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DBMS > Apache Druid vs. Google Cloud Spanner vs. OushuDB vs. Quasardb vs. Valentina Server

System Properties Comparison Apache Druid vs. Google Cloud Spanner vs. OushuDB vs. Quasardb vs. Valentina Server

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonOushuDB  Xexclude from comparisonQuasardb  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.A data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningDistributed, high-performance timeseries databaseObject-relational database and reports server
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSTime Series DBMSRelational 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
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score0.10
Rank#355  Overall
#154  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitedruid.apache.orgcloud.google.com/­spannerwww.oushu.com/­product/­oushuDBquasar.aiwww.valentina-db.net
Technical documentationdruid.apache.org/­docs/­latest/­designcloud.google.com/­spanner/­docswww.oushu.com/­documentationdoc.quasar.ai/­mastervalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperApache Software Foundation and contributorsGoogleOushuquasardbParadigma Software
Initial release2012201720091999
Current release29.0.1, April 20244.0.1, August 20203.14.1, January 20245.7.5
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsLinux
OS X
Unix
hostedLinuxBSD
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binaryyes
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 indexesyesyesyesyes infowith tagsyes
SQL infoSupport of SQLSQL for queryingyes infoQuery statements complying to ANSI 2011Full-featured ANSI SQL supportSQL-like query languageyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JDBC
ODBC
HTTP APIODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
C
C++
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnonoyesnoyes
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingyesSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication with 3 replicas for regional instances.Source-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud DataflowHadoop integrationwith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoStrict serializable isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient modeyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Kerberos, SSL and role based accessCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standard

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More resources
Apache DruidGoogle Cloud SpannerOushuDBQuasardbValentina Server
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