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DBMS > Apache Druid vs. Infobright vs. Pinecone vs. Valentina Server

System Properties Comparison Apache Druid vs. Infobright vs. Pinecone vs. Valentina Server

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonInfobright  Xexclude from comparisonPinecone  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendA managed, cloud-native vector databaseObject-relational database and reports server
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitedruid.apache.orgignitetech.com/­softwarelibrary/­infobrightdbwww.pinecone.iowww.valentina-db.net
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.pinecone.io/­docs/­overviewvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperApache Software Foundation and contributorsIgnite Technologies Inc.; formerly InfoBright Inc.Pinecone Systems, IncParadigma Software
Initial release2012200520191999
Current release29.0.1, April 20245.7.5
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC
Server operating systemsLinux
OS X
Unix
Linux
Windows
hostedLinux
OS X
Windows
Data schemeyes infoschema-less columns are supportedyesyes
Typing infopredefined data types such as float or dateyesyesString, Number, 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.nonono
Secondary indexesyesno infoKnowledge Grid Technology used insteadyes
SQL infoSupport of SQLSQL for queryingyesnoyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
RESTful HTTP APIODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Python.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnonoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
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 datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesfine grained access rights according to SQL-standard

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More resources
Apache DruidInfobrightPineconeValentina Server
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