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DBMS > Apache Impala vs. Hyprcubd vs. Ingres vs. KeyDB vs. SwayDB

System Properties Comparison Apache Impala vs. Hyprcubd vs. Ingres vs. KeyDB vs. SwayDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonHyprcubd  Xexclude from comparisonIngres  Xexclude from comparisonKeyDB  Xexclude from comparisonSwayDB  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopServerless Time Series DBMSWell established RDBMSAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMSTime Series DBMSRelational DBMSKey-value storeKey-value store
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
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score0.70
Rank#229  Overall
#32  Key-value stores
Score0.04
Rank#387  Overall
#61  Key-value stores
Websiteimpala.apache.orghyprcubd.com (offline)www.actian.com/­databases/­ingresgithub.com/­Snapchat/­KeyDB
keydb.dev
swaydb.simer.au
Technical documentationimpala.apache.org/­impala-docs.htmldocs.actian.com/­ingresdocs.keydb.dev
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaHyprcubd, Inc.Actian CorporationEQ Alpha Technology Ltd.Simer Plaha
Initial release20131974 infooriginally developed at University Berkely in early 1970s20192018
Current release4.1.0, June 202211.2, May 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialOpen Source infoBSD-3Open Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoCC++Scala
Server operating systemsLinuxhostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesno
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 infobut tools for importing/exporting data from/to XML-files availablenono
Secondary indexesyesnoyesyes infoby using the Redis Search moduleno
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageyesnono
APIs and other access methodsJDBC
ODBC
gRPC (https).NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Proprietary protocol infoRESP - REdis Serialization Protoco
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
Java
Kotlin
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyesLuano
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorIngres ReplicatorMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDOptimistic locking, atomic execution of commands blocks and scriptsAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesnoyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.nononoyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberostoken accessfine grained access rights according to SQL-standardsimple password-based access control and ACLno

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More resources
Apache ImpalaHyprcubdIngresKeyDBSwayDB
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