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DBMS > Hawkular Metrics vs. LeanXcale vs. Memcached

System Properties Comparison Hawkular Metrics vs. LeanXcale vs. Memcached

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonLeanXcale  Xexclude from comparisonMemcached  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesIn-memory key-value store, originally intended for caching
Primary database modelTime Series DBMSKey-value store
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Websitewww.hawkular.orgwww.leanxcale.comwww.memcached.org
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidegithub.com/­memcached/­memcached/­wiki
DeveloperCommunity supported by Red HatLeanXcaleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release201420152003
Current release1.6.25, March 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoBSD license
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
Unix
Windows
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesno
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 indexesnono
SQL infoSupport of SQLnoyes infothrough Apache Derbyno
APIs and other access methodsHTTP RESTJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Proprietary protocol
Supported programming languagesGo
Java
Python
Ruby
C
Java
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnono
Triggersyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandranone infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoyes infousing SASL (Simple Authentication and Security Layer) protocol

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More resources
Hawkular MetricsLeanXcaleMemcached
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