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DBMS > EsgynDB vs. ITTIA vs. QuestDB vs. Trafodion vs. Yanza

System Properties Comparison EsgynDB vs. ITTIA vs. QuestDB vs. Trafodion vs. Yanza

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonITTIA  Xexclude from comparisonQuestDB  Xexclude from comparisonTrafodion  Xexclude from comparisonYanza  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionEdge Time Series DBMS with Real-Time Stream ProcessingA high performance open source SQL database for time series dataTransactional SQL-on-Hadoop DBMSTime Series DBMS for IoT Applications
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.44
Rank#267  Overall
#23  Time Series DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Websitewww.esgyn.cnwww.ittia.comquestdb.iotrafodion.apache.orgyanza.com
Technical documentationquestdb.io/­docstrafodion.apache.org/­documentation.html
DeveloperEsgynITTIA L.L.C.QuestDB Technology IncApache Software Foundation, originally developed by HPYanza
Initial release20152007201420142015
Current release8.72.3.0, February 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaC and C++Java (Zero-GC), C++, RustC++, Java
Server operating systemsLinuxLinux
Windows
Linux
macOS
Windows
LinuxWindows
Data schemeyesFixed schemayes infoschema-free via InfluxDB Line Protocolyesschema-free
Typing infopredefined data types such as float or dateyesFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalyesyesno
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.nonononono
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLyesyesSQL with time-series extensionsyesno
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
WebSocket
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
ADO.NET
JDBC
ODBC
HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC
C++
JavaScript (Node.js)
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
All languages supporting JDBC/ODBC/ADO.Netany language that supports HTTP calls
Server-side scripts infoStored proceduresJava Stored ProceduresyesnoJava Stored Proceduresno
Triggersnonononoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by timestamps)Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyesSource-replica replication with eventual consistencyyes, via HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes infovia user defined functions and HBaseno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID for single-table writesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infothrough memory mapped filesno
User concepts infoAccess controlfine grained access rights according to SQL-standardDatabase file passwordsfine grained access rights according to SQL-standardno
More information provided by the system vendor
EsgynDBITTIAQuestDBTrafodionYanza
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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EsgynDBITTIAQuestDBTrafodionYanza
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