MongoDB vs. Redis Comparison


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		Related Products Couchbase Couchbase’s operational data platform for AI is a scalable foundation for enterprise operational, analytical, mobile and AI workloads that replaces legacy infrastructure and data services. Bring your data to life in new ways with Couchbase’s enterprise data partnership: launch game-changing customer experiences, explore the infinite possibilities of AI, scale your global operations, and move your data from the cloud to the edge, and beyond. Couchbase’s operational data platform for AI eliminates fragmented tech stacks, so teams can stay innovative and agile, with less risk and lower cost of ownership. With enterprise partnership and scalable, AI-ready technology, Couchbase turns your data into the foundation for your next breakthrough. 417 Ratings Visit Website RaimaDB RaimaDB is an embedded time series database for IoT and Edge devices that can run in-memory. It is an extremely powerful, lightweight and secure RDBMS. Field tested by over 20 000 developers worldwide and has more than 25 000 000 deployments. RaimaDB is a high-performance, cross-platform embedded database designed for mission-critical applications, particularly in the Internet of Things (IoT) and edge computing markets. It offers a small footprint, making it suitable for resource-constrained environments, and supports both in-memory and persistent storage configurations. RaimaDB provides developers with multiple data modeling options, including traditional relational models and direct relationships through network model sets. It ensures data integrity with ACID-compliant transactions and supports various indexing methods such as B+Tree, Hash Table, R-Tree, and AVL-Tree. 12 Ratings Visit Website TIMi The most efficient, sovereign & unified "on-premise" data platform available today. Think about the Azure data platform, but on steroids and 100% Sovereign. 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Also available in EU-hosted sovereign cloud. 68 Ratings Visit Website Google Cloud SQL Fully managed relational database service for MySQL, PostgreSQL, and SQL Server with rich extension collections, configuration flags, and developer ecosystems. New customers get $300 in free credits to spend on Cloud SQL. You won’t be charged until you upgrade. Reduce maintenance costs with fully managed MySQL, PostgreSQL and SQL Server databases. Ensure business continuity with reliable and secure services backed by 24/7 SRE team. Data encryption at rest and in transit. Private connectivity with Virtual Private Cloud and user-controlled network access with firewall protection. Compliant with SSAE 16, ISO 27001, PCI DSS, and HIPAA. Scale your instances effortlessly with a single API call whether you start with simple testing or you need a highly available database in production. Simplify database operations with AI-powered assistance in Gemini, now in preview on Cloud SQL. It streamlines development, performance optimization, fleet management, governance, and migration. 554 Ratings Visit Website DbVisualizer DbVisualizer is a universal database client for anyone who works with data, from solo developers and startups to professional teams managing complex environments, including developers, DBAs, analysts, and data engineers working with relational and NoSQL databases. It offers a graphical interface for database development, SQL querying, and data exploration. Key features: - SQL editor with autocomplete, visual query builders, variables, and execution tools - AI Assistant for questions, error explanations, and code analysis - Built-in Git integration for SQL scripts and collaboration - Customizable layouts, key bindings, and UI themes - Favorite scripts and database objects for quick access - Configurable security settings for organizations Connects to popular databases via JDBC, including MySQL, PostgreSQL, SQL Server, Oracle, Snowflake, SQLite, Cassandra, and BigQuery. Runs on Windows, macOS, and Linux. 7 million downloads, Pro users in 150 countries. 593 Ratings Visit Website Google Cloud Platform Google Cloud is a cloud-based service that allows you to create anything from simple websites to complex applications for businesses of all sizes. New customers get $300 in free credits to run, test, and deploy workloads. All customers can use 25+ products for free, up to monthly usage limits. Use Google's core infrastructure, data analytics & machine learning. Secure and fully featured for all enterprises. Tap into big data to find answers faster and build better products. Grow from prototype to production to planet-scale, without having to think about capacity, reliability or performance. From virtual machines with proven price/performance advantages to a fully managed app development platform. Scalable, resilient, high performance object storage and databases for your applications. State-of-the-art software-defined networking products on Google’s private fiber network. Fully managed data warehousing, batch and stream processing, data exploration, Hadoop/Spark, and messaging. 61,066 Ratings Visit Website Google Cloud BigQuery BigQuery is a serverless, multicloud data warehouse that simplifies the process of working with all types of data so you can focus on getting valuable business insights quickly. At the core of Google’s data cloud, BigQuery allows you to simplify data integration, cost effectively and securely scale analytics, share rich data experiences with built-in business intelligence, and train and deploy ML models with a simple SQL interface, helping to make your organization’s operations more data-driven. Gemini in BigQuery offers AI-driven tools for assistance and collaboration, such as code suggestions, visual data preparation, and smart recommendations designed to boost efficiency and reduce costs. BigQuery delivers an integrated platform featuring SQL, a notebook, and a natural language-based canvas interface, catering to data professionals with varying coding expertise. This unified workspace streamlines the entire analytics process. 2,027 Ratings Visit Website Google Cloud Run Cloud Run is a fully-managed compute platform that lets you run your code in a container directly on top of Google's scalable infrastructure. 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About MongoDB is a general purpose, document-based, distributed database built for modern application developers and for the cloud era. No database is more productive to use. Ship and iterate 3–5x faster with our flexible document data model and a unified query interface for any use case. Whether it’s your first customer or 20 million users around the world, meet your performance SLAs in any environment. Easily ensure high availability, protect data integrity, and meet the security and compliance standards for your mission-critical workloads. An integrated suite of cloud database services that allow you to address a wide variety of use cases, from transactional to analytical, from search to data visualizations. Launch secure mobile apps with native, edge-to-cloud sync and automatic conflict resolution. Run MongoDB anywhere, from your laptop to your data center.	About Redis Labs: home of Redis. Redis Enterprise is the best version of Redis. Go beyond cache; try Redis Enterprise free in the cloud using NoSQL & data caching with the world’s fastest in-memory database. Run Redis at scale, enterprise grade resiliency, massive scalability, ease of management, and operational simplicity. DevOps love Redis in the Cloud. Developers can access enhanced data structures, a variety of modules, and rapid innovation with faster time to market. CIOs love the confidence of working with 99.999% uptime best in class security and expert support from the creators of Redis. Implement relational databases, active-active, geo-distribution, built in conflict distribution for simple and complex data types, & reads/writes in multiple geo regions to the same data set. Redis Enterprise offers flexible deployment options, cloud on-prem, & hybrid. Redis Labs: home of Redis. Redis JSON, Redis Java, Python Redis, Redis on Kubernetes & Redis gui best practices.
Platforms Supported Windows Supported Mac Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Supported Linux Not Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Application developers seeking a solution to create, build, deploy and run their cloud native apps	Audience Companies of all sizes
Support Phone Support Not Supported 24/7 Live Support Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Supported Online Supported
API Offers API Not Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Free Version Supported Free Trial Supported	Pricing Free Free Version Supported Free Trial Supported
Reviews/Ratings Overall 4.8 / 5 ease 4.7 / 5 features 4.7 / 5 design 4.7 / 5 support 4.9 / 5 Read all reviews	Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews
Pros & Cons from Real Users Pros 1. The best feature of MongoDB is ease of use and easy to learn syntax. 2. It is scalable and perfect database for small and large application as well. 3. It can be easily connected with various tools through APIs. Not only that, but it provides of the best support among all databases because of the large community. 4. It has good support for many programming languages and framework integration. - MongoDB has reading and writing speed faster than any typical SQL Database. - The user interface is clean and simple to use, also, the installing and set up of the application is pretty straightforward. - It is a highly scalable database, perfect for big projects and applications. - It supports easy and quick integration with many third-party applications. - The syntax used in the application is easy to learn and does not take up a lot of time in the process. - MongoDB is a document based database which is compatible with both large and small scale application. - Operations like CRUD operation are fast and reliable, easy to use. - The learning curve for the application is quite low, any beginner can get used to the application in few days. - The community size of the application is quite large, which helps a lot when stuck with a problem with the application. - MongoDB reads and writes data in real-time quite fast. - Connection can be made with any tool through the use of APIs. - It supports all the major programming languages and frameworks. - It is flexible to use and can be scalable. - The UI of the application is simple and intuitive. The best part of using MongoDB as a database for any application is the reliability and ease of use. The application's user interface is crafted for simplicity and functionality. It has NoSQL architecture, which makes it preferable to migrate any project to this platform. Along with ease of usage, it is also a good platform for scalable applications. Cons 1. Usually, it takes up a lot more disk space than any other alternatives. 2. There are some security concerns which should be resolved for more trust building of the users. - Using more than few relational data leads to the application becoming trick and complex to handle. - It is a NoSQL, easy to use database, no cons in my usage. - It is not a suitable database when it comes to writing complex queries. - Memory consumption is quite high. There is some complexity initially in the set-up, but the community is quite helpful in resolving those issues.	Pros & Cons from Real Users Pros Very fast operations. Reliable and scalable. Simple to setup and use. Supports transactions. Can store large size key value pairs. Cons Single threaded. Lack of decent GUI client makes it less accessible.
Training Documentation Supported Webinars Supported Live Online Supported In Person Supported	Training Documentation Supported Webinars Supported Live Online Supported In Person Supported
Company Information MongoDB Founded: 2007 United States www.mongodb.com	Company Information Redis Labs Founded: 2011 United States redislabs.com
Alternatives Couchbase	Alternatives Couchbase
RaimaDB Raima	Dragonfly DragonflyDB
Google Cloud Firestore Google	ScaleGrid
MongoDB Atlas MongoDB	AsparaDB Alibaba
Azure Cosmos DB Microsoft View All	Azure Cache for Redis Microsoft View All
Categories Big Data Supported Data Management Supported Database Supported Database Management Systems (DBMS) Supported Distributed Databases Supported Document Databases Supported NoSQL Database Supported Serverless Supported	Categories Caching Supported Database Supported Database as a Service (DBaaS) Supported Distributed Databases Supported Document Databases Supported Graph Databases Supported In-Memory Databases Supported Infrastructure-as-a-Service (IaaS) Supported Key-Value Databases Supported MQTT Brokers Supported NoSQL Database Supported SQL Databases Supported Time Series Databases Supported
Database Features Backup and Recovery Supported Creation / Development Supported Data Migration Supported Data Replication Supported Data Search Supported Data Security Supported Database Conversion Supported Mobile Access Supported Monitoring Supported NOSQL Supported Performance Analysis Supported Queries Supported Relational Interface Supported Virtualization Supported NoSQL Database Features Auto-sharding Supported Automatic Database Replication Supported Data Model Flexibility Supported Deployment Flexibility Supported Dynamic Schemas Supported Integrated Caching Supported Multi-Model Supported Performance Management Supported Security Management Supported Show More Features Big Data Features Collaboration Not Supported Data Blends Not Supported Data Cleansing Not Supported Data Mining Not Supported Data Visualization Supported Data Warehousing Supported High Volume Processing Supported No-Code Sandbox Not Supported Predictive Analytics Not Supported Templates Not Supported Data Management Features Customer Data Not Supported Data Analysis Supported Data Capture Not Supported Data Integration Supported Data Migration Supported Data Quality Control Supported Data Security Supported Information Governance Not Supported Master Data Management Not Supported Match & Merge Not Supported	Database Features Backup and Recovery Not Supported Creation / Development Not Supported Data Migration Supported Data Replication Supported Data Search Not Supported Data Security Supported Database Conversion Supported Mobile Access Not Supported Monitoring Not Supported NOSQL Not Supported Performance Analysis Supported Queries Supported Relational Interface Not Supported Virtualization Supported NoSQL Database Features Auto-sharding Supported Automatic Database Replication Supported Data Model Flexibility Supported Deployment Flexibility Supported Dynamic Schemas Supported Integrated Caching Supported Multi-Model Supported Performance Management Supported Security Management Supported
Integrations Airtool Supported Astro by Astronomer Supported Attlaz Supported Blocktree Supported Centreon Supported Chronicle SOAR Supported Data Virtuality Supported DbSchema Supported Delinea Database Access Controller Supported FF4J Supported Flue Supported IBM StreamSets Supported JHipster Supported Netdata Supported NeuBird Supported New Relic Supported Tyk Supported Vert.x Supported Zeabur Supported thumbor Supported Show More Integrations View All 653 Integrations	Integrations Airtool Supported Astro by Astronomer Supported Attlaz Supported Blocktree Supported Centreon Supported Chronicle SOAR Supported Data Virtuality Supported DbSchema Supported Delinea Database Access Controller Supported FF4J Supported Flue Supported IBM StreamSets Supported JHipster Supported Netdata Supported NeuBird Supported New Relic Supported Tyk Supported Vert.x Supported Zeabur Supported thumbor Supported Show More Integrations View All 258 Integrations
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