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DBMS > Amazon DynamoDB vs. openGemini vs. QuestDB

System Properties Comparison Amazon DynamoDB vs. openGemini vs. QuestDB

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonopenGemini  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityA high performance open source SQL database for time series data
Primary database modelDocument store
Key-value store
Time Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score70.06
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score2.81
Rank#98  Overall
#7  Time Series DBMS
Websiteaws.amazon.com/­dynamodbwww.opengemini.org
github.com/­openGemini
questdb.io
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.opengemini.org/­guidequestdb.io/­docs
DeveloperAmazonHuawei and openGemini communityQuestDB Technology Inc
Initial release201220222014
Current release1.1, July 2023
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava (Zero-GC), C++, Rust
Server operating systemshostedLinux
Windows
Linux
macOS
Windows
Data schemeschema-freeschema-freeyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesInteger, Float, Boolean, Stringyes
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.nono
Secondary indexesyesyesno
SQL infoSupport of SQLnoSQL-like query languageSQL with time-series extensions
APIs and other access methodsRESTful HTTP APIHTTP RESTHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnonono
Triggersyes infoby integration with AWS Lambdanono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replication with eventual consistency
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
Immediate Consistency
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 regionnoACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infothrough memory mapped files
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Administrators and common users accounts
More information provided by the system vendor
Amazon DynamoDBopenGeminiQuestDB
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More resources
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