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DBMS > Hive vs. Microsoft Azure Cosmos DB vs. Neo4j

System Properties Comparison Hive vs. Microsoft Azure Cosmos DB vs. Neo4j

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonNeo4j  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopGlobally distributed, horizontally scalable, multi-model database serviceScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings
Primary database modelRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Graph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score57.29
Rank#19  Overall
#13  Relational DBMS
Score27.12
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score45.75
Rank#21  Overall
#1  Graph DBMS
Websitehive.apache.orgazure.microsoft.com/­services/­cosmos-dbneo4j.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homelearn.microsoft.com/­azure/­cosmos-dbneo4j.com/­docs
DeveloperApache Software Foundation infoinitially developed by FacebookMicrosoftNeo4j, Inc.
Initial release201220142007
Current release3.1.3, April 20225.21.2, July 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoGPL version3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenoyesno
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 languageJavaJava, Scala
Server operating systemsAll OS with a Java VMhostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeyesschema-freeschema-free and schema-optional
Typing infopredefined data types such as float or dateyesyes infoJSON typesyes
Secondary indexesyesyes infoAll properties auto-indexed by defaultyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageno
APIs and other access methodsJDBC
ODBC
Thrift
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languagesC++
Java
PHP
Python
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceJavaScriptyes infoUser defined Procedures and Functions
TriggersnoJavaScriptyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoImplicit feature of the cloud serviceCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducewith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-item ACID transactions with snapshot isolation within a partitionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
User concepts infoAccess controlAccess rights for users, groups and rolesAccess rights can be defined down to the item levelUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
HiveMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBNeo4j
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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More resources
HiveMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBNeo4j
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