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DBMS > Hawkular Metrics vs. Lovefield vs. TimescaleDB vs. TimesTen vs. Vitess

System Properties Comparison Hawkular Metrics vs. Lovefield vs. TimescaleDB vs. TimesTen vs. Vitess

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonLovefield  Xexclude from comparisonTimescaleDB  Xexclude from comparisonTimesTen  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Embeddable relational database for web apps written in pure JavaScriptA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLIn-Memory RDBMS compatible to OracleScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitewww.hawkular.orggoogle.github.io/­lovefieldwww.timescale.comwww.oracle.com/­database/­technologies/­related/­timesten.htmlvitess.io
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidegithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.timescale.comdocs.oracle.com/­database/­timesten-18.1vitess.io/­docs
DeveloperCommunity supported by Red HatGoogleTimescaleOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005The Linux Foundation, PlanetScale
Initial release20142014201719982013
Current release2.1.12, February 20172.13.0, November 202311 Release 2 (11.2.2.8.0)15.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache 2.0commercialOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaScriptCGo
Server operating systemsLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Docker
Linux
macOS
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyesyes
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 indexesnoyesyesyesyes
SQL infoSupport of SQLnoSQL-like query language infovia JavaScript builder patternyes infofull PostgreSQL SQL syntaxyesyes infowith proprietary extensions
APIs and other access methodsHTTP RESTADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesGo
Java
Python
Ruby
JavaScript.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
C
C++
Java
PL/SQL
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellPL/SQLyes infoproprietary syntax
Triggersyes infovia Hawkular AlertingUsing read-only observersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandranoneyes, across time and space (hash partitioning) attributesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandranoneSource-replica replication with hot standby and reads on replicas infoMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesyesyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDBnoyesyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles

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More resources
Hawkular MetricsLovefieldTimescaleDBTimesTenVitess
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