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DBMS > EsgynDB vs. Fauna vs. GridGain vs. HyperSQL vs. TerminusDB

System Properties Comparison EsgynDB vs. Fauna vs. GridGain vs. HyperSQL vs. TerminusDB

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonGridGain  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.GridGain is an in-memory computing platform, built on Apache IgniteMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMSDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Key-value store
Relational DBMS
Relational DBMSGraph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score1.52
Rank#153  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitewww.esgyn.cnfauna.comwww.gridgain.comhsqldb.orgterminusdb.com
Technical documentationdocs.fauna.comwww.gridgain.com/­docs/­index.htmlhsqldb.org/­web/­hsqlDocsFrame.htmlterminusdb.github.io/­terminusdb/­#
DeveloperEsgynFauna, Inc.GridGain Systems, Inc.DataChemist Ltd.
Initial release20152014200720012018
Current releaseGridGain 8.5.12.7.2, June 202311.0.0, January 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infobased on BSD licenseOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaScalaJava, C++, .NetJavaProlog, Rust
Server operating systemsLinuxhostedLinux
OS X
Solaris
Windows
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonoyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesnoANSI-99 for query and DML statements, subset of DDLyesSQL-like query language (WOQL)
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API infoJDBC via HTTP
JDBC
ODBC
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C#
C++
Java
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC
Java
JavaScript
Python
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined functionsyes (compute grid and cache interceptors can be used instead)Java, SQLyes
Triggersnonoyes (cache interceptors and events)yesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoconsistent hashingShardingnoneGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersMulti-source replicationyes (replicated cache)noneJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardIdentity management, authentication, and access controlSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardRole-based access control

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More resources
EsgynDBFauna infopreviously named FaunaDBGridGainHyperSQL infoalso known as HSQLDBTerminusDB infoformer name was DataChemist
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