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DBMS > Alibaba Cloud AnalyticDB for MySQL vs. Kdb vs. Realm vs. Vitess

System Properties Comparison Alibaba Cloud AnalyticDB for MySQL vs. Kdb vs. Realm vs. Vitess

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Editorial information provided by DB-Engines
NameAlibaba Cloud AnalyticDB for MySQL  Xexclude from comparisonKdb  Xexclude from comparisonRealm  Xexclude from comparisonVitess  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.High performance Time Series DBMSA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSTime Series DBMS
Vector DBMS
Document storeRelational DBMS
Secondary database modelsDocument storeRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.91
Rank#201  Overall
#94  Relational DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitewww.alibabacloud.com/­product/­analyticdb-for-mysqlkx.comrealm.iovitess.io
Technical documentationwww.alibabacloud.com/­help/­doc-detail/­93776.htmcode.kx.comrealm.io/­docsvitess.io/­docs
DeveloperAlibabaKx Systems, a division of First Derivatives plcRealm, acquired by MongoDB in May 2019The Linux Foundation, PlanetScale
Initial release2000 infokdb was released 2000, kdb+ in 200320142013
Current release3.6, May 201815.0.2, December 2022
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versionOpen SourceOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageqGo
Server operating systemshostedLinux
OS X
Solaris
Windows
Android
Backend: server-less
iOS
Windows
Docker
Linux
macOS
Data schemeyesyesyesyes
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.yesyesno
Secondary indexesyesyes infotable attribute 'grouped'yesyes
SQL infoSupport of SQLyesSQL-like query language (q)noyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC#
Java
PHP
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesuser defined functionsno inforuns within the applications so server-side scripts are unnecessaryyes infoproprietary syntax
Triggersyesyes infowith viewsyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSource-replica replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
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.yesyesyes infoIn-Memory realmyes
User concepts infoAccess controlfine grained access rights according to SQL-standardrights management via user accountsyesUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
Alibaba Cloud AnalyticDB for MySQLKdbRealmVitess
Specific characteristicsA real-time data warehousing service that can process PB data with high concurrency...
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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...
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provides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
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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
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More resources
Alibaba Cloud AnalyticDB for MySQLKdbRealmVitess
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