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DBMS > Heroic vs. Microsoft Azure Synapse Analytics vs. Neo4j vs. RDFox

System Properties Comparison Heroic vs. Microsoft Azure Synapse Analytics vs. Neo4j vs. RDFox

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNeo4j  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsHigh performance knowledge graph and semantic reasoning engine
Primary database modelTime Series DBMSRelational DBMSGraph DBMSGraph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Score18.98
Rank#31  Overall
#19  Relational DBMS
Score42.68
Rank#21  Overall
#1  Graph DBMS
Score0.22
Rank#305  Overall
#25  Graph DBMS
#15  RDF stores
Websitegithub.com/­spotify/­heroicazure.microsoft.com/­services/­synapse-analyticsneo4j.comwww.oxfordsemantic.tech
Technical documentationspotify.github.io/­heroicdocs.microsoft.com/­azure/­synapse-analyticsneo4j.com/­docsdocs.oxfordsemantic.tech
DeveloperSpotifyMicrosoftNeo4j, Inc.Oxford Semantic Technologies
Initial release2014201620072017
Current release5.23, August 20246.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoGPL version3, commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
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 languageJavaC++Java, ScalaC++
Server operating systemshostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeschema-freeyesschema-free and schema-optionalyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesyesyes
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.nono
Secondary indexesyes infovia Elasticsearchyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLnoyesnono
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
RESTful HTTP API
SPARQL 1.1
Supported programming languagesC#
Java
PHP
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C
Java
Server-side scripts infoStored proceduresnoTransact SQLyes infoUser defined Procedures and Functions
Triggersnonoyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlyesUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Roles, resources, and access types
More information provided by the system vendor
HeroicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNeo4jRDFox
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
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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