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DBMS > Apache Impala vs. KeyDB vs. Quasardb vs. Vitess

System Properties Comparison Apache Impala vs. KeyDB vs. Quasardb vs. Vitess

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonKeyDB  Xexclude from comparisonQuasardb  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsDistributed, high-performance timeseries databaseScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSKey-value storeTime Series 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
Score0.70
Rank#229  Overall
#32  Key-value stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websiteimpala.apache.orggithub.com/­Snapchat/­KeyDB
keydb.dev
quasar.aivitess.io
Technical documentationimpala.apache.org/­impala-docs.htmldocs.keydb.devdoc.quasar.ai/­mastervitess.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaEQ Alpha Technology Ltd.quasardbThe Linux Foundation, PlanetScale
Initial release2013201920092013
Current release4.1.0, June 20223.14.1, January 202415.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoBSD-3commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++Go
Server operating systemsLinuxLinuxBSD
Linux
OS X
Windows
Docker
Linux
macOS
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes infointeger and binaryyes
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 indexesyesyes infoby using the Redis Search moduleyes infowith tagsyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query languageyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
Proprietary protocol infoRESP - REdis Serialization ProtocoHTTP APIADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC
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
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceLuanoyes infoproprietary syntax
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
Source-replica replication with selectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoOptimistic locking, atomic execution of commands blocks and scriptsACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient modeyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberossimple password-based access control and ACLCryptographically strong user authentication and audit trailUsers with fine-grained authorization concept infono user groups or roles

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More resources
Apache ImpalaKeyDBQuasardbVitess
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