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DBMS > Amazon Aurora vs. CockroachDB vs. EsgynDB vs. Ingres vs. LevelDB

System Properties Comparison Amazon Aurora vs. CockroachDB vs. EsgynDB vs. Ingres vs. LevelDB

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonCockroachDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonIngres  Xexclude from comparisonLevelDB  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionWell established RDBMSEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string values
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSKey-value 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
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Websiteaws.amazon.com/­rds/­aurorawww.cockroachlabs.comwww.esgyn.cnwww.actian.com/­databases/­ingresgithub.com/­google/­leveldb
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlwww.cockroachlabs.com/­docsdocs.actian.com/­ingresgithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperAmazonCockroach LabsEsgynActian CorporationGoogle
Initial release2015201520151974 infooriginally developed at University Berkely in early 1970s2011
Current release23.1.1, May 202311.2, May 20221.23, February 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0, commercial license availablecommercialcommercialOpen Source infoBSD
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 languageGoC++, JavaCC++
Server operating systemshostedLinux
macOS
Windows
LinuxAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Illumos
Linux
OS X
Windows
Data schemeyesdynamic schemayesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyesyes, wire compatible with PostgreSQLyesyesno
APIs and other access methodsADO.NET
JDBC
ODBC
JDBCADO.NET
JDBC
ODBC
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
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#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
All languages supporting JDBC/ODBC/ADO.NetC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresyesnoJava Stored Proceduresyesno
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslynone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using RAFTMulti-source replication between multi datacentersIngres Replicatornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyesyesyes infowith automatic compression on writes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
Amazon AuroraCockroachDBEsgynDBIngresLevelDB
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