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DBMS > Apache Impala vs. Cachelot.io vs. Citus vs. eXtremeDB

System Properties Comparison Apache Impala vs. Cachelot.io vs. Citus vs. eXtremeDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCachelot.io  Xexclude from comparisonCitus  Xexclude from comparisoneXtremeDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopIn-memory caching systemScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLNatively in-memory DBMS with options for persistency, high-availability and clustering
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMS
Time Series DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.04
Rank#388  Overall
#62  Key-value stores
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Websiteimpala.apache.orgcachelot.iowww.citusdata.comwww.mcobject.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.citusdata.comwww.mcobject.com/­docs/­extremedb.htm
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaMcObject
Initial release2013201520102001
Current release4.1.0, June 20228.1, December 20188.2, 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoSimplified BSD LicenseOpen Source infoAGPL, commercial license also availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++CC and C++
Server operating systemsLinuxFreeBSD
Linux
OS X
LinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
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.nonoyes infospecific XML type available, but no XML query functionalityno infosupport of XML interfaces available
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infostandard, with numerous extensionsyes infowith the option: eXtremeSQL
APIs and other access methodsJDBC
ODBC
Memcached protocolADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Java
Lua
Python
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes
Triggersnonoyesyes infoby defining events
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardinghorizontal partitioning / sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneSource-replica replication infoother methods possible by using 3rd party extensionsActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies available
Durability infoSupport for making data persistentyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnofine grained access rights according to SQL-standard
More information provided by the system vendor
Apache ImpalaCachelot.ioCituseXtremeDB
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
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...
» more

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More resources
Apache ImpalaCachelot.ioCituseXtremeDB
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