Redis vs. ScaleGrid Comparison


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		Related Products Dragonfly Dragonfly is a drop-in Redis replacement that cuts costs and boosts performance. Designed to fully utilize the power of modern cloud hardware and deliver on the data demands of modern applications, Dragonfly frees developers from the limits of traditional in-memory data stores. The power of modern cloud hardware can never be realized with legacy software. Dragonfly is optimized for modern cloud computing, delivering 25x more throughput and 12x lower snapshotting latency when compared to legacy in-memory data stores like Redis, making it easy to deliver the real-time experience your customers expect. Scaling Redis workloads is expensive due to their inefficient, single-threaded model. Dragonfly is far more compute and memory efficient, resulting in up to 80% lower infrastructure costs. Dragonfly scales vertically first, only requiring clustering at an extremely high scale. This results in a far simpler operational model and a more reliable system. 16 Ratings Visit Website 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. 418 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 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 HiveMQ HiveMQ is the Industrial AI Platform helping enterprises move from connected devices to intelligent operations. Built on the MQTT standard and a distributed edge-to-cloud architecture, HiveMQ connects and governs industrial data in real time, enabling organizations to act with intelligence. With proven reliability, scalability, and interoperability, HiveMQ provides the foundation industrial companies need to operationalize AI, powering the next generation of intelligent industry. Global leaders including Audi, BMW, Eli Lilly, Liberty Global, Mercedes-Benz, and Siemens trust HiveMQ to run their most mission-critical operations. 91 Ratings Visit Website Teradata VantageCloud Teradata VantageCloud: The complete cloud analytics and data platform for AI. Teradata VantageCloud is an enterprise-grade, cloud-native data and analytics platform that unifies data management, advanced analytics, and AI/ML capabilities in a single environment. Designed for scalability and flexibility, VantageCloud supports multi-cloud and hybrid deployments, enabling organizations to manage structured and semi-structured data across AWS, Azure, Google Cloud, and on-premises systems. It offers full ANSI SQL support, integrates with open-source tools like Python and R, and provides built-in governance for secure, trusted AI. VantageCloud empowers users to run complex queries, build data pipelines, and operationalize machine learning models—all while maintaining interoperability with modern data ecosystems. 1,124 Ratings Visit Website Windocks Windocks is a leader in cloud native database DevOps, recognized by Gartner as a Cool Vendor, and as an innovator by Bloor research in Test Data Management. Novartis, DriveTime, American Family Insurance, and other enterprises rely on Windocks for on-demand database environments for development, testing, and DevOps. Windocks software is easily downloaded for evaluation on standard Linux and Windows servers, for use on-premises or cloud, and for data delivery of SQL Server, Oracle, PostgreSQL, and MySQL to Docker containers or conventional database instances. Windocks database orchestration allows for code-free end to end automated delivery. This includes masking, synthetic data, Git operations and access controls, as well as secrets management. Windocks can be installed on standard Linux or Windows servers in minutes. It can also run on any public cloud infrastructure or on-premise infrastructure. One VM can host up 50 concurrent database environments. 7 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. 61,023 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. TIMi is an ethical solution: Zero Lock-In: We gain your trust through exceptional performance and service, not artificial vendor lock-in Fair price & No hidden fees & No price hikes TIMi is a leader in these fields: Data Preparation/ETL/BPA/BPM/ESB - automate the most complex tasks without code - Connect to everything: Sharepoint, SAP, Salesforce, Facebook, GAds, etc. BigData - 1 TIMi-server is faster than 267 Spark-servers - Process any volumetry at negligible infrastructure cost. Process billions of rows in a matter of seconds on a standard 2K€ server. - manage peta-byte Data Lakes AI/ML: We invented the 1st Auto-ML tool in 2007 TIMi is a horizontal solution used in any industry: Manufacturing, Telecoms, Banks, Supermarket chains, Defense, Gov. Also available in EU-hosted sovereign cloud. 68 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. 2,023 Ratings Visit Website
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.	About ScaleGrid is a fully managed Database-as-a-Service (DBaaS) platform that helps you automate your time-consuming database administration tasks both in the cloud and on-premises. Easily provision, monitor, backup and scale your open source databases with high availability, advanced security, full superuser and SSH access, query analysis, and troubleshooting support to improve the performance of your deployments. Supported databases include: - MySQL - PostgreSQL - Redis™ - MongoDB® database - Greenplum™ (coming soon) The ScaleGrid platform supports both public and private clouds, including AWS, Azure, Google Cloud Platform (GCP), DigitalOcean, Linode, Oracle Cloud Infrastructure (OCI), VMware and OpenStack. Used by thousands of developers, startups, and enterprise customers including Atlassian, Meteor, and Accenture, ScaleGrid handles all your database operations at any scale so you can focus on your application performance.
Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook
Audience Companies of all sizes	Audience Database Administrators (DBA), Developers, DevOps Engineers
Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online
API Offers API	API Offers API
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Free Version Free Trial	Pricing $8 per month Free Version Free Trial
Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews	Reviews/Ratings Overall 5.0 / 5 ease 4.7 / 5 features 4.3 / 5 design 4.7 / 5 support 4.3 / 5 Read all reviews
Pros & Cons from Real Users Pros Very fast operations. Reliable and scalable. Simple to setup and use. Supports transactions. Can store large size key value pairs. Cons Single threaded. Lack of decent GUI client makes it less accessible.	Pros & Cons from Real Users Pros Setup is a breeze. Easily add firewall rules Easily add or remove users. Fast support and possibility to bring your own aws cloud etc when you are really scaling etc. So simple to setup and manage our databases. We've luckily not had to use the automated failover in production, but tested it rigorously before deploying. It couldn't be easier to manage and setup. The alert system is amazing as well. I am a scientist who has no formal training in computer science or databases. I needed to create a MySQL database to store a large amount of training data for a machine learning project. I found AWS to be overly complicated and overpowered for my needs. ScaleGrid offered an affordable solution with a web interface and very responsive support. I highly recommend them. Cons - it's a bit costly for minimum plan being 10$ It is costly for starters but if you are about to scale it makes sense to use it. I honestly don't have a single con for moving to ScaleGrid. It was so simple. It would be helpful to have a bit more documentation about how to manage backups, get more disk space, and use the web console. It is all probably self-evident to database gurus, but for non-experts like me, documentation would be very helpful.
Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information Redis Labs Founded: 2011 United States redislabs.com	Company Information ScaleGrid Founded: 2012 United States scalegrid.io
Alternatives Couchbase	Alternatives MongoDB Atlas MongoDB
Dragonfly DragonflyDB	SolarWinds Database Performance Analyzer SolarWinds
ScaleGrid	ClusterControl Severalnines
AsparaDB Alibaba	ScyllaDB
Azure Cache for Redis Microsoft View All	DataStax View All
Categories Caching Database Database as a Service (DBaaS) Distributed Databases Document Databases Graph Databases In-Memory Databases Infrastructure-as-a-Service (IaaS) Key-Value Databases MQTT Brokers NoSQL Database SQL Databases Time Series Databases	Categories Application Performance Monitoring (APM) Database Database as a Service (DBaaS) Database Backup Database Monitoring Database Security DevOps High Availability Cluster NoSQL Database Relational Database
Database Features Backup and Recovery Creation / Development Data Migration Data Replication Data Search Data Security Database Conversion Mobile Access Monitoring NOSQL Performance Analysis Queries Relational Interface Virtualization NoSQL Database Features Auto-sharding Automatic Database Replication Data Model Flexibility Deployment Flexibility Dynamic Schemas Integrated Caching Multi-Model Performance Management Security Management	Database Features Backup and Recovery Creation / Development Data Migration Data Replication Data Search Data Security Database Conversion Mobile Access Monitoring NOSQL Performance Analysis Queries Relational Interface Virtualization NoSQL Database Features Auto-sharding Automatic Database Replication Data Model Flexibility Deployment Flexibility Dynamic Schemas Integrated Caching Multi-Model Performance Management Security Management Show More Features Application Performance Monitoring (APM) Features Baseline Manager Diagnostic Tools Full Transaction Diagnostics Performance Control Resource Management Root-Cause Diagnosis Server Performance Trace Individual Transactions Database Backup Features Automatic Backup Backup Locations Backup Scope Settings Differential Backup Filegroup Backup Full Backup Incremental Backup Manual Backup Multiple Backups Database Monitoring Features Anomaly Detection Autodiscovery Capacity Planning Dashboard Dependency Tracking Historical Trend Analysis Multitenancy Notifications / Alerts Performance Monitoring Permissions / Access Controls Predictive Analytics Prioritization Query Analysis Resource Optimization Troubleshooting DevOps Features Approval Workflow Dashboard KPIs Policy Management Portfolio Management Prioritization Release Management Timeline Management Troubleshooting Reports Relational Database Features ACID Compliance Data Failure Recovery Multi-Platform Referential Integrity SQL DDL Support SQL DML Support System Catalog Unicode Support
Integrations DigitalOcean Amplication Antagonist Bytebase DanubeData DevKinsta Elestio Gigasheet Infonova Digital Business Platform Instaclustr Kaholo LaunchFast Lenses NiceGUI Oracle Cloud Marketplace PostgreSQL QueryPie SSIS Integration Toolkit Stackhero TapData Show More Integrations View All 248 Integrations	Integrations DigitalOcean Amplication Antagonist Bytebase DanubeData DevKinsta Elestio Gigasheet Infonova Digital Business Platform Instaclustr Kaholo LaunchFast Lenses NiceGUI Oracle Cloud Marketplace PostgreSQL QueryPie SSIS Integration Toolkit Stackhero TapData Show More Integrations View All 15 Integrations
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