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DBMS > Alibaba Cloud Table Store vs. Hive vs. Ignite vs. Kdb

System Properties Comparison Alibaba Cloud Table Store vs. Hive vs. Ignite vs. Kdb

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Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonHive  Xexclude from comparisonIgnite  Xexclude from comparisonKdb  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessdata warehouse software for querying and managing large distributed datasets, built on HadoopApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.High performance Time Series DBMS
Primary database modelWide column storeRelational DBMSKey-value store
Relational DBMS
Time Series DBMS
Vector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.24
Rank#310  Overall
#12  Wide column stores
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score3.64
Rank#89  Overall
#13  Key-value stores
#48  Relational DBMS
Score7.70
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Websitewww.alibabacloud.com/­product/­table-storehive.apache.orgignite.apache.orgkx.com
Technical documentationwww.alibabacloud.com/­help/­en/­tablestorecwiki.apache.org/­confluence/­display/­Hive/­Homeapacheignite.readme.io/­docscode.kx.com
DeveloperAlibabaApache Software Foundation infoinitially developed by FacebookApache Software FoundationKx Systems, a division of First Derivatives plc
Initial release2016201220152000 infokdb was released 2000, kdb+ in 2003
Current release3.1.3, April 2022Apache Ignite 2.63.6, May 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache 2.0commercial infofree 32-bit version
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java, .Netq
Server operating systemshostedAll OS with a Java VMLinux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesyes
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.noyesyes
Secondary indexesnoyesyesyes infotable attribute 'grouped'
SQL infoSupport of SQLnoSQL-like DML and DDL statementsANSI-99 for query and DML statements, subset of DDLSQL-like query language (q)
APIs and other access methodsHTTP APIJDBC
ODBC
Thrift
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesJava
Python
C++
Java
PHP
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyes (compute grid and cache interceptors can be used instead)user defined functions
Triggersnonoyes (cache interceptors and events)yes infowith views
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication factoryes (replicated cache)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyes (compute grid and hadoop accelerator)no infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACIDno
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.noyesyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensAccess rights for users, groups and rolesSecurity Hooks for custom implementationsrights management via user accounts
More information provided by the system vendor
Alibaba Cloud Table StoreHiveIgniteKdb
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides 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 modelsupon request
» more

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Alibaba Cloud Table StoreHiveIgniteKdb
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