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DBMS > Amazon SimpleDB vs. CockroachDB vs. Dgraph vs. HarperDB vs. Trino

System Properties Comparison Amazon SimpleDB vs. CockroachDB vs. Dgraph vs. HarperDB vs. Trino

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonCockroachDB  Xexclude from comparisonDgraph  Xexclude from comparisonHarperDB  Xexclude from comparisonTrino  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.Distributed and scalable native Graph DBMSHarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelKey-value storeRelational DBMSGraph DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#128  Overall
#22  Key-value stores
Score4.74
Rank#67  Overall
#36  Relational DBMS
Score1.39
Rank#155  Overall
#15  Graph DBMS
Score0.55
Rank#243  Overall
#38  Document stores
Score5.28
Rank#61  Overall
#35  Relational DBMS
Websiteaws.amazon.com/­simpledbwww.cockroachlabs.comdgraph.iowww.harperdb.iotrino.io
Technical documentationdocs.aws.amazon.com/­simpledbwww.cockroachlabs.com/­docsdgraph.io/­docsdocs.harperdb.io/­docstrino.io/­broadcast
trino.io/­docs/­current
DeveloperAmazonCockroach LabsDgraph Labs, Inc.HarperDBTrino Software Foundation
Initial release20072015201620172012 info2020 rebranded from PrestoSQL
Current release24.1.0, May 20243.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0, commercial license availableOpen Source infoApache 2.0commercial infofree community edition availableOpen Source infoApache Version 2.0
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 languageGoGoNode.jsJava
Server operating systemshostedLinux
macOS
Windows
Linux
OS X
Windows
Linux
OS X
Linux
macOS infofor devlopment
Data schemeschema-freedynamic schemaschema-freedynamic schemayes
Typing infopredefined data types such as float or datenoyesyesyes infoJSON data typesyes
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.nononono
Secondary indexesyes infoAll columns are indexed automaticallyyesyesyesdepending on connected data-source
SQL infoSupport of SQLnoyes, wire compatible with PostgreSQLnoSQL-like data manipulation statementsyes
APIs and other access methodsRESTful HTTP APIJDBCGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
RESTful HTTP API
Trino CLI
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++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnononoCustom Functions infosince release 3.1yes, depending on connected data-source
Triggersnonononono
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 RAFTyesA table resides as a whole on one (or more) nodes in a clusterdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication using RAFTSynchronous replication via Raftyes infothe nodes on which a table resides can be defineddepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate ConsistencyImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDACIDAtomic execution of specific operationsdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, using LMDBdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Role-based access controlno infoPlanned for future releasesAccess rights for users and rolesSQL standard access control
More information provided by the system vendor
Amazon SimpleDBCockroachDBDgraphHarperDBTrino
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More resources
Amazon SimpleDBCockroachDBDgraphHarperDBTrino
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