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DBMS > Apache Impala vs. Riak KV vs. TDSQL for MySQL vs. UniData,UniVerse

System Properties Comparison Apache Impala vs. Riak KV vs. TDSQL for MySQL vs. UniData,UniVerse

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonRiak KV  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopDistributed, fault tolerant key-value storeA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.MultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMSMultivalue DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score3.84
Rank#76  Overall
#9  Key-value stores
Score0.96
Rank#192  Overall
#88  Relational DBMS
Score2.25
Rank#112  Overall
#2  Multivalue DBMS
Websiteimpala.apache.orgwww.tencentcloud.com/­products/­dcdbwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationimpala.apache.org/­impala-docs.htmlwww.tiot.jp/­riak-docs/­riak/­kv/­latestwww.tencentcloud.com/­document/­product/­1042docs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaOpenSource, formerly Basho TechnologiesTencentRocket Software
Initial release2013200920131985
Current release4.1.0, June 20223.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache version 2, commercial enterprise editioncommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ErlangC
Server operating systemsLinuxLinux
OS X
hostedAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesoptional
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.nonono
Secondary indexesyesrestrictedyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesyes
APIs and other access methodsJDBC
ODBC
HTTP API
Native Erlang Interface
JDBC
ODBC
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesAll languages supporting JDBC/ODBCC 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
C
C#
C++
Java
PHP
Python
Ruby
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceErlangyesyes
Triggersnoyes infopre-commit hooks and post-commit hooksyesyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"Automatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factorMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infolinks between data sets can be storednono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID infoconfigurable
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 for users, groups and roles infobased on Apache Sentry and Kerberosyes, using Riak SecurityUsers with fine-grained authorization conceptAccess rights according to SQL-standard and operating system based

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More resources
Apache ImpalaRiak KVTDSQL for MySQLUniData,UniVerse
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