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DBMS > Alibaba Cloud Table Store vs. Apache Impala vs. Databend vs. Riak TS

System Properties Comparison Alibaba Cloud Table Store vs. Apache Impala vs. Databend vs. Riak TS

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Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonApache Impala  Xexclude from comparisonDatabend  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessAnalytic DBMS for HadoopAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelWide column storeRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Websitewww.alibabacloud.com/­product/­table-storeimpala.apache.orggithub.com/­datafuselabs/­databend
www.databend.com
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoreimpala.apache.org/­impala-docs.htmldocs.databend.comwww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperAlibabaApache Software Foundation infoApache top-level project, originally developed by ClouderaDatabend LabsOpen Source, formerly Basho Technologies
Initial release2016201320212015
Current release4.1.0, June 20221.0.59, April 20233.0.0, September 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source
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 languageC++RustErlang
Server operating systemshostedLinuxhosted
Linux
macOS
Linux
OS X
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesnoyesnorestricted
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesyes, limited
APIs and other access methodsHTTP APIJDBC
ODBC
CLI Client
JDBC
RESTful HTTP API
HTTP API
Native Erlang Interface
Supported programming languagesJava
Python
All languages supporting JDBC/ODBCGo
Java
JavaScript (Node.js)
Python
Rust
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reducenoErlang
Triggersnononoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication factornoneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoyesno
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 controlAccess rights based on subaccounts and tokensAccess rights for users, groups and roles infobased on Apache Sentry and KerberosUsers with fine-grained authorization concept, user rolesno

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More resources
Alibaba Cloud Table StoreApache ImpalaDatabendRiak TS
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