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DBMS > 4D vs. Impala vs. LeanXcale

System Properties Comparison 4D vs. Impala vs. LeanXcale

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonImpala  Xexclude from comparisonLeanXcale  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemAnalytic DBMS for HadoopA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.95
Rank#100  Overall
#53  Relational DBMS
Score18.71
Rank#38  Overall
#23  Relational DBMS
Score0.23
Rank#283  Overall
#42  Key-value stores
#131  Relational DBMS
Websitewww.4d.comwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlwww.leanxcale.com
Technical documentationlivedoc.4d.comdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
Developer4D, IncClouderaLeanXcale
Initial release198420132015
Current releasev18 R5, January 20214.0.0, July 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemsOS X
Windows
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes
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.yesno
Secondary indexesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92SQL-like DML and DDL statementsyes infothrough Apache Derby
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
ODBC
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languages4D proprietary IDE
PHP
All languages supporting JDBC/ODBCC
Java
Scala
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduce
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
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 controlUsers and groupsAccess rights for users, groups and roles infobased on Apache Sentry and Kerberos
More information provided by the system vendor
4D infoformer name: 4th DimensionImpalaLeanXcale
Specific characteristicsFull ACID and full SQL operational database with analytical queries over operational...
» more
Competitive advantagesLinear scalability upto 100s of nodes (tested with 100 nodes and TPC-C).
» more
Typical application scenariosHybrid Transactional-Analytical Processing (HTAP) requiring an operational database...
» more
Key customersbanking/finance/fintech, telco, insurance, traveltech, M2M/IoT, retail
» more
Market metrics15 beta testers
» more
Licensing and pricing modelsannual fee covering license and support based on number of physical cores
» more

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More resources
4D infoformer name: 4th DimensionImpalaLeanXcale
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Recent citations in the news

Cloudera Boosts Hadoop App Development On Impala
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24 October 2012, Wired

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