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DBMS > Amazon Aurora vs. Datastax Enterprise vs. IBM Cloudant vs. LevelDB vs. TimescaleDB

System Properties Comparison Amazon Aurora vs. Datastax Enterprise vs. IBM Cloudant vs. LevelDB vs. TimescaleDB

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonLevelDB  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Database as a Service offering based on Apache CouchDBEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSWide column storeDocument storeKey-value storeTime Series DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score5.80
Rank#60  Overall
#4  Wide column stores
Score2.68
Rank#106  Overall
#20  Document stores
Score2.35
Rank#111  Overall
#19  Key-value stores
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websiteaws.amazon.com/­rds/­aurorawww.datastax.com/­products/­datastax-enterprisewww.ibm.com/­products/­cloudantgithub.com/­google/­leveldbwww.timescale.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.datastax.comcloud.ibm.com/­docs/­Cloudantgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.timescale.com
DeveloperAmazonDataStaxIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014GoogleTimescale
Initial release20152011201020112017
Current release6.8, April 20201.23, February 20212.15.0, May 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoBSDOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaErlangC++C
Server operating systemshostedLinux
OS X
hostedIllumos
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnononumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.yesnononoyes
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyesSQL-like DML and DDL statements (CQL); Spark SQLnonoyes infofull PostgreSQL SQL syntax
APIs and other access methodsADO.NET
JDBC
ODBC
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
RESTful HTTP/JSON APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
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#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesnoView functions (Map-Reduce) in JavaScriptnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infono "single point of failure"Shardingnoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationconfigurable replication factor, datacenter aware, advanced replication for edge computingMulti-source replication
Source-replica replication
noneSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoAtomicity and isolation are supported for single operationsno infoatomic operations within a document possiblenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per objectAccess rights for users can be defined per databasenofine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon AuroraDatastax EnterpriseIBM CloudantLevelDBTimescaleDB
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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More resources
Amazon AuroraDatastax EnterpriseIBM CloudantLevelDBTimescaleDB
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