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DBMS > Alibaba Cloud Table Store vs. Amazon Aurora vs. CockroachDB vs. Dragonfly

System Properties Comparison Alibaba Cloud Table Store vs. Amazon Aurora vs. CockroachDB vs. Dragonfly

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Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonAmazon Aurora  Xexclude from comparisonCockroachDB  Xexclude from comparisonDragonfly  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessMySQL 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.A drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instance
Primary database modelWide column storeRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score0.49
Rank#261  Overall
#38  Key-value stores
Websitewww.alibabacloud.com/­product/­table-storeaws.amazon.com/­rds/­aurorawww.cockroachlabs.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlwww.cockroachlabs.com/­docswww.dragonflydb.io/­docs
DeveloperAlibabaAmazonCockroach LabsDragonflyDB team and community contributors
Initial release2016201520152023
Current release24.1.0, May 20241.0, March 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0, commercial license availableOpen Source infoBSL 1.1
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++
Server operating systemshostedhostedLinux
macOS
Windows
Linux
Data schemeschema-freeyesdynamic schemascheme-free
Typing infopredefined data types such as float or dateyesyesyesstrings, hashes, lists, sets, sorted sets, bit arrays
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.noyesnono
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoyesyes, wire compatible with PostgreSQLno
APIs and other access methodsHTTP APIADO.NET
JDBC
ODBC
JDBCProprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languagesJava
Python
Ada
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
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
Server-side scripts infoStored proceduresnoyesnoLua
Triggersnoyesnopublish/subscribe channels provide some trigger functionality
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal 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 RAFT
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSource-replica replicationMulti-source replication using RAFTSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACIDAtomic execution of command blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, strict serializability by the server
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.noyesnoyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensfine grained access rights according to SQL-standardRole-based access controlPassword-based authentication

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More resources
Alibaba Cloud Table StoreAmazon AuroraCockroachDBDragonfly
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