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DBMS > EJDB vs. EsgynDB vs. InterSystems IRIS vs. Sqrrl vs. YDB

System Properties Comparison EJDB vs. EsgynDB vs. InterSystems IRIS vs. Sqrrl vs. YDB

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonSqrrl  Xexclude from comparisonYDB  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityAdaptable, secure NoSQL built on Apache AccumuloA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelDocument storeRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Document store
Graph DBMS
Key-value store
Wide column store
Document store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#297  Overall
#44  Document stores
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbwww.esgyn.cnwww.intersystems.com/­products/­intersystems-irissqrrl.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsydb.tech/­en/­docs
DeveloperSoftmotionsEsgynInterSystemsAmazon infooriginally Sqrrl Data, Inc.Yandex
Initial release20122015201820122019
Current release2023.3, June 2023
License infoCommercial or Open SourceOpen Source infoGPLv2commercialcommercialcommercialOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++, JavaJava
Server operating systemsserver-lessLinuxAIX
Linux
macOS
Ubuntu
Windows
LinuxLinux
Data schemeschema-freeyesdepending on used data modelschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyesyesyes
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.noyesno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyesyesnoSQL-like query language (YQL)
APIs and other access methodsin-process shared libraryADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net.Net
C++
Java
JavaScript (Node.js)
Python
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnoJava Stored Proceduresyesnono
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infomaking use of HadoopSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication between multi datacentersSource-replica replicationselectable replication factor infomaking use of HadoopActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDAtomic updates per row, document, or graph entityACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyesyes
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.noyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardyesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Access rights defined for Yandex Cloud users
More information provided by the system vendor
EJDBEsgynDBInterSystems IRISSqrrlYDB
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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EJDBEsgynDBInterSystems IRISSqrrlYDB
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