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DBMS > EsgynDB vs. HyperSQL vs. Teradata vs. YottaDB

System Properties Comparison EsgynDB vs. HyperSQL vs. Teradata vs. YottaDB

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonTeradata  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBA hybrid cloud data analytics software platform (Teradata Vantage)A fast and solid embedded Key-value store
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score3.23
Rank#93  Overall
#48  Relational DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitewww.esgyn.cnhsqldb.orgwww.teradata.comyottadb.com
Technical documentationhsqldb.org/­web/­hsqlDocsFrame.htmldocs.teradata.comyottadb.com/­resources/­documentation
DeveloperEsgynTeradataYottaDB, LLC
Initial release2015200119842001
Current release2.7.2, June 2023Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Source infobased on BSD licensecommercialOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaJavaC
Server operating systemsLinuxAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modeshosted
Linux
Docker
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonoyesno
Secondary indexesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexno
SQL infoSupport of SQLyesyesyes infoSQL 2016 + extensionsby using the Octo plugin
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP API infoJDBC via HTTP
JDBC
ODBC
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetAll languages supporting JDBC/ODBC
Java
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresJava Stored ProceduresJava, SQLyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersnoneMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDoptimistic locking
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.noyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUsers and groups based on OS-security mechanisms

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More resources
EsgynDBHyperSQL infoalso known as HSQLDBTeradataYottaDB
DB-Engines blog posts

Teradata is the most popular data warehouse DBMS
2 April 2013, Paul Andlinger

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