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DBMS > Amazon SimpleDB vs. LMDB vs. Microsoft Azure Synapse Analytics vs. Trino vs. WakandaDB

System Properties Comparison Amazon SimpleDB vs. LMDB vs. Microsoft Azure Synapse Analytics vs. Trino vs. WakandaDB

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonLMDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTrino  Xexclude from comparisonWakandaDB  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 ScioreA high performant, light-weight, embedded key-value database libraryElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelKey-value storeKey-value storeRelational DBMSRelational DBMSObject oriented 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
Score1.85
Rank#138  Overall
#24  Key-value stores
Score1.99
Rank#125  Overall
#21  Key-value stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score5.00
Rank#66  Overall
#36  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websiteaws.amazon.com/­simpledbwww.symas.com/­symas-embedded-database-lmdbazure.microsoft.com/­services/­synapse-analyticstrino.iowakanda.github.io
Technical documentationdocs.aws.amazon.com/­simpledbwww.lmdb.tech/­docdocs.microsoft.com/­azure/­synapse-analyticstrino.io/­broadcast
trino.io/­docs/­current
wakanda.github.io/­doc
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperAmazonSymasMicrosoftTrino Software FoundationWakanda SAS
Initial release2007201120162012 info2020 rebranded from PrestoSQL2012
Current release0.9.32, January 20242.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen SourcecommercialOpen Source infoApache Version 2.0Open Source infoAGPLv3, extended commercial license available
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.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageCC++JavaC++, JavaScript
Server operating systemshostedLinux
Unix
Windows
hostedLinux
macOS infofor devlopment
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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 automaticallynoyesdepending on connected data-source
SQL infoSupport of SQLnonoyesyesno
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
JDBC
RESTful HTTP API
Trino CLI
RESTful HTTP API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
C#
Java
PHP
Go
Java
JavaScript (Node.js)
Python
R
Ruby
JavaScript
Server-side scripts infoStored proceduresnonoTransact SQLyes, depending on connected data-sourceyes
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationnoneSharding, horizontal partitioningdepending on connected data-sourcenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesdepending on connected data-sourcenone
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 Consistencydepending on connected data-sourceImmediate Consistency
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDACIDdepending on connected data-sourceACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesdepending on connected data-sourceyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noyesSQL standard access controlyes
More information provided by the system vendor
Amazon SimpleDBLMDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTrinoWakandaDB
Specific characteristicsTrino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesHigh performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenariosPerformant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersTrino is widely adopted across the globe as freely-available open source software....
» more
Market metrics33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsTrino is an open source project and usage is therefore free. Commercial offerings...
» more
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