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DBMS > Apache Druid vs. Microsoft SQL Server vs. Snowflake vs. Warp 10

System Properties Comparison Apache Druid vs. Microsoft SQL Server vs. Snowflake vs. Warp 10

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSnowflake  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataMicrosofts flagship relational DBMSCloud-based data warehousing service for structured and semi-structured dataTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score807.76
Rank#3  Overall
#3  Relational DBMS
Score133.72
Rank#7  Overall
#5  Relational DBMS
Score0.06
Rank#351  Overall
#35  Time Series DBMS
Websitedruid.apache.orgwww.microsoft.com/­en-us/­sql-serverwww.snowflake.comwww.warp10.io
Technical documentationdruid.apache.org/­docs/­latest/­designlearn.microsoft.com/­en-US/­sql/­sql-serverdocs.snowflake.net/­manuals/­index.htmlwww.warp10.io/­content/­02_Getting_started
DeveloperApache Software Foundation and contributorsMicrosoftSnowflake Computing Inc.SenX
Initial release2012198920142015
Current release30.0.0, June 2024SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoApache license v2commercial inforestricted free version is availablecommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemsLinux
OS X
Unix
Linux
Windows
hostedLinux
OS X
Windows
Data schemeyes infoschema-less columns are supportedyesyes infosupport of semi-structured data formats (JSON, XML, Avro)schema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesyesno
Secondary indexesyesyesno
SQL infoSupport of SQLSQL for queryingyesyesno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
CLI Client
JDBC
ODBC
HTTP API
Jupyter
WebSocket
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javauser defined functionsyes infoWarpScript
Triggersnoyesno infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedtables can be distributed across several files (horizontal partitioning); sharding through federationyesSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes, but depending on the SQL-Server Editionyesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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-standardUsers with fine-grained authorization concept, user roles and pluggable authenticationMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Apache DruidMicrosoft SQL ServerSnowflakeWarp 10
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Conferences, events and webinars

PASS Data Community Summit
Seattle, Washington, 4-8 November 2024

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