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DBMS > Badger vs. Hawkular Metrics vs. HyperSQL vs. Microsoft Azure Table Storage vs. TimescaleDB

System Properties Comparison Badger vs. Hawkular Metrics vs. HyperSQL vs. Microsoft Azure Table Storage vs. TimescaleDB

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBA Wide Column Store for rapid development using massive semi-structured datasetsA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelKey-value storeTime Series DBMSRelational DBMSWide column storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerwww.hawkular.orghsqldb.orgazure.microsoft.com/­en-us/­services/­storage/­tableswww.timescale.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.hawkular.org/­hawkular-metrics/­docs/­user-guidehsqldb.org/­web/­hsqlDocsFrame.htmldocs.timescale.com
DeveloperDGraph LabsCommunity supported by Red HatMicrosoftTimescale
Initial release20172014200120122017
Current release2.7.2, June 20232.13.0, November 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infobased on BSD licensecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaJavaC
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modeshostedLinux
OS X
Windows
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyesnumerics, 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 indexesnonoyesnoyes
SQL infoSupport of SQLnonoyesnoyes infofull PostgreSQL SQL syntax
APIs and other access methodsHTTP RESTHTTP API infoJDBC via HTTP
JDBC
ODBC
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGoGo
Java
Python
Ruby
All languages supporting JDBC/ODBC
Java
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonoJava, SQLnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyes infovia Hawkular Alertingyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandranoneSharding infoImplicit feature of the cloud serviceyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on Cassandranoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDoptimistic lockingACID
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.nonoyesnono
User concepts infoAccess controlnonofine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standard

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More resources
BadgerHawkular MetricsHyperSQL infoalso known as HSQLDBMicrosoft Azure Table StorageTimescaleDB
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