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DBMS > Apache Impala vs. eXtremeDB vs. GeoMesa vs. MonetDB

System Properties Comparison Apache Impala vs. eXtremeDB vs. GeoMesa vs. MonetDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisoneXtremeDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopNatively in-memory DBMS with options for persistency, high-availability and clusteringGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A relational database management system that stores data in columns
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Spatial DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Websiteimpala.apache.orgwww.mcobject.comwww.geomesa.orgwww.monetdb.org
Technical documentationimpala.apache.org/­impala-docs.htmlwww.mcobject.com/­docs/­extremedb.htmwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.monetdb.org/­Documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaMcObjectCCRi and othersMonetDB BV
Initial release2013200120142004
Current release4.1.0, June 20228.2, 20215.0.0, May 2024Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache License 2.0Open Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++ScalaC
Server operating systemsLinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nono infosupport of XML interfaces availableno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infowith the option: eXtremeSQLnoyes infoSQL 2003 with some extensions
APIs and other access methodsJDBC
ODBC
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C#
C++
Java
Lua
Python
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesnoyes, in SQL, C, R
Triggersnoyes infoby defining eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning / shardingdepending on storage layerSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
depending on storage layernone infoSource-replica replication available in experimental status
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 Consistencydepending on storage layer
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
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.noyesdepending on storage layer
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standard
More information provided by the system vendor
Apache ImpalaeXtremeDBGeoMesaMonetDB
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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More resources
Apache ImpalaeXtremeDBGeoMesaMonetDB
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