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DBMS > Apache Druid vs. Cachelot.io vs. Google Cloud Spanner vs. Microsoft Azure SQL Database

System Properties Comparison Apache Druid vs. Cachelot.io vs. Google Cloud Spanner vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonCachelot.io  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataIn-memory caching systemA 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.Database as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
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
Score0.04
Rank#388  Overall
#62  Key-value stores
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Websitedruid.apache.orgcachelot.iocloud.google.com/­spannerazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationdruid.apache.org/­docs/­latest/­designcloud.google.com/­spanner/­docsdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperApache Software Foundation and contributorsGoogleMicrosoft
Initial release2012201520172010
Current release29.0.1, April 2024V12
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoSimplified BSD Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++
Server operating systemsLinux
OS X
Unix
FreeBSD
Linux
OS X
hostedhosted
Data schemeyes infoschema-less columns are supportedschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nononoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL for queryingnoyes infoQuery statements complying to ANSI 2011yes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Memcached protocolgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnononoTransact SQL
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneMulti-source replication with 3 replicas for regional instances.yes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoStrict serializable isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard

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More resources
Apache DruidCachelot.ioGoogle Cloud SpannerMicrosoft Azure SQL Database infoformerly SQL Azure
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