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DBMS > Amazon Aurora vs. Atos Standard Common Repository vs. LevelDB vs. UniData,UniVerse vs. XTDB

System Properties Comparison Amazon Aurora vs. Atos Standard Common Repository vs. LevelDB vs. UniData,UniVerse vs. XTDB

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonLevelDB  Xexclude from comparisonUniData,UniVerse  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesMultiValue database and application server with SQL mapping layer and meta database capabilitiesA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSDocument store
Key-value store
Key-value storeMultivalue DBMSDocument store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websiteaws.amazon.com/­rds/­auroraatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­google/­leveldbwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidatagithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidatawww.xtdb.com/­docs
DeveloperAmazonAtos Convergence CreatorsGoogleRocket SoftwareJuxt Ltd.
Initial release20152016201119852019
Current release17031.23, February 20211.19, September 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSDcommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++CClojure
Server operating systemshostedLinuxIllumos
Linux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesSchema and schema-less with LDAP viewsschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesoptionalnooptionalyes, extensible-data-notation format
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.yesyesnono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesnonoyeslimited SQL, making use of Apache Calcite
APIs and other access methodsADO.NET
JDBC
ODBC
LDAPJava API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
HTTP REST
JDBC
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 with LDAP bindingsC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
Basic infoU2 Basic
C
Java
Clojure
Java
Server-side scripts infoStored proceduresyesnonoyesno
Triggersyesyesnoyes infoU2 Basicno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infocell divisionnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnoneSource-replica replicationyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnoACID infoconfigurableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardLDAP bind authenticationnoAccess rights according to SQL-standard and operating system based

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More resources
Amazon AuroraAtos Standard Common RepositoryLevelDBUniData,UniVerseXTDB infoformerly named Crux
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