DBMS > Microsoft Azure Data Explorer vs. Neo4j

System Properties Comparison Microsoft Azure Data Explorer vs. Neo4j

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Editorial information provided by DB-Engines
Name	Microsoft Azure Data Explorer  Xexclude from comparison	Neo4j  Xexclude from comparison
Description	Fully managed big data interactive analytics platform	Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings
Primary database model	Relational DBMS column oriented	Graph DBMS
Secondary database models	Document store If a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell Event Store this is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps) Search engine support for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine Time Series DBMS see docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 7.34 Rank #59   Overall #34   Relational DBMS	Score 59.53 Rank #19   Overall #1   Graph DBMS
Website	azure.microsoft.com/­services/­data-explorer	neo4j.com
Technical documentation	docs.microsoft.com/­en-us/­azure/­data-explorer	neo4j.com/­docs
Developer	Microsoft	Neo4j, Inc.
Initial release	2019	2007
Current release	cloud service with continuous releases	4.4.8, June 2022
License Commercial or Open Source	commercial	Open Source GPL version3, commercial licenses available
Cloud-based only Only available as a cloud service	yes	no
DBaaS offerings (sponsored links) Database 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 language		Java, Scala
Server operating systems	hosted	Linux Can also be used server-less as embedded Java database. OS X Solaris Windows
Data scheme	Fixed schema with schema-less datatypes (dynamic)	schema-free and schema-optional
Typing predefined data types such as float or date	yes bool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types	yes
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	yes
Secondary indexes	all fields are automatically indexed	yes pluggable indexing subsystem, by default Apache Lucene
SQL Support of SQL	Kusto Query Language (KQL), SQL subset	no
APIs and other access methods	Microsoft SQL Server communication protocol (MS-TDS) RESTful HTTP API	Bolt protocol Cypher query language Java API Neo4j-OGM Object Graph Mapper RESTful HTTP API Spring Data Neo4j TinkerPop 3
Supported programming languages	.Net Go Java JavaScript (Node.js) PowerShell Python R	.Net Clojure Elixir Go Groovy Haskell Java JavaScript Perl PHP Python Ruby Scala
Server-side scripts Stored procedures	Yes, possible languages: KQL, Python, R	yes User defined Procedures and Functions
Triggers	yes see docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy	yes via event handler
Partitioning methods Methods for storing different data on different nodes	Sharding Implicit feature of the cloud service	yes using Neo4j Fabric
Replication methods Methods for redundantly storing data on multiple nodes	yes Implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.	Causal Clustering using Raft protocol available in in Enterprise Version only
MapReduce Offers an API for user-defined Map/Reduce methods	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Eventual Consistency Immediate Consistency	Causal and Eventual Consistency configurable in Causal Cluster setup Immediate Consistency in stand-alone mode
Foreign keys Referential integrity	no	yes Relationships in graphs
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes
Durability Support for making data persistent	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no
User concepts Access control	Azure Active Directory Authentication	Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
	Microsoft Azure Data Explorer	Neo4j
Specific characteristics	Azure Data Explorer is a fast and highly scalable data exploration service for log... » more	Neo4j delivers graph technology that has been battle tested for performance and scale... » more
Competitive advantages	Kusto Query Language (innovative query language, optimized for high performance data... » more	Neo4j is the market leader, graph database category creator, and the most widely... » more
Typical application scenarios	IoT applications IoT devices generate billions of sensor readings. Normalizing and... » more	Real-Time Recommendations Master Data Management Identity and Access Management Network... » more
Key customers	Microsoft, DocuSign, Taboola, Bosch, Siemens Healthineers, Bühler, Ecolab, Zoomd » more	Over 800 commercial customers and over 4300 startups use Neo4j. Flagship customers... » more
Market metrics	Azure Data Explorer is the data service for Azure Monitor, Azure Time Series Insights,... » more	Neo4j boasts the world's largest graph database ecosystem with more than 140 million... » more
Licensing and pricing models	An Azure Data Explorer cluster is a pair of engine and data management clusters which... » more	GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial... » more
News		This Week in Neo4j: Bloom 2.3, Graph Data Science, Java, AWS, Python, Ontology, Microservices, and More 25 June 2022 Can’t Stop, Won’t Stop: Graph Data Science 2.1 Is Better Than Ever 23 June 2022 Announcing Neo4j Bloom 2.3: Supercharged With Graph Data Science 21 June 2022 Pride at Neo4j: Thirty Years of Hope 20 June 2022 This Week in Neo4j: AuraDS on Vertex AI, Going Meta Series, Cypher Cheatsheet, GraphConnect Recordings, Centrality Algorithms, and More 18 June 2022
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3rd parties		Graphable delivers expert services for Neo4j and other Graph DBMS. » more
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	Microsoft Azure Data Explorer	Neo4j
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