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DBMS > atoti vs. Hawkular Metrics vs. OushuDB

System Properties Comparison atoti vs. Hawkular Metrics vs. OushuDB

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonOushuDB  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning
Primary database modelObject oriented DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.10
Rank#355  Overall
#154  Relational DBMS
Websiteatoti.iowww.hawkular.orgwww.oushu.com/­product/­oushuDB
Technical documentationdocs.atoti.iowww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.oushu.com/­documentation
DeveloperActiveViamCommunity supported by Red HatOushu
Initial release2014
Current release4.0.1, August 2020
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinux
OS X
Windows
Linux
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyesyes
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.no
Secondary indexesnoyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)noFull-featured ANSI SQL support
APIs and other access methodsHTTP RESTJDBC
ODBC
Supported programming languagesGo
Java
Python
Ruby
C
C++
Server-side scripts infoStored proceduresPythonnoyes
Triggersyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding infobased on Cassandrayes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoHadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnoKerberos, SSL and role based access

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More resources
atotiHawkular MetricsOushuDB
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