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DBMS > Amazon SimpleDB vs. BigchainDB vs. Hazelcast vs. Microsoft Azure Synapse Analytics vs. Quasardb

System Properties Comparison Amazon SimpleDB vs. BigchainDB vs. Hazelcast vs. Microsoft Azure Synapse Analytics vs. Quasardb

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonHazelcast  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonQuasardb  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 ScioreBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA widely adopted in-memory data gridElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerDistributed, high-performance timeseries database
Primary database modelKey-value storeDocument storeKey-value storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score0.79
Rank#212  Overall
#36  Document stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websiteaws.amazon.com/­simpledbwww.bigchaindb.comhazelcast.comazure.microsoft.com/­services/­synapse-analyticsquasar.ai
Technical documentationdocs.aws.amazon.com/­simpledbbigchaindb.readthedocs.io/­en/­latesthazelcast.org/­imdg/­docsdocs.microsoft.com/­azure/­synapse-analyticsdoc.quasar.ai/­master
DeveloperAmazonHazelcastMicrosoftquasardb
Initial release20072016200820162009
Current release5.3.6, November 20233.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3Open Source infoApache Version 2; commercial licenses availablecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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 languagePythonJavaC++C++
Server operating systemshostedLinuxAll OS with a Java VMhostedBSD
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenonoyesyesyes infointeger and binary
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.noyes infothe object must implement a serialization strategynono
Secondary indexesyes infoAll columns are indexed automaticallyyesyesyes infowith tags
SQL infoSupport of SQLnonoSQL-like query languageyesSQL-like query language
APIs and other access methodsRESTful HTTP APICLI Client
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
HTTP API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C#
Java
PHP
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor ServicesTransact SQLno
Triggersnoyes infoEventsnono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingShardingSharding, horizontal partitioningSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryes infoReplicated MapyesSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate Consistency
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 applicationone or two-phase-commit; repeatable reads; read commitedACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient mode
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesRole-based access controlyesCryptographically strong user authentication and audit trail

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More resources
Amazon SimpleDBBigchainDBHazelcastMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseQuasardb
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