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DBMS > Druid vs. Interbase vs. Manticore Search

System Properties Comparison Druid vs. Interbase vs. Manticore Search

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Editorial information provided by DB-Engines
NameDruid  Xexclude from comparisonInterbase  Xexclude from comparisonManticore Search  Xexclude from comparison
DescriptionOpen-source analytics data store designed for OLAP queries on timeseries dataLight-weight proven RDBMS infooriginally from BorlandOpen source search engine for searching in data from different sources. Forked of and compatible with Sphinx.
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSSearch engine
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
Score6.34
Rank#51  Overall
#30  Relational DBMS
Score0.06
Rank#304  Overall
#16  Search engines
Websitedruid.apache.orgwww.embarcadero.com/­products/­interbasemanticoresearch.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.embarcadero.com/­products/­interbasedocs.manticoresearch.com/­latest/­html
github.com/­manticoresoftware/­manticoresearch
DeveloperMetamarkets Group and contributorsEmbarcaderoManticore Software
Initial release201219842017
Current releaseInterBase 2017, March 2017
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoGPL version 2
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC++
Server operating systemsLinux
OS X
Unix
Android
iOS
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyes infoschema-less columns are supportedyesyes
Typing infopredefined data types such as float or dateyesyesno
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 infoexport as XML data possible
Secondary indexesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL support via Apache Calcite adapteryesSQL-like query language
APIs and other access methodsJSON over HTTPADO.NET
JDBC
ODBC
Proprietary protocol
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoyes infoInterbase procedure and trigger languageno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesInterbase Change Viewsnone
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 integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.
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 extensionsfine grained access rights according to SQL-standardno

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More resources
DruidInterbaseManticore Search
Recent citations in the news

What's Behind Lyft's Choices in Big Data Tech
10 May 2019, Datanami

Imply launches with $2M to commercialize the Druid open-source data store
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14 December 2015, Business Wire

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14 November 2017, Business Wire

provided by Google News

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