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DBMS > Hawkular Metrics vs. Memcached vs. Splice Machine vs. TimescaleDB vs. UniData,UniVerse

System Properties Comparison Hawkular Metrics vs. Memcached vs. Splice Machine vs. TimescaleDB vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonMemcached  Xexclude from comparisonSplice Machine  Xexclude from comparisonTimescaleDB  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.In-memory key-value store, originally intended for cachingOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelTime Series DBMSKey-value storeRelational DBMSTime Series DBMSMultivalue DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitewww.hawkular.orgwww.memcached.orgsplicemachine.comwww.timescale.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidegithub.com/­memcached/­memcached/­wikisplicemachine.com/­how-it-worksdocs.timescale.comdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperCommunity supported by Red HatDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalSplice MachineTimescaleRocket Software
Initial release20142003201420171985
Current release1.6.25, March 20243.1, March 20212.13.0, November 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSD licenseOpen Source infoAGPL 3.0, commercial license availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCJavaCC
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
Unix
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesoptional
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.noyes
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnonoyesyes infofull PostgreSQL SQL syntaxyes
APIs and other access methodsHTTP RESTProprietary protocolJDBC
Native Spark Datasource
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesGo
Java
Python
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnonoyes infoJavauser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellyes
Triggersyes infovia Hawkular Alertingnoyesyesyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandranoneShared Nothhing Auto-Sharding, Columnar Partitioningyes, across time and space (hash partitioning) attributesnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandranone infoRepcached, a Memcached patch, provides this functionallityMulti-source replication
Source-replica replication
Source-replica replication with hot standby and reads on replicas infoSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationnono
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 integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnoyes infousing SASL (Simple Authentication and Security Layer) protocolAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardAccess rights according to SQL-standard and operating system based

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Hawkular MetricsMemcachedSplice MachineTimescaleDBUniData,UniVerse
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