DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > EsgynDB vs. Realm vs. Spark SQL vs. Stardog vs. Trafodion

System Properties Comparison EsgynDB vs. Realm vs. Spark SQL vs. Stardog vs. Trafodion

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonRealm  Xexclude from comparisonSpark SQL  Xexclude from comparisonStardog  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataSpark SQL is a component on top of 'Spark Core' for structured data processingEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSDocument storeRelational DBMSGraph DBMS
RDF store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.esgyn.cnrealm.iospark.apache.org/­sqlwww.stardog.comtrafodion.apache.org
Technical documentationrealm.io/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.stardog.comtrafodion.apache.org/­documentation.html
DeveloperEsgynRealm, acquired by MongoDB in May 2019Apache Software FoundationStardog-UnionApache Software Foundation, originally developed by HP
Initial release20152014201420102014
Current release3.5.0 ( 2.13), September 20237.3.0, May 20202.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen 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 languageC++, JavaScalaJavaC++, Java
Server operating systemsLinuxAndroid
Backend: server-less
iOS
Windows
Linux
OS X
Windows
Linux
macOS
Windows
Linux
Data schemeyesyesyesschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononono infoImport/export of XML data possibleno
Secondary indexesyesyesnoyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsYes, compatible with all major SQL variants through dedicated BI/SQL Serveryes
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
Java infowith Android only
Objective-C
React Native
Swift
Java
Python
R
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresJava Stored Proceduresno inforuns within the applications so server-side scripts are unnecessarynouser defined functions and aggregates, HTTP Server extensions in JavaJava Stored Procedures
Triggersnoyes infoChange Listenersnoyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes, utilizing Spark CorenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersnonenoneMulti-source replication in HA-Clusteryes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyes infoIn-Memory realmnoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyesnoAccess rights for users and rolesfine grained access rights according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
EsgynDBRealmSpark SQLStardogTrafodion
DB-Engines blog posts

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

show all

Recent citations in the news

MongoDB aims to unify developer experience with launch of MongoDB Cloud
9 June 2020, diginomica

Danish CEO explains Silicon Valley learning curve for European entrepreneurs - San Francisco Business Times
6 October 2016, The Business Journals

Is Swift the Future of Server-side Development?
12 September 2017, Solutions Review

Java Synthetic Methods — What are these? | by Vaibhav Singh
27 February 2021, DataDrivenInvestor

Kotlin Programming Language Will Surpass Java On Android Next Year
15 October 2017, Fossbytes

provided by Google News

Use Amazon Athena with Spark SQL for your open-source transactional table formats | Amazon Web Services
24 January 2024, AWS Blog

What is Apache Spark? The big data platform that crushed Hadoop
3 April 2024, InfoWorld

Cracking the Apache Spark Interview: 80+ Top Questions and Answers for 2024
1 April 2024, Simplilearn

Performant IPv4 Range Spark Joins | by Jean-Claude Cote
24 January 2024, Towards Data Science

18 Top Big Data Tools and Technologies to Know About in 2024
24 January 2024, TechTarget

provided by Google News

Evaluating HTAP Databases for Machine Learning Applications
2 November 2016, KDnuggets

Low-latency, distributed database architectures are critical for emerging fog applications
7 April 2022, Embedded Computing Design

provided by Google News



Share this page

Featured Products

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

SingleStore logo

Database for your real-time AI and Analytics Apps.
Try it today.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Present your product here