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DBMS > Apache Druid vs. Drizzle vs. Impala vs. Microsoft SQL Server vs. ToroDB

System Properties Comparison Apache Druid vs. Drizzle vs. Impala vs. Microsoft SQL Server vs. ToroDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDrizzle  Xexclude from comparisonImpala  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonToroDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Analytic DBMS for HadoopMicrosofts flagship relational DBMSA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.73
Rank#111  Overall
#57  Relational DBMS
#6  Time Series DBMS
Score17.56
Rank#40  Overall
#25  Relational DBMS
Score944.96
Rank#3  Overall
#3  Relational DBMS
Score0.03
Rank#342  Overall
#45  Document stores
Websitedruid.apache.orgwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlwww.microsoft.com/­en-us/­sql-serverwww.torodb.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmldocs.microsoft.com/­en-US/­sql/­sql-serverwww.torodb.com/­stampede/­docs
DeveloperApache Software Foundation and contributorsDrizzle project, originally started by Brian AkerClouderaMicrosoft8Kdata
Initial release20122008201319892016
Current release0.22.1, December 20217.2.4, September 20124.0.0, July 2021SQL Server 2019, November 2019
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoGNU GPLOpen Source infoApache Version 2commercial inforestricted free version is availableOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++C++Java
Server operating systemsLinux
OS X
Unix
FreeBSD
Linux
OS X
LinuxLinux
Windows
All OS with a Java 7 VM
Data schemeyes infoschema-less columns are supportedyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infostring, integer, double, boolean, date, object_id
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.nonoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL for queryingyes infowith proprietary extensionsSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBCJDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C++
Java
PHP
All languages supporting JDBC/ODBCC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresnonoyes infouser defined functions and integration of map-reduceTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersnono infohooks for callbacks inside the server can be used.noyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingShardingtables can be distributed across several files (horizontal partitioning); sharding through federationSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication
Source-replica replication
selectable replication factoryes, but depending on the SQL-Server EditionSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nonoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
Apache DruidDrizzleImpalaMicrosoft SQL ServerToroDB
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