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DBMS > Hawkular Metrics vs. HugeGraph vs. NSDb vs. STSdb

System Properties Comparison Hawkular Metrics vs. HugeGraph vs. NSDb vs. STSdb

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonHugeGraph  Xexclude from comparisonNSDb  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A fast-speed and highly-scalable Graph DBMSScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelTime Series DBMSGraph DBMSTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitewww.hawkular.orggithub.com/­hugegraph
hugegraph.apache.org
nsdb.iogithub.com/­STSSoft/­STSdb4
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidehugegraph.apache.org/­docsnsdb.io/­Architecture
DeveloperCommunity supported by Red HatBaiduSTS Soft SC
Initial release2014201820172011
Current release0.94.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava, ScalaC#
Server operating systemsLinux
OS X
Windows
Linux
macOS
Unix
Linux
macOS
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyes infoprimitive types and user defined types (classes)
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
Secondary indexesnoyes infoalso supports composite index and range indexall fields are automatically indexedno
SQL infoSupport of SQLnonoSQL-like query languageno
APIs and other access methodsHTTP RESTJava API
RESTful HTTP API
TinkerPop Gremlin
gRPC
HTTP REST
WebSocket
.NET Client API
Supported programming languagesGo
Java
Python
Ruby
Groovy
Java
Python
Java
Scala
C#
Java
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsnono
Triggersyes infovia Hawkular Alertingnono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrayes infodepending on used storage backend, e.g. Cassandra and HBaseShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes infodepending on used storage backend, e.g. Cassandra and HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoUsers, roles and permissionsno

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More resources
Hawkular MetricsHugeGraphNSDbSTSdb
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