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DBMS > Apache Kylin vs. Heroic vs. Microsoft Azure SQL Database vs. Neo4j vs. openGauss

System Properties Comparison Apache Kylin vs. Heroic vs. Microsoft Azure SQL Database vs. Neo4j vs. openGauss

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonHeroic  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonNeo4j  Xexclude from comparisonopenGauss  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchDatabase as a Service offering with high compatibility to Microsoft SQL ServerScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelRelational DBMSTime Series DBMSRelational DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.14
Rank#171  Overall
#77  Relational DBMS
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Score72.95
Rank#16  Overall
#11  Relational DBMS
Score42.68
Rank#21  Overall
#1  Graph DBMS
Score1.11
Rank#175  Overall
#79  Relational DBMS
Websitekylin.apache.orggithub.com/­spotify/­heroicazure.microsoft.com/­en-us/­products/­azure-sql/­databaseneo4j.comgitee.com/­opengauss
opengauss.org
Technical documentationkylin.apache.org/­docsspotify.github.io/­heroicdocs.microsoft.com/­en-us/­azure/­azure-sqlneo4j.com/­docsdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperApache Software Foundation, originally contributed from eBay IncSpotifyMicrosoftNeo4j, Inc.Huawei and openGauss community
Initial release20152014201020072019
Current release3.1.0, July 2020V125.23, August 20243.0, March 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialOpen Source infoGPL version3, commercial licenses availableOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesnono
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 languageJavaJavaC++Java, ScalaC, C++, Java
Server operating systemsLinuxhostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
Data schemeyesschema-freeyesschema-free and schema-optionalyes
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.nonoyesno
Secondary indexesyesyes infovia Elasticsearchyesyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)noyesnoANSI SQL 2011
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HQL (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
JDBC
ODBC
Supported programming languages.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C
C++
Java
Server-side scripts infoStored proceduresnoTransact SQLyes infoUser defined Procedures and Functionsyes
Triggersnoyesyes infovia event handleryes
Partitioning methods infoMethods for storing different data on different nodesShardingyes using Neo4j Fabrichorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, with always 3 replicas availableCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, 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
Apache KylinHeroicMicrosoft Azure SQL Database infoformerly SQL AzureNeo4jopenGauss
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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