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DBMS > Google Cloud Firestore vs. Hawkular Metrics vs. OpenTSDB vs. TDSQL for MySQL vs. TimescaleDB

System Properties Comparison Google Cloud Firestore vs. Hawkular Metrics vs. OpenTSDB vs. TDSQL for MySQL vs. TimescaleDB

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonOpenTSDB  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionCloud 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.Scalable Time Series DBMS based on HBaseA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument storeTime Series DBMSTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.36
Rank#53  Overall
#9  Document stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Score0.85
Rank#207  Overall
#97  Relational DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitefirebase.google.com/­products/­firestorewww.hawkular.orgopentsdb.netwww.tencentcloud.com/­products/­dcdbwww.timescale.com
Technical documentationfirebase.google.com/­docs/­firestorewww.hawkular.org/­hawkular-metrics/­docs/­user-guideopentsdb.net/­docs/­build/­html/­index.htmlwww.tencentcloud.com/­document/­product/­1042docs.timescale.com
DeveloperGoogleCommunity supported by Red Hatcurrently maintained by Yahoo and other contributorsTencentTimescale
Initial release20172014201120132017
Current release2.15.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoLGPLcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC
Server operating systemshostedLinux
OS X
Windows
Linux
Windows
hostedLinux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnumeric data for metrics, strings for tagsyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nonononoyes
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLnononoyesyes infofull PostgreSQL SQL syntax
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HTTP RESTHTTP API
Telnet API
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Go
Java
Python
Ruby
Erlang
Go
Java
Python
R
Ruby
C
C#
C++
Java
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsnonoyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyes, with Cloud Functionsyes infovia Hawkular Alertingnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding infobased on HBaseAutomatic shardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factor infobased on Cassandraselectable replication factor infobased on HBaseMulti-source replication
Source-replica replication
Source-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency infobased on HBaseImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoACIDACID
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. Security Rules for 3rd party authentication using Firebase Auth.nonoUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
Google Cloud FirestoreHawkular MetricsOpenTSDBTDSQL for MySQLTimescaleDB
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