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DBMS > Neo4j vs. Sadas Engine vs. SQream DB

System Properties Comparison Neo4j vs. Sadas Engine vs. SQream DB

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Editorial information provided by DB-Engines
NameNeo4j  Xexclude from comparisonSadas Engine  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environmentsa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelGraph DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score57.87
Rank#19  Overall
#1  Graph DBMS
Score0.00
Rank#351  Overall
#146  Relational DBMS
Score0.66
Rank#215  Overall
#107  Relational DBMS
Websiteneo4j.comwww.sadasengine.comsqream.com
Technical documentationneo4j.com/­docswww.sadasengine.com/­index.php/­downloads/­documentation-columnar-dbdocs.sqream.com
DeveloperNeo4j, Inc.SADAS s.r.l.SQream Technologies
Initial release200720062014
Current release4.3.4, September 20218.02020.2, July 2020
License infoCommercial or Open SourceOpen Source infoGPL version3, commercial licenses availablecommercial infofree trial version availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageJava, ScalaC++C++, CUDA, Haskell
Server operating systemsLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
AIX
Linux
Windows
Linux
Data schemeschema-free and schema-optionalyesyes
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Types
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.no
Secondary indexesyes infopluggable indexing subsystem, by default Apache Luceneyesyes
SQL infoSupport of SQLnoyesyes
APIs and other access methodsBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
JDBC
ODBC
Proprietary protocol
.Net
JDBC
ODBC
Supported programming languages.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Groovy
Java
PHP
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoUser defined Procedures and Functionsnouser defined functions in Python
Triggersyes infovia event handlernono
Partitioning methods infoMethods for storing different data on different nodesyes using Neo4j Fabrichorizontal partitioninghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlynonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infomanaged by 'Learn by Usage'
User concepts infoAccess controlUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Access rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Neo4jSadas EngineSQream DB
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
News

Jim Webber with Asurion’s Julie Fisher on Her Singular Path to Graph
14 October 2021

This Week in Neo4j – GDS 1.7 Features, Knowledge Graph with Spark and Neo4j, Digital Nomad Travel Logs, Link Predictions, Load Data Into AuraDB
9 October 2021

Combining Knowledge Graph and Graph Algorithms to Find Hidden Skills at NASA
8 October 2021

It’s Officially Fall: Let’s Catch Up on What You Missed This Summer
7 October 2021

This Week in Neo4j – Graphlytic Styles, Graphileon API Endpoints, O’Reilly Knowledge Graphs Course, Twitter Hashtags, Kafka with Neo4j AuraDB, Collatz Conjecture, Reactive Neo4j Spring Data
2 October 2021

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesGraphable delivers expert services for Neo4j and other Graph DBMS.
» more

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

More resources
Neo4jSadas EngineSQream DB
DB-Engines blog posts

Applying Graph Analytics to Game of Thrones
12 June 2019, Amy Hodler & Mark Needham, Neo4j (guest author)

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

The openCypher Project: Help Shape the SQL for Graphs
22 December 2015, Emil Eifrem (guest author)

show all

Recent citations in the news

Neo4J Releases Graph Data Science Library, Look For New Updates
24 September 2021, Analytics India Magazine

Neo4j raises Neo$325M as graph-based data analysis takes hold in enterprise
17 June 2021, TechCrunch

ArangoDB advances graph database fortunes with new funding
6 October 2021, TechTarget

Eight Roads launches its fourth fund: $450M aimed at European/Israeli scaleups
5 October 2021, TechCrunch

Graph-enabled customer intelligence in a post-cookie world
4 October 2021, Retail Times

provided by Google News

SQream Technologies raises $39.4 million for GPU-accelerated databases
24 June 2020, VentureBeat

Accelerated Databases In The Fast Lane
25 June 2020, The Next Platform

Alibaba Group leads $26.4M Series B in GPU database provider SQream
30 May 2018, TechCrunch

SQream, Core Scientific Partner to Accelerate Massive Data Analytics on GPU Cloud for Data Scientists
24 April 2020, HPCwire

Stretching GPU Database Performance With Flash Arrays
26 February 2019, The Next Platform

provided by Google News

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