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DBMS > Apache Druid vs. NuoDB vs. Pinecone vs. Rockset vs. Solr

System Properties Comparison Apache Druid vs. NuoDB vs. Pinecone vs. Rockset vs. Solr

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonNuoDB  Xexclude from comparisonPinecone  Xexclude from comparisonRockset  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataNuoDB is a webscale distributed database that supports SQL and ACID transactionsA managed, cloud-native vector databaseA scalable, reliable search and analytics service in the cloud, built on RocksDBA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSVector DBMSDocument storeSearch engine
Secondary database modelsRelational DBMS
Search engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score41.02
Rank#24  Overall
#3  Search engines
Websitedruid.apache.orgwww.3ds.com/­nuodb-distributed-sql-databasewww.pinecone.iorockset.comsolr.apache.org
Technical documentationdruid.apache.org/­docs/­latest/­designdoc.nuodb.comdocs.pinecone.io/­docs/­overviewdocs.rockset.comsolr.apache.org/­resources.html
DeveloperApache Software Foundation and contributorsDassault Systèmes infooriginally NuoDB, Inc.Pinecone Systems, IncRocksetApache Software Foundation
Initial release20122013201920192006
Current release29.0.1, April 20249.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infolimited edition freecommercialcommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++Java
Server operating systemsLinux
OS X
Unix
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
hostedhostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyes infoschema-less columns are supportedyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesString, Number, Booleandynamic typingyes infosupports customizable data types and automatic typing
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.nononono infoingestion from XML files supportedyes
Secondary indexesyesyesall fields are automatically indexedyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL for queryingyesnoRead-only SQL queries, including JOINsSolr Parallel SQL Interface
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
RESTful HTTP APIHTTP RESTJava API
RESTful HTTP/JSON API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
PythonGo
Java
JavaScript (Node.js)
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoJava, SQLnoJava plugins
Triggersnoyesnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-baseddata is dynamically stored/cached on the nodes where it is read/writtenAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes infoManaged transparently by NuoDByesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infotunable commit protocolnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTemporary tablenoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemStandard SQL roles/ privileges, Administrative UsersAccess rights for users and organizations can be defined via Rockset consoleyes

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More resources
Apache DruidNuoDBPineconeRocksetSolr
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