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DBMS > Amazon SimpleDB vs. Apache Impala vs. Citus vs. Redis

System Properties Comparison Amazon SimpleDB vs. Apache Impala vs. Citus vs. Redis

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache Impala  Xexclude from comparisonCitus  Xexclude from comparisonRedis  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreAnalytic DBMS for HadoopScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLPopular in-memory data platform used as a cache, message broker, and database that can be deployed on-premises, across clouds, and hybrid environments infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.
Primary database modelKey-value storeRelational DBMSRelational DBMSKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence
Secondary database modelsDocument storeDocument storeDocument store infowith RedisJSON
Graph DBMS infowith RedisGraph
Spatial DBMS
Search engine infowith RediSearch
Time Series DBMS infowith RedisTimeSeries
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score157.80
Rank#6  Overall
#1  Key-value stores
Websiteaws.amazon.com/­simpledbimpala.apache.orgwww.citusdata.comredis.com
redis.io
Technical documentationdocs.aws.amazon.com/­simpledbimpala.apache.org/­impala-docs.htmldocs.citusdata.comdocs.redis.com/­latest/­index.html
redis.io/­docs
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaRedis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.
Initial release2007201320102009
Current release4.1.0, June 20228.1, December 20187.2.4, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoAGPL, commercial license also availableOpen Source infosource-available extensions (modules), commercial licenses for Redis Enterprise
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs.
Implementation languageC++CC
Server operating systemshostedLinuxLinuxBSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyespartial 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.noyes infospecific XML type available, but no XML query functionalityno
Secondary indexesyes infoAll columns are indexed automaticallyyesyesyes infowith RediSearch module
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes infostandard, with numerous extensionswith RediSQL module
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
proprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
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
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Lua; Redis Functions coming in Redis 7 (slides and Github)
Triggersnonoyespublish/subscribe channels provide some trigger functionality; RedisGears
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingShardingSharding infoAutomatic hash-based sharding with support for hash-tags for manual sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenothrough RedisGears
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual ConsistencyImmediate ConsistencyEventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnoACIDAtomic execution of command blocks and scripts and optimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardAccess Control Lists (ACLs): redis.io/­docs/­management/­security/­acl
LDAP and Role-Based Access Control (RBAC) for Redis Enterprise
Mutual TLS authentication: redis.io/­docs/­management/­security/­encryption
Password-based authentication

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More resources
Amazon SimpleDBApache ImpalaCitusRedis
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