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DBMS > Apache Doris vs. Brytlyt vs. CrateDB vs. Microsoft Azure SQL Database

System Properties Comparison Apache Doris vs. Brytlyt vs. CrateDB vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonBrytlyt  Xexclude from comparisonCrateDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLDistributed Database based on LuceneDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelRelational DBMSRelational DBMSDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMS
Secondary database modelsRelational DBMSDocument 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
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score0.73
Rank#224  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
brytlyt.iocratedb.comazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationgithub.com/­apache/­doris/­wikidocs.brytlyt.iocratedb.com/­docsdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperApache Software Foundation, originally contributed from BaiduBrytlytCrateMicrosoft
Initial release2017201620132010
Current release1.2.2, February 20235.0, August 2023V12
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
Implementation languageJavaC, C++ and CUDAJavaC++
Server operating systemsLinuxLinux
OS X
Windows
All Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supporthosted
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)yes
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.noyes infospecific XML-type available, but no XML query functionality.noyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyesyes, but no triggers and constraints, and PostgreSQL compatibilityyes
APIs and other access methodsJDBC
MySQL client
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesJava.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsuser defined functions infoin PL/pgSQLuser defined functions (Javascript)Transact SQL
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationConfigurable replication on table/partition-levelyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Read-after-write consistency on record level
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infounique row identifiers can be used for implementing an optimistic concurrency control strategyACID
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.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardrights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache DorisBrytlytCrateDBMicrosoft Azure SQL Database infoformerly SQL Azure
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more

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More resources
Apache DorisBrytlytCrateDBMicrosoft Azure SQL Database infoformerly SQL Azure
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