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DBMS > Druid vs. Manticore Search vs. Yaacomo

System Properties Comparison Druid vs. Manticore Search vs. Yaacomo

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Editorial information provided by DB-Engines
NameDruid  Xexclude from comparisonManticore Search  Xexclude from comparisonYaacomo  Xexclude from comparison
DescriptionOpen-source analytics data store designed for OLAP queries on timeseries dataOpen source search engine for searching in data from different sources. Forked of and compatible with Sphinx.OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMS
Time Series DBMS
Search engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.83
Rank#115  Overall
#57  Relational DBMS
#7  Time Series DBMS
Score0.06
Rank#304  Overall
#16  Search engines
Score0.00
Rank#338  Overall
#136  Relational DBMS
Websitedruid.apache.orgmanticoresearch.comyaacomo.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.manticoresearch.com/­latest/­html
github.com/­manticoresoftware/­manticoresearch
DeveloperMetamarkets Group and contributorsManticore SoftwareQ2WEB GmbH
Initial release201220172009
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoGPL version 2commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsLinux
OS X
Unix
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Android
Linux
Windows
Data schemeyes infoschema-less columns are supportedyesyes
Typing infopredefined data types such as float or dateyesnoyes
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.nono
Secondary indexesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL support via Apache Calcite adapterSQL-like query languageyes
APIs and other access methodsJSON over HTTPProprietary protocolJDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnono
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes 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.noyes
User concepts infoAccess controlno infoavailable via extensionsnofine grained access rights according to SQL-standard

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More resources
DruidManticore SearchYaacomo
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10 December 2019, Datanami

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30 July 2015, ADT Magazine

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4 August 2015, Datanami

provided by Google News

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