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DBMS > Drizzle vs. Hawkular Metrics vs. HEAVY.AI vs. Ingres vs. Realm

System Properties Comparison Drizzle vs. Hawkular Metrics vs. HEAVY.AI vs. Ingres vs. Realm

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonIngres  Xexclude from comparisonRealm  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 high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareWell established RDBMSA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websitewww.hawkular.orggithub.com/­heavyai/­heavydb
www.heavy.ai
www.actian.com/­databases/­ingresrealm.io
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.heavy.aidocs.actian.com/­ingresrealm.io/­docs
DeveloperDrizzle project, originally started by Brian AkerCommunity supported by Red HatHEAVY.AI, Inc.Actian CorporationRealm, acquired by MongoDB in May 2019
Initial release2008201420161974 infooriginally developed at University Berkely in early 1970s2014
Current release7.2.4, September 20125.10, January 202211.2, May 2022
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availablecommercialOpen Source
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 languageC++JavaC++ and CUDAC
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Windows
LinuxAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Android
Backend: server-less
iOS
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonono infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsnoyesyesno
APIs and other access methodsJDBCHTTP RESTJDBC
ODBC
Thrift
Vega
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Supported programming languagesC
C++
Java
PHP
Go
Java
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresnononoyesno inforuns within the applications so server-side scripts are unnecessary
Triggersno infohooks for callbacks inside the server can be used.yes infovia Hawkular Alertingnoyesyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding infoRound robinhorizontal partitioning infoIngres Star to access multiple databases simultaneouslynone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infobased on CassandraMulti-source replicationIngres Replicatornone
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC
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.noyesnoyes infoIn-Memory realm
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes

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More resources
DrizzleHawkular MetricsHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IngresRealm
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