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DBMS > Drizzle vs. Hawkular Metrics vs. Realm vs. SQream DB

System Properties Comparison Drizzle vs. Hawkular Metrics vs. Realm vs. SQream DB

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonRealm  Xexclude from comparisonSQream DB  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.
DescriptionMySQL 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.A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Dataa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSTime Series DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitewww.hawkular.orgrealm.iosqream.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guiderealm.io/­docsdocs.sqream.com
DeveloperDrizzle project, originally started by Brian AkerCommunity supported by Red HatRealm, acquired by MongoDB in May 2019SQream Technologies
Initial release2008201420142017
Current release7.2.4, September 20122022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++, CUDA, Haskell, Java, Scala
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Windows
Android
Backend: server-less
iOS
Windows
Linux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes, ANSI Standard SQL 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.nono
Secondary indexesyesnoyesno
SQL infoSupport of SQLyes infowith proprietary extensionsnonoyes
APIs and other access methodsJDBCHTTP REST.Net
JDBC
ODBC
Supported programming languagesC
C++
Java
PHP
Go
Java
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonono inforuns within the applications so server-side scripts are unnecessaryuser defined functions in Python
Triggersno infohooks for callbacks inside the server can be used.yes infovia Hawkular Alertingyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on Cassandranonehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infobased on Cassandranonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoIn-Memory realm
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnoyes

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DrizzleHawkular MetricsRealmSQream DB
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