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DBMS > Hawkular Metrics vs. OrientDB vs. Realm vs. SingleStore

System Properties Comparison Hawkular Metrics vs. OrientDB vs. Realm vs. SingleStore

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonOrientDB  Xexclude from comparisonRealm  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Multi-model DBMS (Document, Graph, Key/Value)A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelTime Series DBMSDocument store
Graph DBMS
Key-value store
Document storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score3.02
Rank#88  Overall
#16  Document stores
#6  Graph DBMS
#12  Key-value stores
Score7.18
Rank#52  Overall
#8  Document stores
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websitewww.hawkular.orgorientdb.orgrealm.iowww.singlestore.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.orientdb.com/­docs/­last/­index.htmlrealm.io/­docsdocs.singlestore.com
DeveloperCommunity supported by Red HatOrientDB LTD; CallidusCloud; SAPRealm, acquired by MongoDB in May 2019SingleStore Inc.
Initial release2014201020142013
Current release3.2.29, March 20248.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache version 2Open Sourcecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++, Go
Server operating systemsLinux
OS X
Windows
All OS with a Java JDK (>= JDK 6)Android
Backend: server-less
iOS
Windows
Linux info64 bit version required
Data schemeschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yesyes
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.nononono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like query language, no joinsnoyes infobut no triggers and foreign keys
APIs and other access methodsHTTP RESTTinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesGo
Java
Python
Ruby
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoJava, Javascriptno inforuns within the applications so server-side scripts are unnecessaryyes
Triggersyes infovia Hawkular AlertingHooksyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingnoneSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replicationnoneSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocould be achieved with distributed queriesnono infocan define user-defined aggregate functions for map-reduce-style calculations
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 integritynoyes inforelationship in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoIn-Memory realmyes
User concepts infoAccess controlnoAccess rights for users and roles; record level security configurableyesFine grained access control via users, groups and roles

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Hawkular MetricsOrientDBRealmSingleStore infoformer name was MemSQL
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