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DBMS > Alibaba Cloud AnalyticDB for MySQL vs. EsgynDB vs. Kdb vs. Linter vs. Qdrant

System Properties Comparison Alibaba Cloud AnalyticDB for MySQL vs. EsgynDB vs. Kdb vs. Linter vs. Qdrant

Editorial information provided by DB-Engines
NameAlibaba Cloud AnalyticDB for MySQL  Xexclude from comparisonEsgynDB  Xexclude from comparisonKdb  Xexclude from comparisonLinter  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionA real-time data warehousing service that can process petabytes of data with high concurrency and low latency. It is fully compatible with the MySQL protocol.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionHigh performance Time Series DBMSRDBMS for high security requirementsA high-performance vector database with neural network or semantic-based matching
Primary database modelRelational DBMSRelational DBMSTime Series DBMS
Vector DBMS
Relational DBMSVector DBMS
Secondary database modelsDocument storeRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.91
Rank#201  Overall
#94  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score1.28
Rank#167  Overall
#8  Vector DBMS
Websitewww.alibabacloud.com/­product/­analyticdb-for-mysqlwww.esgyn.cnkx.comlinter.rugithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationwww.alibabacloud.com/­help/­doc-detail/­93776.htmcode.kx.comqdrant.tech/­documentation
DeveloperAlibabaEsgynKx Systems, a division of First Derivatives plcrelex.ruQdrant
Initial release20152000 infokdb was released 2000, kdb+ in 200319902021
Current release3.6, May 2018
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree 32-bit versioncommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaqC and C++Rust
Server operating systemshostedLinuxLinux
OS X
Solaris
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Docker
Linux
macOS
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesNumbers, Strings, Geo, Boolean
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.yesnoyesnono
Secondary indexesyesyesyes infotable attribute 'grouped'yesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLyesyesSQL-like query language (q)yesno
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesC#
Java
PHP
Python
All languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyesJava Stored Proceduresuser defined functionsyes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersyesnoyes infowith viewsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardinghorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication between multi datacentersSource-replica replicationSource-replica replicationCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integrityyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
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.yesnoyesyes
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-standardKey-based authentication
More information provided by the system vendor
Alibaba Cloud AnalyticDB for MySQLEsgynDBKdbLinterQdrant
Specific characteristicsA real-time data warehousing service that can process PB data with high concurrency...
» more
Integrated columnar database & programming system for streaming, real time and historical...
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Competitive advantagesTPC Benchmark: The world leading result in TPC-DS benchmark . TPC-H benchmark for...
» more
provides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsAvailable regions: America US Virginia US Silicon Valley Asia China Hong Kong India...
» more
upon request
» more

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More resources
Alibaba Cloud AnalyticDB for MySQLEsgynDBKdbLinterQdrant
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