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DBMS > Apache Impala vs. LeanXcale vs. SiteWhere vs. SQL.JS

System Properties Comparison Apache Impala vs. LeanXcale vs. SiteWhere vs. SQL.JS

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonLeanXcale  Xexclude from comparisonSiteWhere  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesM2M integration platform for persisting/querying time series dataPort of SQLite to JavaScript
Primary database modelRelational DBMSKey-value store
Relational DBMS
Time Series DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score0.63
Rank#241  Overall
#112  Relational DBMS
Websiteimpala.apache.orgwww.leanxcale.comgithub.com/­sitewhere/­sitewheresql.js.org
Technical documentationimpala.apache.org/­impala-docs.htmlsitewhere1.sitewhere.io/­index.htmlsql.js.org/­documentation/­index.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaLeanXcaleSiteWhereAlon Zakai infoenhancements implemented by others
Initial release2013201520102012
Current release4.1.0, June 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoCommon Public Attribution License Version 1.0Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJavaScript
Server operating systemsLinuxLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesyespredefined schemeyes
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.nonono
Secondary indexesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infothrough Apache Derbynoyes infoSQL-92 is not fully supported
APIs and other access methodsJDBC
ODBC
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
HTTP RESTJavaScript API
Supported programming languagesAll languages supporting JDBC/ODBCC
Java
Scala
JavaScript
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infobased on HBasenone
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 Consistencynone
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosUsers with fine-grained authorization conceptno

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More resources
Apache ImpalaLeanXcaleSiteWhereSQL.JS
DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

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Recent citations in the news

Apache Impala becomes Top-Level Project
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