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DBMS > Apache Doris vs. CrateDB vs. Quasardb vs. Sadas Engine

System Properties Comparison Apache Doris vs. CrateDB vs. Quasardb vs. Sadas Engine

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonCrateDB  Xexclude from comparisonQuasardb  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolDistributed Database based on LuceneDistributed, high-performance timeseries databaseSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMSDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Time Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#217  Overall
#100  Relational DBMS
Score0.76
Rank#226  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#18  Time Series DBMS
#8  Vector DBMS
Score0.19
Rank#330  Overall
#30  Time Series DBMS
Score0.06
Rank#371  Overall
#155  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
cratedb.comquasar.aiwww.sadasengine.com
Technical documentationgithub.com/­apache/­doris/­wikicratedb.com/­docsdoc.quasar.ai/­masterwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperApache Software Foundation, originally contributed from BaiduCratequasardbSADAS s.r.l.
Initial release2017201320092006
Current release1.2.2, February 20233.14.1, January 20248.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenononono
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 languageJavaJavaC++C++
Server operating systemsLinuxAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportBSD
Linux
OS X
Windows
AIX
Linux
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes
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.nononono
Secondary indexesyesyesyes infowith tagsyes
SQL infoSupport of SQLyesyes, but no triggers and constraints, and PostgreSQL compatibilitySQL-like query languageyes
APIs and other access methodsJDBC
MySQL client
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
HTTP APIJDBC
ODBC
Proprietary protocol
Supported programming languagesJava.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
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsuser defined functions (Javascript)nono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infoconsistent hashinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneConfigurable replication on table/partition-levelSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Read-after-write consistency on record level
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano 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 persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient modeyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlfine grained access rights according to SQL-standardrights management via user accountsCryptographically strong user authentication and audit trailAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Apache DorisCrateDBQuasardbSadas Engine
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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Apache DorisCrateDBQuasardbSadas Engine
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