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DBMS > Apache Impala vs. LeanXcale vs. mSQL vs. SpaceTime

System Properties Comparison Apache Impala vs. LeanXcale vs. mSQL vs. SpaceTime

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonLeanXcale  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSpaceTime  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesmSQL (Mini SQL) is a simple and lightweight RDBMSSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMSSpatial DBMS
Secondary database modelsDocument storeRelational DBMS
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
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Websiteimpala.apache.orgwww.leanxcale.comhughestech.com.au/­products/­msqlwww.mireo.com/­spacetime
Technical documentationimpala.apache.org/­impala-docs.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaLeanXcaleHughes TechnologiesMireo
Initial release2013201519942020
Current release4.1.0, June 20224.4, October 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial infofree licenses can be providedcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CC++
Server operating systemsLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Data schemeyesyesyesyes
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 indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infothrough Apache DerbyA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersA subset of ANSI SQL is implemented
APIs and other access methodsJDBC
ODBC
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JDBC
ODBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCC
Java
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
C#
C++
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneReal-time block device replication (DRBD)
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 ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnoyes

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More resources
Apache ImpalaLeanXcalemSQL infoMini SQLSpaceTime
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