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DBMS > Amazon DocumentDB vs. EsgynDB vs. RisingWave vs. SQream DB

System Properties Comparison Amazon DocumentDB vs. EsgynDB vs. RisingWave vs. SQream DB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonRisingWave  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA distributed RDBMS for stream processing, wire-compatible with PostgreSQLa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelDocument storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.64
Rank#238  Overall
#110  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.esgyn.cnwww.risingwave.com/­databasesqream.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.risingwave.com/­docs/­current/­introdocs.sqream.com
DeveloperEsgynRisingWave LabsSQream Technologies
Initial release2019201520222017
Current release1.2, September 20232022.1.6, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercial
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 languageC++, JavaRustC++, CUDA, Haskell, Java, Scala
Server operating systemshostedLinuxDocker
Linux
macOS
Linux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesStandard SQL-types and JSONyes, ANSI Standard SQL Types
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.nonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoyesyesyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
JDBC
ODBC
JDBC
PostgreSQL wire protocol
.Net
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages supporting JDBC/ODBC/ADO.NetGo
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoJava Stored ProceduresUDFs in Python or Javauser defined functions in Python
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication between multi datacentersnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardUsers and Roles

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More resources
Amazon DocumentDBEsgynDBRisingWaveSQream DB
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