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DBMS > Amazon Aurora vs. AnzoGraph DB vs. Apache Impala vs. KeyDB

System Properties Comparison Amazon Aurora vs. AnzoGraph DB vs. Apache Impala vs. KeyDB

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonApache Impala  Xexclude from comparisonKeyDB  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationAnalytic DBMS for HadoopAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocols
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSKey-value store
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Websiteaws.amazon.com/­rds/­auroracambridgesemantics.com/­anzographimpala.apache.orggithub.com/­Snapchat/­KeyDB
keydb.dev
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmimpala.apache.org/­impala-docs.htmldocs.keydb.dev
DeveloperAmazonCambridge SemanticsApache Software Foundation infoApache top-level project, originally developed by ClouderaEQ Alpha Technology Ltd.
Initial release2015201820132019
Current release2.3, January 20214.1.0, June 2022
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availableOpen Source infoApache Version 2Open Source infoBSD-3
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemshostedLinuxLinuxLinux
Data schemeyesSchema-free and OWL/RDFS-schema supportyesschema-free
Typing infopredefined data types such as float or dateyesyespartial 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.yesnonono
Secondary indexesyesnoyesyes infoby using the Redis Search module
SQL infoSupport of SQLyesSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like DML and DDL statementsno
APIs and other access methodsADO.NET
JDBC
ODBC
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
Proprietary protocol infoRESP - REdis Serialization Protoco
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++
Java
Python
All 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
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesyes infouser defined functions and integration of map-reduceLua
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningAutomatic shardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication in MPP-Clusterselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusterEventual ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integrityyesno infonot needed in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesAccess rights for users, groups and roles infobased on Apache Sentry and Kerberossimple password-based access control and ACL

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More resources
Amazon AuroraAnzoGraph DBApache ImpalaKeyDB
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