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DBMS > Amazon SimpleDB vs. CockroachDB vs. HBase vs. Vitess

System Properties Comparison Amazon SimpleDB vs. CockroachDB vs. HBase vs. Vitess

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonCockroachDB  Xexclude from comparisonHBase  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreCockroachDB 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.Wide-column store based on Apache Hadoop and on concepts of BigTableScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelKey-value storeRelational DBMSWide column storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websiteaws.amazon.com/­simpledbwww.cockroachlabs.comhbase.apache.orgvitess.io
Technical documentationdocs.aws.amazon.com/­simpledbwww.cockroachlabs.com/­docshbase.apache.org/­book.htmlvitess.io/­docs
DeveloperAmazonCockroach LabsApache Software Foundation infoApache top-level project, originally developed by PowersetThe Linux Foundation, PlanetScale
Initial release2007201520082013
Current release24.1.0, May 20242.3.4, January 202115.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0, commercial license availableOpen Source infoApache version 2Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaGo
Server operating systemshostedLinux
macOS
Windows
Linux
Unix
Windows infousing Cygwin
Docker
Linux
macOS
Data schemeschema-freedynamic schemaschema-free, schema definition possibleyes
Typing infopredefined data types such as float or datenoyesoptions to bring your own types, AVROyes
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.nono
Secondary indexesyes infoAll columns are indexed automaticallyyesnoyes
SQL infoSupport of SQLnoyes, wire compatible with PostgreSQLnoyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP APIJDBCJava API
RESTful HTTP API
Thrift
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C
C#
C++
Groovy
Java
PHP
Python
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonoyes infoCoprocessors in Javayes infoproprietary syntax
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationhorizontal 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 RAFTShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication using RAFTMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDSingle row ACID (across millions of columns)ACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.noyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Role-based access controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUsers with fine-grained authorization concept infono user groups or roles

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More resources
Amazon SimpleDBCockroachDBHBaseVitess
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