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DBMS > Alibaba Cloud AnalyticDB for PostgreSQL vs. Amazon DynamoDB vs. Databricks vs. EsgynDB

System Properties Comparison Alibaba Cloud AnalyticDB for PostgreSQL vs. Amazon DynamoDB vs. Databricks vs. EsgynDB

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Editorial information provided by DB-Engines
NameAlibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDB  Xexclude from comparisonAmazon DynamoDB  Xexclude from comparisonDatabricks  Xexclude from comparisonEsgynDB  Xexclude from comparison
DescriptionAn online MPP (Massively Parallel Processing) data warehousing service based on GreenplumHosted, scalable database service by Amazon with the data stored in Amazons cloudThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion
Primary database modelRelational DBMSDocument store
Key-value store
Document store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.76
Rank#220  Overall
#102  Relational DBMS
Score74.45
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Websitewww.alibabacloud.com/­product/­hybriddb-postgresqlaws.amazon.com/­dynamodbwww.databricks.comwww.esgyn.cn
Technical documentationwww.alibabacloud.com/­help/­en/­analyticdb-for-postgresql/­latest/­product-introduction-overviewdocs.aws.amazon.com/­dynamodbdocs.databricks.com
DeveloperAlibaba / Pivotal Software Inc. / PostgreSQL Global Development GroupAmazonDatabricksEsgyn
Initial release2016201220132015
License infoCommercial or Open Sourcecommercialcommercial infofree tier for a limited amount of database operationscommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java
Server operating systemshostedhostedhostedLinux
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyesyes
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.yesyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesnowith Databricks SQLyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC
Java
Perl
Python
R
.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyesnouser defined functions and aggregatesJava Stored Procedures
Triggersyesyes infoby integration with AWS Lambdano
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesyesMulti-source replication between multi datacenters
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoACID across one or more tables within a single AWS account and regionACIDACID
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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standard
More information provided by the system vendor
Alibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDBAmazon DynamoDBDatabricksEsgynDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Alibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDBAmazon DynamoDBDatabricksEsgynDB
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