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DBMS > Amazon DynamoDB vs. EsgynDB vs. HBase vs. PouchDB vs. QuestDB

System Properties Comparison Amazon DynamoDB vs. EsgynDB vs. HBase vs. PouchDB vs. QuestDB

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonHBase  Xexclude from comparisonPouchDB  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionWide-column store based on Apache Hadoop and on concepts of BigTableJavaScript DBMS with an API inspired by CouchDBA high performance open source SQL database for time series data
Primary database modelDocument store
Key-value store
Relational DBMSWide column storeDocument 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
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score2.28
Rank#115  Overall
#21  Document stores
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Websiteaws.amazon.com/­dynamodbwww.esgyn.cnhbase.apache.orgpouchdb.comquestdb.io
Technical documentationdocs.aws.amazon.com/­dynamodbhbase.apache.org/­book.htmlpouchdb.com/­guidesquestdb.io/­docs
DeveloperAmazonEsgynApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software FoundationQuestDB Technology Inc
Initial release20122015200820122014
Current release2.3.4, January 20217.1.1, June 2019
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialOpen Source infoApache version 2Open SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaJavaJavaScriptJava (Zero-GC), C++, Rust
Server operating systemshostedLinuxLinux
Unix
Windows infousing Cygwin
server-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Windows
Data schemeschema-freeyesschema-free, schema definition possibleschema-freeyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROnoyes
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.nononono
Secondary indexesyesyesnoyes infovia viewsno
SQL infoSupport of SQLnoyesnonoSQL with time-series extensions
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
Java API
RESTful HTTP API
Thrift
HTTP REST infoonly for PouchDB Server
JavaScript API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Groovy
Java
PHP
Python
Scala
JavaScriptC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnoJava Stored Proceduresyes infoCoprocessors in JavaView functions in JavaScriptno
Triggersyes infoby integration with AWS Lambdanoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infowith a proxy-based framework, named couchdb-loungehorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication between multi datacentersMulti-source replication
Source-replica replication
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
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 regionACIDSingle row ACID (across millions of columns)noACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes 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 access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACno
More information provided by the system vendor
Amazon DynamoDBEsgynDBHBasePouchDBQuestDB
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 DynamoDBEsgynDBHBasePouchDBQuestDB
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