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DBMS > Amazon Aurora vs. Apache Impala vs. GigaSpaces vs. RocksDB

System Properties Comparison Amazon Aurora vs. Apache Impala vs. GigaSpaces vs. RocksDB

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Impala  Xexclude from comparisonGigaSpaces  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAnalytic DBMS for HadoopHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Key-value store
Secondary database modelsDocument storeDocument storeGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score3.65
Rank#85  Overall
#11  Key-value stores
Websiteaws.amazon.com/­rds/­auroraimpala.apache.orgwww.gigaspaces.comrocksdb.org
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlimpala.apache.org/­impala-docs.htmldocs.gigaspaces.com/­latest/­landing.htmlgithub.com/­facebook/­rocksdb/­wiki
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaGigaspaces TechnologiesFacebook, Inc.
Initial release2015201320002013
Current release4.1.0, June 202215.5, September 20208.11.4, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache Version 2; Commercial licenses availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, C++, .NetC++
Server operating systemshostedLinuxLinux
macOS
Solaris
Windows
Linux
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.yesnono infoXML can be used for describing objects metadatano
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesSQL-like DML and DDL statementsSQL-99 for query and DML statementsno
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
C++ API
Java API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All languages supporting JDBC/ODBC.Net
C++
Java
Python
Scala
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceyesno
Triggersyesnoyes, event driven architecture
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and KerberosRole-based access controlno

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More resources
Amazon AuroraApache ImpalaGigaSpacesRocksDB
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