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DBMS > Apache Impala vs. JSqlDb vs. Microsoft Azure Synapse Analytics vs. Yaacomo

System Properties Comparison Apache Impala vs. JSqlDb vs. Microsoft Azure Synapse Analytics vs. Yaacomo

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonJSqlDb  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonYaacomo  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionAnalytic DBMS for HadoopJavaScript Query Language Database, stores JavaScript objects and primitivesElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSDocument store
Object oriented DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.06
Rank#39  Overall
#24  Relational DBMS
Score23.95
Rank#30  Overall
#18  Relational DBMS
Websiteimpala.apache.orgjsqldb.org (offline)azure.microsoft.com/­services/­synapse-analyticsyaacomo.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.microsoft.com/­azure/­synapse-analytics
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaKonrad von BackstromMicrosoftQ2WEB GmbH
Initial release2013201820162009
Current release4.1.0, June 20220.8, December 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemsLinuxLinux
macOS
Windows
hostedAndroid
Linux
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesyes
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCJavaScriptC#
Java
PHP
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducefunctions in JavaScriptTransact SQL
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding, horizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneyesSource-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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing RocksDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyesfine grained access rights according to SQL-standard

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More resources
Apache ImpalaJSqlDbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseYaacomo
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