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DBMS > Apache Impala vs. searchxml vs. Yaacomo

System Properties Comparison Apache Impala vs. searchxml vs. Yaacomo

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonsearchxml  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionAnalytic DBMS for HadoopDBMS for structured and unstructured content wrapped with an application serverOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSNative XML DBMS
Search engine
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Websiteimpala.apache.orgwww.searchxml.net/­category/­productsyaacomo.com
Technical documentationimpala.apache.org/­impala-docs.htmlwww.searchxml.net/­support/­handouts
DeveloperApache Software Foundation infoApache top-level project, originally developed by Clouderainformationpartners gmbhQ2WEB GmbH
Initial release201320152009
Current release4.1.0, June 20221.0
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemsLinuxWindowsAndroid
Linux
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
WebDAV
XQuery
XSLT
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infoon the application server
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infosychronisation to multiple collectionsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanomultiple readers, single writerACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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 KerberosDomain, group and role-based access control at the document level and for application servicesfine grained access rights according to SQL-standard

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More resources
Apache ImpalasearchxmlYaacomo
Recent citations in the news

Apache Impala becomes Top-Level Project
28 November 2017, SDTimes.com

Cloudera Bringing Impala to AWS Cloud
28 November 2017, Datanami

Apache Doris just 'graduated': Why care about this SQL data warehouse
24 June 2022, InfoWorld

Hudi: Uber Engineering’s Incremental Processing Framework on Apache Hadoop
12 March 2017, Uber

Updates & Upserts in Hadoop Ecosystem with Apache Kudu
27 October 2017, KDnuggets

provided by Google News



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