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DBMS > Apache Doris vs. Drizzle vs. Hawkular Metrics vs. Microsoft SQL Server vs. OpenTSDB

System Properties Comparison Apache Doris vs. Drizzle vs. Hawkular Metrics vs. Microsoft SQL Server vs. OpenTSDB

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonDrizzle  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonOpenTSDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Microsofts flagship relational DBMSScalable Time Series DBMS based on HBase
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Websitedoris.apache.org
github.com/­apache/­doris
www.hawkular.orgwww.microsoft.com/­en-us/­sql-serveropentsdb.net
Technical documentationgithub.com/­apache/­doris/­wikiwww.hawkular.org/­hawkular-metrics/­docs/­user-guidelearn.microsoft.com/­en-US/­sql/­sql-serveropentsdb.net/­docs/­build/­html/­index.html
DeveloperApache Software Foundation, originally contributed from BaiduDrizzle project, originally started by Brian AkerCommunity supported by Red HatMicrosoftcurrently maintained by Yahoo and other contributors
Initial release20172008201419892011
Current release1.2.2, February 20237.2.4, September 2012SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU GPLOpen Source infoApache 2.0commercial inforestricted free version is availableOpen Source infoLGPL
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 languageJavaC++JavaC++Java
Server operating systemsLinuxFreeBSD
Linux
OS X
Linux
OS X
Windows
Linux
Windows
Linux
Windows
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesnumeric data for metrics, strings for tags
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 indexesyesyesnoyesno
SQL infoSupport of SQLyesyes infowith proprietary extensionsnoyesno
APIs and other access methodsJDBC
MySQL client
JDBCHTTP RESTADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
HTTP API
Telnet API
Supported programming languagesJavaC
C++
Java
PHP
Go
Java
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Erlang
Go
Java
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functionsnonoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersnono infohooks for callbacks inside the server can be used.yes infovia Hawkular Alertingyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infobased on Cassandratables can be distributed across several files (horizontal partitioning); sharding through federationSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
selectable replication factor infobased on Cassandrayes, but depending on the SQL-Server Editionselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
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.nonoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPnofine grained access rights according to SQL-standardno

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More resources
Apache DorisDrizzleHawkular MetricsMicrosoft SQL ServerOpenTSDB
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