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DBMS > Amazon Aurora vs. Bangdb vs. Databend vs. Microsoft Azure Table Storage

System Properties Comparison Amazon Aurora vs. Bangdb vs. Databend vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonBangdb  Xexclude from comparisonDatabend  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonConverged and high performance database for device data, events, time series, document and graphAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Relational DBMSWide column store
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Websiteaws.amazon.com/­rds/­aurorabangdb.comgithub.com/­datafuselabs/­databend
www.databend.com
azure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.bangdb.comdocs.databend.com
DeveloperAmazonSachin Sinha, BangDBDatabend LabsMicrosoft
Initial release2015201220212012
Current releaseBangDB 2.0, October 20211.0.59, April 2023
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++Rust
Server operating systemshostedLinuxhosted
Linux
macOS
hosted
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesyes
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 indexesyesyes infosecondary, composite, nested, reverse, geospatialnono
SQL infoSupport of SQLyesSQL like support with command line toolyesno
APIs and other access methodsADO.NET
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
CLI Client
JDBC
RESTful HTTP API
RESTful HTTP 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
C
C#
C++
Java
Python
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnonono
Triggersyesyes, Notifications (with Streaming only)nono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor, Knob for CAP (enterprise version only)noneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, run db with in-memory only modeno
User concepts infoAccess controlfine grained access rights according to SQL-standardyes (enterprise version only)Users with fine-grained authorization concept, user rolesAccess rights based on private key authentication or shared access signatures

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More resources
Amazon AuroraBangdbDatabendMicrosoft Azure Table Storage
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