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DBMS > Amazon Redshift vs. Apache Impala vs. HarperDB vs. ObjectBox

System Properties Comparison Amazon Redshift vs. Apache Impala vs. HarperDB vs. ObjectBox

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonApache Impala  Xexclude from comparisonHarperDB  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsAnalytic DBMS for HadoopUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Extremely fast embedded database for small devices, IoT and Mobile
Primary database modelRelational DBMSRelational DBMSDocument storeObject oriented DBMS
Secondary database modelsDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.88
Rank#35  Overall
#22  Relational DBMS
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Websiteaws.amazon.com/­redshiftimpala.apache.orgwww.harperdb.ioobjectbox.io
Technical documentationdocs.aws.amazon.com/­redshiftimpala.apache.org/­impala-docs.htmldocs.harperdb.io/­docsdocs.objectbox.io
DeveloperAmazon (based on PostgreSQL)Apache Software Foundation infoApache top-level project, originally developed by ClouderaHarperDBObjectBox Limited
Initial release2012201320172017
Current release4.1.0, June 20223.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial infofree community edition availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++Node.jsC and C++
Server operating systemshostedLinuxLinux
OS X
Android
iOS
Linux
macOS
Windows
Data schemeyesyesdynamic schemayes
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesyes
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.nononono
Secondary indexesrestrictedyesyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like DML and DDL statementsSQL-like data manipulation statementsno
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Proprietary native API
Supported programming languagesAll languages supporting JDBC/ODBCAll languages supporting JDBC/ODBC.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyes infouser defined functions and integration of map-reduceCustom Functions infosince release 3.1no
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingA table resides as a whole on one (or more) nodes in a clusternone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryes infothe nodes on which a table resides can be definedonline/offline synchronization between client and server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users and rolesyes
More information provided by the system vendor
Amazon RedshiftApache ImpalaHarperDBObjectBox
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More resources
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