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DBMS > Amazon SimpleDB vs. Blueflood vs. DolphinDB vs. Microsoft Azure Synapse Analytics vs. Warp 10

System Properties Comparison Amazon SimpleDB vs. Blueflood vs. DolphinDB vs. Microsoft Azure Synapse Analytics vs. Warp 10

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonBlueflood  Xexclude from comparisonDolphinDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonWarp 10  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 TimeSeries DBMS based on CassandraDolphinDB 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 ServerTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelKey-value storeTime Series DBMSTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websiteaws.amazon.com/­simpledbblueflood.iowww.dolphindb.comazure.microsoft.com/­services/­synapse-analyticswww.warp10.io
Technical documentationdocs.aws.amazon.com/­simpledbgithub.com/­rax-maas/­blueflood/­wikidocs.dolphindb.cn/­en/­help200/­index.htmldocs.microsoft.com/­azure/­synapse-analyticswww.warp10.io/­content/­02_Getting_started
DeveloperAmazonRackspaceDolphinDB, IncMicrosoftSenX
Initial release20072013201820162015
Current releasev2.00.4, January 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infofree community version availablecommercialOpen Source infoApache License 2.0
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 languageJavaC++C++Java
Server operating systemshostedLinux
OS X
Linux
Windows
hostedLinux
OS X
Windows
Data schemeschema-freepredefined schemeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesyes
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 automaticallynoyesyesno
SQL infoSupport of SQLnonoSQL-like query languageyesno
APIs and other access methodsRESTful HTTP APIHTTP RESTJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
ADO.NET
JDBC
ODBC
HTTP API
Jupyter
WebSocket
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
Java
PHP
Server-side scripts infoStored proceduresnonoyesTransact SQLyes infoWarpScript
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding infobased on Cassandrahorizontal partitioningSharding, horizontal partitioningSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on Cassandrayesyesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynononono 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 applicationnoyesACIDno
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.noyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noAdministrators, Users, GroupsyesMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Amazon SimpleDBBluefloodDolphinDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseWarp 10
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