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DBMS > Amazon SimpleDB vs. Badger vs. BigchainDB vs. Fujitsu Enterprise Postgres vs. Hazelcast

System Properties Comparison Amazon SimpleDB vs. Badger vs. BigchainDB vs. Fujitsu Enterprise Postgres vs. Hazelcast

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonBadger  Xexclude from comparisonBigchainDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonHazelcast  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 ScioreAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.BigchainDB is scalable blockchain database offering decentralization, immutability and native assetsEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.A widely adopted in-memory data grid
Primary database modelKey-value storeKey-value storeDocument storeRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
Document store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.85
Rank#208  Overall
#35  Document stores
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Websiteaws.amazon.com/­simpledbgithub.com/­dgraph-io/­badgerwww.bigchaindb.comwww.postgresql.fastware.comhazelcast.com
Technical documentationdocs.aws.amazon.com/­simpledbgodoc.org/­github.com/­dgraph-io/­badgerbigchaindb.readthedocs.io/­en/­latestwww.postgresql.fastware.com/­product-manualshazelcast.org/­imdg/­docs
DeveloperAmazonDGraph LabsPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyHazelcast
Initial release2007201720162008
Current releaseFujitsu Enterprise Postgres 14, January 20225.3.6, November 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoAGPL v3commercialOpen Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoPythonCJava
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
LinuxLinux
Windows
All OS with a Java VM
Data schemeschema-freeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenononoyesyes
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.nonoyes infothe object must implement a serialization strategy
Secondary indexesyes infoAll columns are indexed automaticallynoyesyes
SQL infoSupport of SQLnononoyesSQL-like query language
APIs and other access methodsRESTful HTTP APICLI Client
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
GoGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnonouser defined functionsyes infoEvent Listeners, Executor Services
Triggersnonoyesyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationnoneShardingpartitioning by range, list and by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneselectable replication factorSource-replica replicationyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
noneImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnoACIDone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noyesfine grained access rights according to SQL-standardRole-based access control

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More resources
Amazon SimpleDBBadgerBigchainDBFujitsu Enterprise PostgresHazelcast
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