DBMS > MongoDB vs. Neo4j vs. Redis vs. ScyllaDB vs. Transwarp Hippo
System Properties Comparison MongoDB vs. Neo4j vs. Redis vs. ScyllaDB vs. Transwarp Hippo
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Name | MongoDB Xexclude from comparison | Neo4j Xexclude from comparison | Redis Xexclude from comparison | ScyllaDB Xexclude from comparison | Transwarp Hippo Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Description | 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 | Popular in-memory data platform used as a cache, message broker, and database that can be deployed on-premises, across clouds, and hybrid environments Redis focuses on performance so most of its design decisions prioritize high performance and very low latencies. | Cassandra and DynamoDB compatible wide column store | Cloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primary database model | Document store | Graph DBMS | Key-value store Multiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence | Wide column store | Vector 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 5.0 Vector DBMS currently available in the MongoDB Atlas cloud service only | Document store with RedisJSON Graph DBMS with RedisGraph Spatial DBMS Search engine with RediSearch Time Series DBMS with RedisTimeSeries Vector DBMS | Key-value store | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Website | www.mongodb.com | neo4j.com | redis.com redis.io | www.scylladb.com | www.transwarp.cn/en/subproduct/hippo | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technical documentation | www.mongodb.com/docs/manual | neo4j.com/docs | docs.redis.com/latest/index.html redis.io/docs | docs.scylladb.com | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Developer | MongoDB, Inc | Neo4j, Inc. | Redis project core team, inspired by Salvatore Sanfilippo Development sponsored by Redis Inc. | ScyllaDB | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Initial release | 2009 | 2007 | 2009 | 2015 | 2023 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Current release | 6.0.7, June 2023 | 5.20, May 2024 | 7.2.5, May 2024 | ScyllaDB Open Source 5.4.1, January 2024 | 1.0, May 2023 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
License Commercial or Open Source | 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 source-available extensions (modules), commercial licenses for Redis Enterprise | Open Source Open Source (AGPL), commercial license available | commercial | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cloud-based only Only available as a cloud service | no MongoDB available as DBaaS (MongoDB Atlas) | no | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers. | Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs. | Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Implementation language | C++ | Java, Scala | C | C++ | C++ | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server operating systems | Linux OS X Solaris Windows | Linux Can also be used server-less as embedded Java database. OS X Solaris Windows | BSD Linux OS X Windows ported and maintained by Microsoft Open Technologies, Inc. | Linux | Linux macOS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Data scheme | 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 | schema-free | schema-free | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typing predefined data types such as float or date | yes string, integer, double, decimal, boolean, date, object_id, geospatial | yes | partial Supported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes | yes | Vector, Numeric and String | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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 | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary indexes | yes | yes pluggable indexing subsystem, by default Apache Lucene | yes with RediSearch module | yes cluster global secondary indices | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | Read-only SQL queries via the MongoDB Atlas SQL Interface | no | with RediSQL module | SQL-like DML and DDL statements (CQL) | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs and other access methods | 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 | proprietary protocol RESP - REdis Serialization Protocol | Proprietary protocol (CQL) compatible with CQL (Cassandra Query Language, an SQL-like language) RESTful HTTP API (DynamoDB compatible) Thrift | RESTful HTTP API | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Supported programming languages | 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 | C C# C++ Clojure Crystal D Dart Elixir Erlang Fancy Go Haskell Haxe Java JavaScript (Node.js) Lisp Lua MatLab Objective-C OCaml Pascal Perl PHP Prolog Pure Data Python R Rebol Ruby Rust Scala Scheme Smalltalk Swift Tcl Visual Basic | For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby | C++ Java Python | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-side scripts Stored procedures | JavaScript | yes User defined Procedures and Functions | Lua; Redis Functions coming in Redis 7 (slides and Github) | yes, Lua | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | yes in MongoDB Atlas only | yes via event handler | publish/subscribe channels provide some trigger functionality; RedisGears | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitioning methods Methods for storing different data on different nodes | 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 Automatic hash-based sharding with support for hash-tags for manual sharding | Sharding | Sharding | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replication methods Methods for redundantly storing data on multiple nodes | Multi-Source deployments with MongoDB Atlas Global Clusters Source-replica replication | Causal Clustering using Raft protocol available in in Enterprise Version only | Multi-source replication with Redis Enterprise Pack Source-replica replication Chained replication is supported | selectable replication factor Representation of geographical distribution of servers is possible | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Offers an API for user-defined Map/Reduce methods | yes | no | through RedisGears | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Consistency concepts Methods to ensure consistency in a distributed system | 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 | Eventual Consistency Causal consistency can be enabled in Active-Active databases Strong consistency with Redis Raft Strong eventual consistency with Active-Active | Eventual Consistency Tunable Consistency can be individually decided for each write operation | Immediate Consistency | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Foreign keys Referential integrity | no typically not used, however similar functionality with DBRef possible | yes Relationships in graphs | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | Multi-document ACID Transactions with snapshot isolation | ACID | Atomic execution of command blocks and scripts and optimistic locking | no Atomicity and isolation are supported for single operations | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Support for concurrent manipulation of data | yes | yes | yes Data access is serialized by the server | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Support for making data persistent | yes optional, enabled by default | yes | yes Configurable mechanisms for persistency via snapshots and/or operations logs | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | yes In-memory storage engine introduced with MongoDB version 3.2 | yes | yes in-memory tables | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
User concepts Access control | Access rights for users and roles | Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos) | Access Control Lists (ACLs): redis.io/docs/management/security/acl LDAP and Role-Based Access Control (RBAC) for Redis Enterprise Mutual TLS authentication: redis.io/docs/management/security/encryption Password-based authentication | Access rights for users can be defined per object | Role based access control and fine grained access rights | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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MongoDB | Neo4j | Redis | ScyllaDB | Transwarp Hippo | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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 | ScyllaDB is engineered to deliver predictable performance at scale. It’s adopted... » 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 | Highly-performant (efficiently utilizes full resources of a node and network; millions... » 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 | ScyllaDB is ideal for applications that require high throughput and low latency at... » 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 | Discord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,... » 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 | ScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput... » 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 | ScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
News | 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 openCypher Will Pave the Road to GQL for Cypher Implementers 7 Tips for Submitting Your NODES 2024 Talk | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Related products and services | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
3rd parties | Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development. » more Studio 3T: The world's favorite IDE for working with MongoDB » more CData: Connect to Big Data & NoSQL through standard Drivers. » more | Redisson PRO: The ultra-fast Redis Java Client. » more Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs. » more Navicat for Redis: the award-winning Redis management tool with an intuitive and powerful graphical interface. » more CData: Connect to Big Data & NoSQL through standard Drivers. » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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MongoDB | Neo4j | Redis | ScyllaDB | Transwarp Hippo | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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 | PostgreSQL is the DBMS of the Year 2018 MySQL, PostgreSQL and Redis are the winners of the March ranking MongoDB is the DBMS of the year, defending the title from last year | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Recent citations in the news | Why MongoDB Plunged Over 35% in May MongoDB First Quarter 2025 Earnings: Beats Expectations Looking Into MongoDB's Recent Short Interest - MongoDB (NASDAQ:MDB) Should You Buy MongoDB, Snowflake, and Atlassian at Their 52-Week Lows? Why MongoDB Plunged Over 35% in May 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 Neo4j Announces Collaboration with Snowflake for Advanced AI Insights & Predictive Analytics provided by Google News | AWS announces vector search for Amazon MemoryDB for Redis (Preview) Redis expands data management capabilities with Speedb acquisition – Blocks and Files Redis switches licenses, acquires Speedb to go beyond its core in-memory database In-memory database Redis wants to dabble in disk Linux Foundation Backs 'Valkey' Open-Source Fork of Redis provided by Google News | Sleeping at Scale - Delivering 10k Timers per Second per Node with Rust, Tokio, Kafka, and Scylla ScyllaDB Raises $43M to Take on MongoDB at Scale, Push Database Performance to New Levels Running ScyllaDB NoSQL on Kubernetes with Spot Instances ScyllaDB on AWS is a NoSQL Database Built for Gigabyte-to-Petabyte Scale | Amazon Web Services ScyllaDB Database Review | eWeek provided by Google News |
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