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DBMS > Graphite vs. Hawkular Metrics vs. Sphinx vs. Splice Machine vs. StarRocks

System Properties Comparison Graphite vs. Hawkular Metrics vs. Sphinx vs. Splice Machine vs. StarRocks

Editorial information provided by DB-Engines
NameGraphite  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Open source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelTime Series DBMSTime Series DBMSSearch engineRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websitegithub.com/­graphite-project/­graphite-webwww.hawkular.orgsphinxsearch.comsplicemachine.comwww.starrocks.io
Technical documentationgraphite.readthedocs.iowww.hawkular.org/­hawkular-metrics/­docs/­user-guidesphinxsearch.com/­docssplicemachine.com/­how-it-worksdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperChris DavisCommunity supported by Red HatSphinx Technologies Inc.Splice MachineThe Linux Foundation infosince Feb 2023
Initial release20062014200120142020
Current release3.5.1, February 20233.1, March 20212.5.3, March 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license availableOpen Source infoApache Version 2.0
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 languagePythonJavaC++JavaC++, Java
Server operating systemsLinux
Unix
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateNumeric data onlyyesnoyesyes
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 indexesnonoyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLnonoSQL-like query language (SphinxQL)yesyes
APIs and other access methodsHTTP API
Sockets
HTTP RESTProprietary protocolJDBC
Native Spark Datasource
ODBC
JDBC
MySQL protocol
Supported programming languagesJavaScript (Node.js)
Python
Go
Java
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Java
Server-side scripts infoStored proceduresnononoyes infoJavauser defined functions
Triggersnoyes infovia Hawkular Alertingnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioninghorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on CassandranoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDno
Concurrency infoSupport for concurrent manipulation of datayes infolockingyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnononoAccess rights for users, groups and roles according to SQL-standardRole based access control and fine grained access rights

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More resources
GraphiteHawkular MetricsSphinxSplice MachineStarRocks
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