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

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

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonHypertable  Xexclude from comparisonKeyDB  Xexclude from comparisonQuasardb  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopAn open source BigTable implementation based on distributed file systems such as HadoopAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsDistributed, high-performance timeseries database
Primary database modelRelational DBMSWide column storeKey-value storeTime Series DBMS
Secondary database modelsDocument store
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
Websiteimpala.apache.orggithub.com/­Snapchat/­KeyDB
keydb.dev
quasar.ai
Technical documentationimpala.apache.org/­impala-docs.htmldocs.keydb.devdoc.quasar.ai/­master
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaHypertable Inc.EQ Alpha Technology Ltd.quasardb
Initial release2013200920192009
Current release4.1.0, June 20220.9.8.11, March 20163.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGNU version 3. Commercial license availableOpen Source infoBSD-3commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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++C++
Server operating systemsLinuxLinux
OS X
Windows infoan inofficial Windows port is available
LinuxBSD
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnopartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes infointeger and binary
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 indexesyesrestricted infoonly exact value or prefix value scansyes infoby using the Redis Search moduleyes infowith tags
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoSQL-like query language
APIs and other access methodsJDBC
ODBC
C++ API
Thrift
Proprietary protocol infoRESP - REdis Serialization ProtocoHTTP API
Supported programming languagesAll languages supporting JDBC/ODBCC++
Java
Perl
PHP
Python
Ruby
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
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoLuano
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor on file system levelMulti-source replication
Source-replica replication
Source-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integritynononono
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 infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient mode
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnosimple password-based access control and ACLCryptographically strong user authentication and audit trail

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More resources
Apache ImpalaHypertableKeyDBQuasardb
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