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DBMS > Apache Impala vs. Microsoft Azure Table Storage vs. openGemini vs. UniData,UniVerse

System Properties Comparison Apache Impala vs. Microsoft Azure Table Storage vs. openGemini vs. UniData,UniVerse

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonopenGemini  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA Wide Column Store for rapid development using massive semi-structured datasetsAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelRelational DBMSWide column storeTime Series DBMSMultivalue DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score3.55
Rank#80  Overall
#6  Wide column stores
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score2.25
Rank#112  Overall
#2  Multivalue DBMS
Websiteimpala.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tableswww.opengemini.org
github.com/­openGemini
www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationimpala.apache.org/­impala-docs.htmldocs.opengemini.org/­guidedocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaMicrosoftHuawei and openGemini communityRocket Software
Initial release2013201220221985
Current release4.1.0, June 20221.1, July 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoC
Server operating systemsLinuxhostedLinux
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesInteger, Float, Boolean, Stringoptional
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 indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIHTTP RESTJava API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonoyes
Triggersnononoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingnoACID 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.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights based on private key authentication or shared access signaturesAdministrators and common users accountsAccess rights according to SQL-standard and operating system based

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More resources
Apache ImpalaMicrosoft Azure Table StorageopenGeminiUniData,UniVerse
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