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DBMS > Apache Impala vs. InfluxDB vs. KeyDB vs. LeanXcale

System Properties Comparison Apache Impala vs. InfluxDB vs. KeyDB vs. LeanXcale

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonInfluxDB  Xexclude from comparisonKeyDB  Xexclude from comparisonLeanXcale  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopDBMS for storing time series, events and metricsAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelRelational DBMSTime Series DBMSKey-value storeKey-value store
Relational DBMS
Secondary database modelsDocument storeSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score22.12
Rank#28  Overall
#1  Time Series DBMS
Score0.63
Rank#232  Overall
#32  Key-value stores
Score0.28
Rank#286  Overall
#41  Key-value stores
#130  Relational DBMS
Websiteimpala.apache.orgwww.influxdata.com/­products/­influxdb-overviewgithub.com/­Snapchat/­KeyDB
keydb.dev
www.leanxcale.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.influxdata.com/­influxdbdocs.keydb.dev
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaEQ Alpha Technology Ltd.LeanXcale
Initial release2013201320192015
Current release4.1.0, June 20222.7.6, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoMIT-License; commercial enterprise version availableOpen Source infoBSD-3commercial
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++GoC++
Server operating systemsLinuxLinux
OS X infothrough Homebrew
Linux
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesNumeric data and Stringspartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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 infoby using the Redis Search module
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languagenoyes infothrough Apache Derby
APIs and other access methodsJDBC
ODBC
HTTP API
JSON over UDP
Proprietary protocol infoRESP - REdis Serialization ProtocoJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesAll languages supporting JDBC/ODBC.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C
Java
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoLua
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlySharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infoin enterprise version onlyMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoOptimistic locking, atomic execution of commands blocks and scriptsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoDepending on used storage engineyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberossimple rights management via user accountssimple password-based access control and ACL
More information provided by the system vendor
Apache ImpalaInfluxDBKeyDBLeanXcale
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Apache ImpalaInfluxDBKeyDBLeanXcale
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