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DBMS > etcd vs. Hawkular Metrics vs. Hyprcubd vs. Ingres vs. IRONdb

System Properties Comparison etcd vs. Hawkular Metrics vs. Hyprcubd vs. Ingres vs. IRONdb

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHyprcubd  Xexclude from comparisonIngres  Xexclude from comparisonIRONdb  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA distributed reliable key-value storeHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Serverless Time Series DBMSWell established RDBMSA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity
Primary database modelKey-value storeTime Series DBMSTime Series DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
www.hawkular.orghyprcubd.com (offline)www.actian.com/­databases/­ingreswww.circonus.com/solutions/time-series-database/
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.actian.com/­ingresdocs.circonus.com/irondb/category/getting-started
DeveloperCommunity supported by Red HatHyprcubd, Inc.Actian CorporationCirconus LLC.
Initial release20141974 infooriginally developed at University Berkely in early 1970s2017
Current release3.4, August 201911.2, May 2022V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaGoCC and C++
Server operating systemsFreeBSD
Linux
Windows infoexperimental
Linux
OS X
Windows
hostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyes infotime, int, uint, float, stringyesyes infotext, numeric, histograms
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 infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesnononoyesno
SQL infoSupport of SQLnonoSQL-like query languageyesSQL-like query language (Circonus Analytics Query Language: CAQL)
APIs and other access methodsgRPC
JSON over HTTP
HTTP RESTgRPC (https).NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP API
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Go
Java
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnononoyesyes, in Lua
Triggersyes, watching key changesyes infovia Hawkular Alertingnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrahorizontal partitioning infoIngres Star to access multiple databases simultaneouslyAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.selectable replication factor infobased on CassandraIngres Replicatorconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes infoMVCCyes
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.nonononono
User concepts infoAccess controlnonotoken accessfine grained access rights according to SQL-standardno

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More resources
etcdHawkular MetricsHyprcubdIngresIRONdb
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