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DBMS > Dgraph vs. EsgynDB vs. InterSystems IRIS vs. RavenDB vs. Spark SQL

System Properties Comparison Dgraph vs. EsgynDB vs. InterSystems IRIS vs. RavenDB vs. Spark SQL

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonRavenDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSEnterprise-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 scalabilityOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelGraph DBMSRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Document storeRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#158  Overall
#15  Graph DBMS
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score4.39
Rank#81  Overall
#13  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#44  Relational DBMS
Score3.01
Rank#101  Overall
#17  Document stores
Score19.15
Rank#33  Overall
#20  Relational DBMS
Websitedgraph.iowww.esgyn.cnwww.intersystems.com/­products/­intersystems-irisravendb.netspark.apache.org/­sql
Technical documentationdgraph.io/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsravendb.net/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDgraph Labs, Inc.EsgynInterSystemsHibernating RhinosApache Software Foundation
Initial release20162015201820102014
Current release2023.3, June 20235.4, July 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoAGPL version 3, commercial license availableOpen Source infoApache 2.0
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 languageGoC++, JavaC#Scala
Server operating systemsLinux
OS X
Windows
LinuxAIX
Linux
macOS
Ubuntu
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Windows
Data schemeschema-freeyesdepending on used data modelschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 indexesyesyesyesyesno
SQL infoSupport of SQLnoyesyesSQL-like query language (RQL)SQL-like DML and DDL statements
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net.Net
C++
Java
JavaScript (Node.js)
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoJava Stored Proceduresyesyesno
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication between multi datacentersSource-replica replicationMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID, Cluster-wide transaction availableno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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 controlno infoPlanned for future releasesfine grained access rights according to SQL-standardyesAuthorization levels configured per client per databaseno
More information provided by the system vendor
DgraphEsgynDBInterSystems IRISRavenDBSpark SQL
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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DgraphEsgynDBInterSystems IRISRavenDBSpark SQL
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