DBMS > Dgraph vs. Microsoft Azure Data Explorer vs. MongoDB vs. Neo4j vs. Trino
System Properties Comparison Dgraph vs. Microsoft Azure Data Explorer vs. MongoDB vs. Neo4j vs. Trino
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Name | Dgraph Xexclude from comparison | Microsoft Azure Data Explorer Xexclude from comparison | MongoDB Xexclude from comparison | Neo4j Xexclude from comparison | Trino Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Description | Distributed and scalable native Graph DBMS | Fully managed big data interactive analytics platform | One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure | Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings | Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primary database model | Graph DBMS | Relational DBMS column oriented | Document store | Graph DBMS | Relational 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) Spatial DBMS 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 | Spatial DBMS Search engine integrated Lucene index, currently in MongoDB Atlas only. Time Series DBMS Time Series Collections introduced in Release 5.0 Vector DBMS currently available in the MongoDB Atlas cloud service only | Document store Key-value store Spatial DBMS Search engine Time Series DBMS Wide column store | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Website | dgraph.io | azure.microsoft.com/services/data-explorer | www.mongodb.com | neo4j.com | trino.io | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technical documentation | dgraph.io/docs | docs.microsoft.com/en-us/azure/data-explorer | www.mongodb.com/docs/manual | neo4j.com/docs | trino.io/broadcast trino.io/docs/current | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Developer | Dgraph Labs, Inc. | Microsoft | MongoDB, Inc | Neo4j, Inc. | Trino Software Foundation | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Initial release | 2016 | 2019 | 2009 | 2007 | 2012 2020 rebranded from PrestoSQL | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Current release | cloud service with continuous releases | 6.0.7, June 2023 | 5.20, May 2024 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
License Commercial or Open Source | Open Source Apache 2.0 | commercial | Open Source MongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available. | Open Source GPL version3, commercial licenses available | Open Source Apache Version 2.0 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cloud-based only Only available as a cloud service | no | yes | no MongoDB available as DBaaS (MongoDB Atlas) | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers. | Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Implementation language | Go | C++ | Java, Scala | Java | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server operating systems | Linux OS X Windows | hosted | Linux OS X Solaris Windows | Linux Can also be used server-less as embedded Java database. OS X Solaris Windows | Linux macOS for devlopment | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Data scheme | schema-free | Fixed schema with schema-less datatypes (dynamic) | schema-free Although schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema. | schema-free and schema-optional | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typing predefined data types such as float or date | yes | yes bool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/en-us/azure/kusto/query/scalar-data-types | yes string, integer, double, decimal, boolean, date, object_id, geospatial | yes | 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. | no | yes | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary indexes | yes | all fields are automatically indexed | yes | yes pluggable indexing subsystem, by default Apache Lucene | depending on connected data-source | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | no | Kusto Query Language (KQL), SQL subset | Read-only SQL queries via the MongoDB Atlas SQL Interface | no | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs and other access methods | GraphQL query language gRPC (using protocol buffers) API HTTP API | Microsoft SQL Server communication protocol (MS-TDS) RESTful HTTP API | GraphQL HTTP REST Prisma proprietary protocol using JSON | Bolt protocol Cypher query language Java API Neo4j-OGM Object Graph Mapper RESTful HTTP API Spring Data Neo4j TinkerPop 3 | JDBC RESTful HTTP API Trino CLI | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Supported programming languages | C# C++ Go Java JavaScript (Node.js) PHP Python Ruby | .Net Go Java JavaScript (Node.js) PowerShell Python R | Actionscript unofficial driver C C# C++ Clojure unofficial driver ColdFusion unofficial driver D unofficial driver Dart unofficial driver Delphi unofficial driver Erlang Go Groovy unofficial driver Haskell Java JavaScript Kotlin Lisp unofficial driver Lua unofficial driver MatLab unofficial driver Perl PHP PowerShell unofficial driver Prolog unofficial driver Python R unofficial driver Ruby Rust Scala Smalltalk unofficial driver Swift | .Net Clojure Elixir Go Groovy Haskell Java JavaScript Perl PHP Python Ruby Scala | Go Java JavaScript (Node.js) Python R Ruby | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-side scripts Stored procedures | no | Yes, possible languages: KQL, Python, R | JavaScript | yes User defined Procedures and Functions | yes, depending on connected data-source | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | no | yes see docs.microsoft.com/en-us/azure/kusto/management/updatepolicy | yes in MongoDB Atlas only | yes via event handler | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitioning methods Methods for storing different data on different nodes | yes | Sharding Implicit feature of the cloud service | Sharding Partitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime. | yes using Neo4j Fabric | depending on connected data-source | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replication methods Methods for redundantly storing data on multiple nodes | Synchronous replication via Raft | yes Implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant. | Multi-Source deployments with MongoDB Atlas Global Clusters Source-replica replication | Causal Clustering using Raft protocol available in in Enterprise Version only | depending on connected data-source | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Offers an API for user-defined Map/Reduce methods | no | Spark connector (open source): github.com/Azure/azure-kusto-spark | yes | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Consistency concepts Methods to ensure consistency in a distributed system | Immediate Consistency | Eventual Consistency Immediate Consistency | Eventual Consistency can be individually decided for each read operation Immediate Consistency default behaviour | Causal and Eventual Consistency configurable in Causal Cluster setup Immediate Consistency in stand-alone mode | depending on connected data-source | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Foreign keys Referential integrity | no | no | no typically not used, however similar functionality with DBRef possible | yes Relationships in graphs | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | ACID | no | Multi-document ACID Transactions with snapshot isolation | ACID | depending on connected data-source | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Support for concurrent manipulation of data | yes | yes | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Support for making data persistent | yes | yes | yes optional, enabled by default | yes | depending on connected data-source | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | no | yes In-memory storage engine introduced with MongoDB version 3.2 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
User concepts Access control | no Planned for future releases | Azure Active Directory Authentication | Access rights for users and roles | Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos) | SQL standard access control | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Dgraph | Microsoft Azure Data Explorer | MongoDB | Neo4j | Trino | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Specific characteristics | MongoDB provides an integrated suite of cloud database and data services to accelerate... » more | Neo4j delivers graph technology that has been battle tested for performance and scale... » more | Trino is the fastest open source, massively parallel processing SQL query engine... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Competitive advantages | Built around the flexible document data model and unified API, MongoDB is a developer... » more | Neo4j is the market leader, graph database category creator, and the most widely... » more | High performance analtyics and data processing of very large data sets Powerful ANSI... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typical application scenarios | AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of... » more | Real-Time Recommendations Master Data Management Identity and Access Management Network... » more | Performant analytics query engine for data warehouses, data lakes, and data lakehouses... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Key customers | ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,... » more | Over 800 commercial customers and over 4300 startups use Neo4j. Flagship customers... » more | Trino is widely adopted across the globe as freely-available open source software.... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Market metrics | Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month... » more | Neo4j boasts the world's largest graph database ecosystem with more than 140 million... » more | 33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Licensing and pricing models | MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses... » more | GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial... » more | Trino is an open source project and usage is therefore free. Commercial offerings... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
News | Neo4j-Databricks Connector Delivers Deeper Insights, Faster GenAI Development This Week in Neo4j: Podcast, Testing, Knowledge Graph, GenAI and more Neo4j and Snowflake Bring Graph Data Science Into the AI Data Cloud RDF vs. Property Graphs: Choosing the Right Approach for Implementing a Knowledge Graph This Week in Neo4j: Importing Data, NODES, GenAI, Going Meta and more | One busy week to go before Trino Fest 2024 60: Trino calling AI Big names round out the Trino Fest 2024 lineup 59: Querying Trino with Java and jOOQ A sneak peek of Trino Fest 2024 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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3rd parties | CData: Connect to Big Data & NoSQL through standard Drivers. » more Studio 3T: The world's favorite IDE for working with MongoDB » more Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development. » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Dgraph | Microsoft Azure Data Explorer | MongoDB | Neo4j | Trino | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DB-Engines blog posts | Snowflake is the DBMS of the Year 2021 PostgreSQL is the DBMS of the Year 2020 PostgreSQL is the DBMS of the Year 2018 | Applying Graph Analytics to Game of Thrones MySQL, PostgreSQL and Redis are the winners of the March ranking The openCypher Project: Help Shape the SQL for Graphs | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Recent citations in the news | Dgraph on AWS: Setting up a horizontally scalable graph database | Amazon Web Services Popular Open Source GraphQL Company Dgraph Secures $6M in Seed Round with New Leadership Dgraph Raises $6M in Seed Funding Dgraph Rises to the Top Graph Database on GitHub With 11 G2 Badges and 11M Downloads Dgraph raises $11.5 million for scalable graph database solutions provided by Google News | We’re retiring Azure Time Series Insights on 7 July 2024 – transition to Azure Data Explorer | Azure updates Update records in a Kusto Database (public preview) | Azure updates Public Preview: Azure Data Explorer connector for Apache Flink | Azure updates Announcing General Availability to migrate Virtual Network injected Azure Data Explorer Cluster to Private Endpoints ... New Features for graph-match KQL Operator: Enhanced Pattern Matching and Cycle Control | Azure updates provided by Google News | MongoDB Stock Sinks 20% As Company Lowers Sales Guidance Why MongoDB Stock Plunged Today Dorsal Capital Management LP Has $65.42 Million Stock Position in MongoDB, Inc. (NASDAQ:MDB) MongoDB, Inc. Announces First Quarter Fiscal 2025 Financial Results MongoDB shares sink 23% after management trims guidance provided by Google News | Neo4j graph analytics integrated with Snowflake's AI cloud – Blocks and Files Neo4j integrates dozens of graph analytics functions with data in Snowflake Neo4j & Snowflake Collaborate for AI Insights & Analytics Neo4j Announces Collaboration with Microsoft to Advance GenAI and Data Solutions USA - English - India - English Using Neo4j’s graph database for AI in Azure provided by Google News | The Perfect AI Storage: Trino From Facebook And Iceberg From Netflix? Starburst Brings Dataframes Into Trino Platform Query big data with resilience using Trino in Amazon EMR with Amazon EC2 Spot Instances for less cost | Amazon ... A look at Presto, Trino SQL query engines Trino: The Open-source Data Query Engine That Split from Facebook provided by Google News |
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