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DBMS > Apache Impala vs. LevelDB vs. Netezza vs. SQL.JS

System Properties Comparison Apache Impala vs. LevelDB vs. Netezza vs. SQL.JS

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonLevelDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesData warehouse and analytics appliance part of IBM PureSystemsPort of SQLite to JavaScript
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational 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
Score2.35
Rank#111  Overall
#19  Key-value stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.53
Rank#252  Overall
#116  Relational DBMS
Websiteimpala.apache.orggithub.com/­google/­leveldbwww.ibm.com/­products/­netezzasql.js.org
Technical documentationimpala.apache.org/­impala-docs.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdsql.js.org/­documentation/­index.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaGoogleIBMAlon Zakai infoenhancements implemented by others
Initial release2013201120002012
Current release4.1.0, June 20221.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoBSDcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++JavaScript
Server operating systemsLinuxIllumos
Linux
OS X
Windows
Linux infoincluded in applianceserver-less, requires a JavaScript environment (browser, Node.js)
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.nonono
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesyes infoSQL-92 is not fully supported
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
OLE DB
JavaScript API
Supported programming languagesAll languages supporting JDBC/ODBCC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C++
Fortran
Java
Lua
Perl
Python
R
JavaScript
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyesno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesno 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.noyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoUsers with fine-grained authorization conceptno

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More resources
Apache ImpalaLevelDBNetezza infoAlso called PureData System for Analytics by IBMSQL.JS
DB-Engines blog posts

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