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DBMS > EsgynDB vs. Galaxybase vs. GridGain vs. NSDb

System Properties Comparison EsgynDB vs. Galaxybase vs. GridGain vs. NSDb

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGalaxybase  Xexclude from comparisonGridGain  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionScalable, ACID-compliant native distributed parallel graph platformGridGain is an in-memory computing platform, built on Apache IgniteScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelRelational DBMSGraph DBMSKey-value store
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score0.04
Rank#375  Overall
#40  Graph DBMS
Score1.53
Rank#155  Overall
#26  Key-value stores
#73  Relational DBMS
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Websitewww.esgyn.cngalaxybase.comwww.gridgain.comnsdb.io
Technical documentationwww.gridgain.com/­docs/­index.htmlnsdb.io/­Architecture
DeveloperEsgynChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司GridGain Systems, Inc.
Initial release2015201720072017
Current releaseNov 20, November 2021GridGain 8.5.1
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2.0
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++, JavaC and JavaJava, C++, .NetJava, Scala
Server operating systemsLinuxLinuxLinux
OS X
Solaris
Windows
Linux
macOS
Data schemeyesStrong typed schemayes
Typing infopredefined data types such as float or dateyesyesyesyes: int, bigint, decimal, string
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 indexesyesyesyesall fields are automatically indexed
SQL infoSupport of SQLyesnoANSI-99 for query and DML statements, subset of DDLSQL-like query language
APIs and other access methodsADO.NET
JDBC
ODBC
Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
gRPC
HTTP REST
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetGo
Java
Python
C#
C++
Java
PHP
Python
Ruby
Scala
Java
Scala
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined procedures and functionsyes (compute grid and cache interceptors can be used instead)no
Triggersnoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlSecurity Hooks for custom implementations

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More resources
EsgynDBGalaxybaseGridGainNSDb
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