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DBMS > Hawkular Metrics vs. Sphinx vs. TimescaleDB vs. Tkrzw vs. XTDB

System Properties Comparison Hawkular Metrics vs. Sphinx vs. TimescaleDB vs. Tkrzw vs. XTDB

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonSphinx  Xexclude from comparisonTimescaleDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionHawkular 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 databasesA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelTime Series DBMSSearch engineTime Series DBMSKey-value storeDocument store
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
Score5.98
Rank#56  Overall
#5  Search engines
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Score0.11
Rank#343  Overall
#46  Document stores
Websitewww.hawkular.orgsphinxsearch.comwww.timescale.comdbmx.net/­tkrzwgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidesphinxsearch.com/­docsdocs.timescale.comwww.xtdb.com/­docs
DeveloperCommunity supported by Red HatSphinx Technologies Inc.TimescaleMikio HirabayashiJuxt Ltd.
Initial release20142001201720202019
Current release3.5.1, February 20232.15.0, May 20240.9.3, August 20201.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoMIT License
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 languageJavaC++CC++Clojure
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
macOS
All OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnonumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesnoyes, extensible-data-notation format
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.noyesnono
Secondary indexesnoyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLnoSQL-like query language (SphinxQL)yes infofull PostgreSQL SQL syntaxnolimited SQL, making use of Apache Calcite
APIs and other access methodsHTTP RESTProprietary protocolADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST
JDBC
Supported programming languagesGo
Java
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
C++
Java
Python
Ruby
Clojure
Java
Server-side scripts infoStored proceduresnonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellnono
Triggersyes infovia Hawkular Alertingnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding infoPartitioning is done manually, search queries against distributed index is supportedyes, across time and space (hash partitioning) attributesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandranoneSource-replica replication with hot standby and reads on replicas infononeyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
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 integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infousing specific database classes
User concepts infoAccess controlnonofine grained access rights according to SQL-standardno

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More resources
Hawkular MetricsSphinxTimescaleDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetXTDB infoformerly named Crux
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