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DBMS > Hawkular Metrics vs. IBM Cloudant vs. Manticore Search vs. Spark SQL

System Properties Comparison Hawkular Metrics vs. IBM Cloudant vs. Manticore Search vs. Spark SQL

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonManticore Search  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Database as a Service offering based on Apache CouchDBMulti-storage database for search, including full-text search.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSDocument storeSearch engineRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Score0.29
Rank#302  Overall
#21  Search engines
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.hawkular.orgwww.ibm.com/­products/­cloudantmanticoresearch.comspark.apache.org/­sql
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidecloud.ibm.com/­docs/­Cloudantmanual.manticoresearch.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperCommunity supported by Red HatIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Manticore SoftwareApache Software Foundation
Initial release2014201020172014
Current release6.0, February 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoGPL version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaErlangC++Scala
Server operating systemsLinux
OS X
Windows
hostedFreeBSD
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeFixed schemayes
Typing infopredefined data types such as float or dateyesnoInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.nonoCan index from XMLno
Secondary indexesnoyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLnonoSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsHTTP RESTRESTful HTTP/JSON APIBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JDBC
ODBC
Supported programming languagesGo
Java
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoView functions (Map-Reduce) in JavaScriptuser defined functionsno
Triggersyes infovia Hawkular Alertingyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
Synchronous replication based on Galera librarynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a document possibleyes infoisolated transactions for atomic changes and binary logging for safe writesno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlnoAccess rights for users can be defined per databasenono

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More resources
Hawkular MetricsIBM CloudantManticore SearchSpark SQL
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