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DBMS > Amazon SimpleDB vs. BigchainDB vs. Databricks vs. Quasardb

System Properties Comparison Amazon SimpleDB vs. BigchainDB vs. Databricks vs. Quasardb

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonDatabricks  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 assetsThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Distributed, high-performance timeseries database
Primary database modelKey-value storeDocument storeDocument store
Relational DBMS
Time Series DBMS
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
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websiteaws.amazon.com/­simpledbwww.bigchaindb.comwww.databricks.comquasar.ai
Technical documentationdocs.aws.amazon.com/­simpledbbigchaindb.readthedocs.io/­en/­latestdocs.databricks.comdoc.quasar.ai/­master
DeveloperAmazonDatabricksquasardb
Initial release2007201620132009
Current release3.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC++
Server operating systemshostedLinuxhostedBSD
Linux
OS X
Windows
Data schemeschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or datenonoyes 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.noyesno
Secondary indexesyes infoAll columns are indexed automaticallyyesyes infowith tags
SQL infoSupport of SQLnonowith Databricks SQLSQL-like query language
APIs and other access methodsRESTful HTTP APICLI Client
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
HTTP API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
Python
R
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnouser defined functions and aggregatesno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryesSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient mode
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesCryptographically strong user authentication and audit trail
More information provided by the system vendor
Amazon SimpleDBBigchainDBDatabricksQuasardb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Amazon SimpleDBBigchainDBDatabricksQuasardb
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