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DBMS > Apache Doris vs. EXASOL vs. Google BigQuery vs. Microsoft SQL Server vs. OpenTSDB

System Properties Comparison Apache Doris vs. EXASOL vs. Google BigQuery vs. Microsoft SQL Server vs. OpenTSDB

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonEXASOL  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonOpenTSDB  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Large scale data warehouse service with append-only tablesMicrosofts flagship relational DBMSScalable Time Series DBMS based on HBase
Primary database modelRelational DBMSRelational DBMSRelational 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
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Websitedoris.apache.org
github.com/­apache/­doris
www.exasol.comcloud.google.com/­bigquerywww.microsoft.com/­en-us/­sql-serveropentsdb.net
Technical documentationgithub.com/­apache/­doris/­wikiwww.exasol.com/­resourcescloud.google.com/­bigquery/­docslearn.microsoft.com/­en-US/­sql/­sql-serveropentsdb.net/­docs/­build/­html/­index.html
DeveloperApache Software Foundation, originally contributed from BaiduExasolGoogleMicrosoftcurrently maintained by Yahoo and other contributors
Initial release20172000201019892011
Current release1.2.2, February 2023SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercial inforestricted free version is availableOpen Source infoLGPL
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Java
Server operating systemsLinuxhostedLinux
Windows
Linux
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesnumeric data for metrics, strings for tags
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.nononoyesno
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLyesyesyesyesno
APIs and other access methodsJDBC
MySQL client
.Net
JDBC
ODBC
WebSocket
RESTful HTTP/JSON APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
HTTP API
Telnet API
Supported programming languagesJavaJava
Lua
Python
R
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Erlang
Go
Java
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsuser defined functions infoin JavaScriptTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnonetables can be distributed across several files (horizontal partitioning); sharding through federationSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, but depending on the SQL-Server Editionselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataACIDno
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.noyesnoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standardno

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More resources
Apache DorisEXASOLGoogle BigQueryMicrosoft SQL ServerOpenTSDB
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