DBMS > Memgraph vs. MongoDB vs. Neo4j vs. TDengine vs. Teradata
System Properties Comparison Memgraph vs. MongoDB vs. Neo4j vs. TDengine vs. Teradata
| Editorial information provided by DB-Engines | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Name | Memgraph Xexclude from comparison | MongoDB Xexclude from comparison | Neo4j Xexclude from comparison | TDengine Xexclude from comparison | Teradata Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Description | An open source graph database built for real-time streaming and compatible with Neo4j | 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 | Time Series DBMS and big data platform | A hybrid cloud data analytics software platform (Teradata Vantage) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Primary database model | Graph DBMS | Document store | Graph DBMS | Time Series DBMS | Relational DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Secondary database models | Spatial DBMS Search engine  integrated Lucene index, currently in MongoDB Atlas only.Time Series DBMS Time Series Collections introduced in Release 5.0Vector DBMS currently available in the MongoDB Atlas cloud service only | Relational DBMS | Document store Graph DBMS Spatial DBMS Time Series DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
|
|
|
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Website | memgraph.com | www.mongodb.com | neo4j.com | github.com/taosdata/TDengine tdengine.com | www.teradata.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Technical documentation | memgraph.com/docs | www.mongodb.com/docs/manual | neo4j.com/docs | docs.tdengine.com | docs.teradata.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Social network pages |      | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Developer | Memgraph Ltd | MongoDB, Inc | Neo4j, Inc. | TDEngine, previously Taos Data | Teradata | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Initial release | 2017 | 2009 | 2007 | 2019 | 1984 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Current release | 6.0.7, June 2023 | 5.19, April 2024 | 3.0, August 2022 | Teradata Vantage 1.0 MU2, January 2019 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| License Commercial or Open Source | Open Source BSL 1.1; commercial license for enterprise edition available | 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 AGPL V3, also commercial editions available | commercial | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Cloud-based only Only available as a cloud service | no | no MongoDB available as DBaaS (MongoDB Atlas) | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed. | MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more. | Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Implementation language | C and C++ | C++ | Java, Scala | C | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Server operating systems | Linux | Linux OS X Solaris Windows | Linux Can also be used server-less as embedded Java database. OS X Solaris Windows | Linux Windows | hosted Linux | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Data scheme | schema-free and schema-optional | 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 | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Typing predefined data types such as float or date | yes | yes string, integer, double, decimal, boolean, date, object_id, geospatial | yes | 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 | no | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Secondary indexes | yes | yes pluggable indexing subsystem, by default Apache Lucene | no | yes Join-index to prejoin tables, aggregate index, sparse index, hash index | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| SQL Support of SQL | no | Read-only SQL queries via the MongoDB Atlas SQL Interface | no | Standard SQL with extensions for time-series applications | yes SQL 2016 + extensions | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| APIs and other access methods | Bolt protocol Cypher query language | GraphQL HTTP REST Prisma proprietary protocol using JSON | Bolt protocol Cypher query language Java API Neo4j-OGM Object Graph MapperRESTful HTTP API Spring Data Neo4j TinkerPop 3 | JDBC RESTful HTTP API | .NET Client API HTTP REST JDBC JMS Adapter ODBC OLE DB | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Supported programming languages | .Net C C++ Elixir Go Haskell Java JavaScript PHP Python Ruby Scala | Actionscript unofficial driver C C# C++ Clojure unofficial driverColdFusion unofficial driverD unofficial driverDart unofficial driverDelphi unofficial driverErlang Go Groovy unofficial driverHaskell Java JavaScript Kotlin Lisp unofficial driverLua unofficial driverMatLab unofficial driverPerl PHP PowerShell unofficial driverProlog unofficial driverPython R unofficial driverRuby Rust Scala Smalltalk unofficial driverSwift | .Net Clojure Elixir Go Groovy Haskell Java JavaScript Perl PHP Python Ruby Scala | C C# C++ Go Java JavaScript (Node.js) PHP Python Rust | C C++ Cobol Java (JDBC-ODBC) Perl PL/1 Python R Ruby | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Server-side scripts Stored procedures | JavaScript | yes User defined Procedures and Functions | no | yes UDFs, stored procedures, table functions in parallel | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Triggers | yes in MongoDB Atlas only | yes via event handler | yes, via alarm monitoring | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Partitioning methods Methods for storing different data on different nodes | Sharding dynamic graph partitioning | 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 | Sharding | Sharding Hashing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Replication methods Methods for redundantly storing data on multiple nodes | Multi-source replication using RAFT | Multi-Source deployments with MongoDB Atlas Global Clusters Source-replica replication | Causal Clustering using Raft protocol available in in Enterprise Version only | yes | Multi-source replication Source-replica replication | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| MapReduce Offers an API for user-defined Map/Reduce methods | no | yes | no | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Consistency concepts Methods to ensure consistency in a distributed system | 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 | Immediate Consistency | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Foreign keys Referential integrity | yes relationships in graphs | no typically not used, however similar functionality with DBRef possible | yes Relationships in graphs | no | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | ACID with snapshot isolation | Multi-document ACID Transactions with snapshot isolation | ACID | ACID | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Concurrency Support for concurrent manipulation of data | yes, multi-version concurrency control (MVCC) | yes | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Durability Support for making data persistent | yes with periodic snapshot and write-ahead logging (WAL) of changes | yes optional, enabled by default | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | yes | yes In-memory storage engine introduced with MongoDB version 3.2 | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| User concepts Access control | Users, roles and permissions | Access rights for users and roles | Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos) | yes | fine grained access rights according to SQL-standard | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| More information provided by the system vendor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Memgraph | MongoDB | Neo4j | TDengine | Teradata | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Specific characteristics | Memgraph directly connects to your streaming infrastructure so you and your team... » more | 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 | TDengine™ is a next generation data historian purpose-built for Industry 4.0 and... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Competitive advantages | Business Source License ensures a future for the Memgraph community MAGE algorithm... » more | 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 at any Scale: TDengine is purpose-built for handling massive industrial... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Typical application scenarios | Graph algorithms in bioinformatics Social network analysis Cryptocurrency network... » more | AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of... » more | Real-Time Recommendations Master Data Management Identity and Access Management Network... » more | TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected... » 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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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 | TDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Licensing and pricing models | You can check out our pricing model and licenses on the company website . » more | 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 | TDengine OSS is an open source, cloud native time series database. It includes built-in... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| News | Creating the GQL Database Language Standard This Week in Neo4j: GraphRAG, Knowledge Graphs, Open Source AI, GraphQL and more This Week in Neo4j: Nodes 2024, Data Modelling, Events, Knowledge Graphs and more GQL is Here: Your Cypher Queries in a GQL World GQL: The ISO Standard for Graphs Has Arrived | Can Typical Time-Series Databases Replace Data Historians? TDengine 3.3.0.0 Release Notes How to Unlock Value from Industrial Data with AI and ML Technology Compare InfluxDB vs. TDengine Why We Need the Next Generation Data Historian | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
We invite representatives of system vendors to contact us for updating and extending the system information, | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Related products and services | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 3rd parties | 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 CData: Connect to Big Data & NoSQL through standard Drivers. » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
We invite representatives of vendors of related products to contact us for presenting information about their offerings here. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| More resources | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Memgraph | MongoDB | Neo4j | TDengine | Teradata | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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 | Teradata is the most popular data warehouse DBMS Enhance Your Network with the Power of a Graph DB Graph database company Memgraph raises $9.34M Graph Database Market to grow at a CAGR of 19.9% from 2022 to 2027|Increased demand for low-latency queries is a ... Croatian graph database startup Memgraph raises €8M with Microsoft as key investor, plans to boost R&D Modeling and Navigating a Transportation Network with Memgraph provided by Google News MongoDB, Inc. Announces Date of First Quarter Fiscal 2025 Earnings Call MongoDB CEO Ittycheria: AI Has Reached 'A Crucible Moment' In Its Development. MongoDB.local NYC: Charting enterprise AI transformation New York Life Investment Management LLC Grows Stock Holdings in MongoDB, Inc. (NASDAQ:MDB) Build RAG applications with MongoDB Atlas, now available in Knowledge Bases for Amazon Bedrock | Amazon Web ... provided by Google News Neo4j Awards Technology Grant to Syracuse University for Mapping Misinformation Trends in 2024 U.S. Elections with ... Using Neo4j’s graph database for AI in Azure Neo4j Is Planning IPO on Nasdaq, Largest Owner Greenbridge Says Neo4j CTO says new Graph Query Language standard will have 'massive ripple effects' Leveraging Neo4j and Amazon Bedrock for an Explainable, Secure, and Connected Generative AI Solution | Amazon ... provided by Google News TDengine debuts cloud-based time-series data processing platform for IoT deployments New TDengine Benchmark Results Show Up to 37.0x Higher Query Performance Than InfluxDB and TimescaleDB Comparing Different Time-Series Databases provided by Google News Insider Sale: Chief Customer Officer Michael Hutchinson Sells 18,500 Shares of Teradata Corp (TDC) Teradata exec sells $609k in company stock By Investing.com Kenvue, Crocs rise; Disney, Teradata fall, Tuesday, 5/7/2024 Amalgamated Bank Has $3.54 Million Holdings in Teradata Co. (NYSE:TDC) Teradata: Q1 Earnings Snapshot provided by Google News | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Share this page
