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DBMS > Drizzle vs. Hawkular Metrics vs. Ignite vs. OpenMLDB vs. Transwarp StellarDB

System Properties Comparison Drizzle vs. Hawkular Metrics vs. Ignite vs. OpenMLDB vs. Transwarp StellarDB

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonIgnite  Xexclude from comparisonOpenMLDB  Xexclude from comparisonTranswarp StellarDB  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.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.An open-source machine learning database that provides a feature platform for training and inferenceA distributed graph DBMS built for enterprise-level graph applications
Primary database modelRelational DBMSTime Series DBMSKey-value store
Relational DBMS
Time Series DBMSGraph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Score0.07
Rank#371  Overall
#39  Graph DBMS
Websitewww.hawkular.orgignite.apache.orgopenmldb.aiwww.transwarp.cn/­en/­product/­stellardb
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guideapacheignite.readme.io/­docsopenmldb.ai/­docs/­zh/­main
DeveloperDrizzle project, originally started by Brian AkerCommunity supported by Red HatApache Software Foundation4 Paradigm Inc.Transwarp
Initial release2008201420152020
Current release7.2.4, September 2012Apache Ignite 2.62024-2 February 2024
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache 2.0Open Source infoApache 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++, Java, .NetC++, Java, Scala
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeyesschema-freeyesFixed schema
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsnoANSI-99 for query and DML statements, subset of DDLyesSQL-like query language
APIs and other access methodsJDBCHTTP RESTHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
SQLAlchemy
OpenCypher
Supported programming languagesC
C++
Java
PHP
Go
Java
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)no
Triggersno infohooks for callbacks inside the server can be used.yes infovia Hawkular Alertingyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraShardinghorizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infobased on Cassandrayes (replicated cache)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)
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 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.noyesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnoSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardyes

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More resources
DrizzleHawkular MetricsIgniteOpenMLDBTranswarp StellarDB
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