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DBMS > Amazon SimpleDB vs. Brytlyt vs. DolphinDB vs. Microsoft Azure Synapse Analytics vs. Solr

System Properties Comparison Amazon SimpleDB vs. Brytlyt vs. DolphinDB vs. Microsoft Azure Synapse Analytics vs. Solr

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonBrytlyt  Xexclude from comparisonDolphinDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSolr  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 ScioreScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelKey-value storeRelational DBMSTime Series DBMSRelational DBMSSearch engine
Secondary database modelsRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websiteaws.amazon.com/­simpledbbrytlyt.iowww.dolphindb.comazure.microsoft.com/­services/­synapse-analyticssolr.apache.org
Technical documentationdocs.aws.amazon.com/­simpledbdocs.brytlyt.iodocs.dolphindb.cn/­en/­help200/­index.htmldocs.microsoft.com/­azure/­synapse-analyticssolr.apache.org/­resources.html
DeveloperAmazonBrytlytDolphinDB, IncMicrosoftApache Software Foundation
Initial release20072016201820162006
Current release5.0, August 2023v2.00.4, January 20229.6.0, April 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree community version availablecommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAC++C++Java
Server operating systemshostedLinux
OS X
Windows
Linux
Windows
hostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or datenoyesyesyesyes infosupports customizable data types and automatic typing
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.yes infospecific XML-type available, but no XML query functionality.nonoyes
Secondary indexesyes infoAll columns are indexed automaticallyyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyesSQL-like query languageyesSolr Parallel SQL Interface
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
ADO.NET
JDBC
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
Java
PHP
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLyesTransact SQLJava plugins
Triggersnoyesnonoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationhorizontal partitioningSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono 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 applicationACIDyesACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardAdministrators, Users, Groupsyesyes

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More resources
Amazon SimpleDBBrytlytDolphinDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSolr
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