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DBMS > Amazon DynamoDB vs. Faircom EDGE vs. Hypertable vs. QuestDB

System Properties Comparison Amazon DynamoDB vs. Faircom EDGE vs. Hypertable vs. QuestDB

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonHypertable  Xexclude from comparisonQuestDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsAn open source BigTable implementation based on distributed file systems such as HadoopA high performance open source SQL database for time series data
Primary database modelDocument store
Key-value store
Key-value store
Relational DBMS
Wide column storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Websiteaws.amazon.com/­dynamodbwww.faircom.com/­products/­faircom-edgequestdb.io
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlquestdb.io/­docs
DeveloperAmazonFairCom CorporationHypertable Inc.QuestDB Technology Inc
Initial release2012197920092014
Current releaseV3, October 20200.9.8.11, March 2016
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercial infoRestricted, free version availableOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++C++Java (Zero-GC), C++, Rust
Server operating systemshostedAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesnoyes
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.yesno
Secondary indexesyesyesrestricted infoonly exact value or prefix value scansno
SQL infoSupport of SQLnoyes infoANSI SQL queriesnoSQL with time-series extensions
APIs and other access methodsRESTful HTTP APIADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
C++ API
Thrift
HTTP 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#
C++
Java
JavaScript
PHP
Python
VB.Net
C++
Java
Perl
PHP
Python
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++nono
Triggersyes infoby integration with AWS Lambdayesnono
Partitioning methods infoMethods for storing different data on different nodesShardingFile partitioning infoCustomizable business rules for partitioningShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoSynchronous and asynchronous realtime replication based on transaction logsselectable replication factor on file system levelSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infowhen using SQLnono
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 regionACIDnoACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyes
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.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)Fine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.no
More information provided by the system vendor
Amazon DynamoDBFaircom EDGE infoformerly c-treeEDGEHypertableQuestDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon DynamoDBFaircom EDGE infoformerly c-treeEDGEHypertableQuestDB
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