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DBMS > Amazon DynamoDB vs. Machbase vs. Sphinx

System Properties Comparison Amazon DynamoDB vs. Machbase vs. Sphinx

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonMachbase infoFormer name was Infiniflux  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudTimeSeries DBMS for AIoT and BigDataOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument store
Key-value store
Time Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score88.35
Rank#15  Overall
#2  Document stores
#2  Key-value stores
Score0.14
Rank#339  Overall
#31  Time Series DBMS
Score7.12
Rank#62  Overall
#8  Search engines
Websiteaws.amazon.com/­dynamodbwww.machbase.comsphinxsearch.com
Technical documentationdocs.aws.amazon.com/­dynamodbmachbase.atlassian.net/­wiki/­spaces/­MAN/­overviewsphinxsearch.com/­docs
DeveloperAmazonMachbaseSphinx Technologies Inc.
Initial release201220132001
Current releaseV6.5, August 20213.4.1, July 2021
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercial infofree test version availableOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++
Server operating systemshostedLinux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesno
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.no
Secondary indexesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP APIHTTP REST
JDBC
ODBC
Proprietary protocol
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonono
Triggersyes infoby integration with AWS Lambdanono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesnoyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infovolatile and lookup table
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)simple password-based access controlno

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More resources
Amazon DynamoDBMachbase infoFormer name was InfinifluxSphinx
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Recent citations in the news

How to Manage Your Asynchronous API With DynamoDB Streams
14 June 2022, Built In

Database performance at any scale
6 July 2022, The Register

Atlassian Exceeds 99.9999% of Availability Using Sidecars and Highly Fault-Tolerant Design
28 September 2022, InfoQ.com

Migrate to Astra DB for a cloud-agnostic, developer-friendly DBaaS and get more capabilities at a lower TCO -- ADTmag
9 September 2022, ADT Magazine

DynamoDB’s co-creator reflects on the database’s birthday and how cloud is driving a machine learning future
15 February 2022, SiliconANGLE News

provided by Google News

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