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DBMS > EsgynDB vs. Microsoft Azure Table Storage vs. RisingWave vs. Trafodion

System Properties Comparison EsgynDB vs. Microsoft Azure Table Storage vs. RisingWave vs. Trafodion

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRisingWave  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA Wide Column Store for rapid development using massive semi-structured datasetsA distributed RDBMS for stream processing, wire-compatible with PostgreSQLTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSWide column storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.58
Rank#242  Overall
#111  Relational DBMS
Websitewww.esgyn.cnazure.microsoft.com/­en-us/­services/­storage/­tableswww.risingwave.com/­databasetrafodion.apache.org
Technical documentationdocs.risingwave.com/­docs/­current/­introtrafodion.apache.org/­documentation.html
DeveloperEsgynMicrosoftRisingWave LabsApache Software Foundation, originally developed by HP
Initial release2015201220222014
Current release1.2, September 20232.3.0, February 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaRustC++, Java
Server operating systemsLinuxhostedDocker
Linux
macOS
Linux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesStandard SQL-types and JSONyes
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 indexesyesnoyesyes
SQL infoSupport of SQLyesnoyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP APIJDBC
PostgreSQL wire protocol
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresJava Stored ProceduresnoUDFs in Python or JavaJava Stored Procedures
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingnoACID
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.nonoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signaturesUsers and Rolesfine grained access rights according to SQL-standard

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More resources
EsgynDBMicrosoft Azure Table StorageRisingWaveTrafodion
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