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DBMS > Hawkular Metrics vs. LokiJS vs. Sphinx vs. Splice Machine vs. YDB

System Properties Comparison Hawkular Metrics vs. LokiJS vs. Sphinx vs. Splice Machine vs. YDB

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonLokiJS  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.In-memory JavaScript DBMSOpen 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 SparkA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelTime Series DBMSDocument storeSearch engineRelational DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.49
Rank#260  Overall
#42  Document stores
Score5.95
Rank#55  Overall
#5  Search engines
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitewww.hawkular.orggithub.com/­techfort/­LokiJSsphinxsearch.comsplicemachine.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidetechfort.github.io/­LokiJSsphinxsearch.com/­docssplicemachine.com/­how-it-worksydb.tech/­en/­docs
DeveloperCommunity supported by Red HatSphinx Technologies Inc.Splice MachineYandex
Initial release20142014200120142019
Current release3.5.1, February 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open SourceOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license availableOpen Source infoApache 2.0; commercial license available
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 languageJavaJavaScriptC++Java
Server operating systemsLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesnonoyesyes
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 indexesnoyes infovia viewsyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLnonoSQL-like query language (SphinxQL)yesSQL-like query language (YQL)
APIs and other access methodsHTTP RESTJavaScript APIProprietary protocolJDBC
Native Spark Datasource
ODBC
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesGo
Java
Python
Ruby
JavaScriptC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnoView functions in JavaScriptnoyes infoJavano
Triggersyes infovia Hawkular Alertingyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandranoneSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandranonenoneMulti-source replication
Source-replica replication
Active-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
noneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single collection possiblenoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes 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.noyesyesno
User concepts infoAccess controlnononoAccess rights for users, groups and roles according to SQL-standardAccess rights defined for Yandex Cloud users

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More resources
Hawkular MetricsLokiJSSphinxSplice MachineYDB
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