriptno
TriggersnoCallbacks are triggered when data changesyes infovia Hawkular Alertingyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factor infobased on Cassandrayesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistencynone
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsyesnoACID infocan act as a resource manager in an XA/JTA transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoby using the rrdcached daemon
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.noyes, with Range Indexesyes
User concepts infoAccess controlAccess rights for users and rolesyes, based on authentication and database rulesnoRole-based access control at the document and subdocument levelsno

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More resources
Amazon DocumentDBFirebase Realtime DatabaseHawkular MetricsMarkLogicRRDtool
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