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DBMS > Amazon SimpleDB vs. Hazelcast vs. TerarkDB vs. Transwarp Hippo

System Properties Comparison Amazon SimpleDB vs. Hazelcast vs. TerarkDB vs. Transwarp Hippo

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonHazelcast  Xexclude from comparisonTerarkDB  Xexclude from comparisonTranswarp Hippo  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 ScioreA widely adopted in-memory data gridA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelKey-value storeKey-value storeKey-value storeVector DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#128  Overall
#22  Key-value stores
Score5.72
Rank#59  Overall
#6  Key-value stores
Score0.00
Rank#385  Overall
#61  Key-value stores
Score0.00
Rank#385  Overall
#16  Vector DBMS
Websiteaws.amazon.com/­simpledbhazelcast.comgithub.com/­bytedance/­terarkdbwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationdocs.aws.amazon.com/­simpledbhazelcast.org/­imdg/­docsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperAmazonHazelcastByteDance, originally Terark
Initial release2007200820162023
Current release5.3.6, November 20231.0, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercial inforestricted open source version availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemshostedAll OS with a Java VMLinux
macOS
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenoyesnoVector, Numeric and String
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 infothe object must implement a serialization strategynono
Secondary indexesyes infoAll columns are indexed automaticallyyesnono
SQL infoSupport of SQLnoSQL-like query languagenono
APIs and other access methodsRESTful HTTP APIJCache
JPA
Memcached protocol
RESTful HTTP API
C++ API
Java API
RESTful HTTP API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Java
C++
Java
Python
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Servicesnono
Triggersnoyes infoEventsnono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoReplicated Mapnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
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 Consistency
Foreign keys infoReferential integritynononono
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 commitednono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Role-based access controlnoRole based access control and fine grained access rights

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More resources
Amazon SimpleDBHazelcastTerarkDBTranswarp Hippo
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