Apache Ignite vs. MySQL Comparison


Apache Ignite	MySQL Oracle 4.8 out of 5 stars
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Apache Ignite	MySQL
		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. 4.9 out of 5 stars 16 Ratings Visit Website for Dragonfly 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. 4.4 out of 5 stars 418 Ratings Visit Website for Couchbase 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. 4.8 out of 5 stars 12 Ratings Visit Website for RaimaDB Google Compute Engine Compute Engine is Google's infrastructure as a service (IaaS) platform for organizations to create and run cloud-based virtual machines. Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications. Integrate Compute with other Google Cloud services such as AI/ML and data analytics. Make reservations to help ensure your applications have the capacity they need as they scale. Save money just for running Compute with sustained-use discounts, and achieve greater savings when you use committed-use discounts. 4.4 out of 5 stars 1,169 Ratings Visit Website for Google Compute Engine 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. 4.8 out of 5 stars 593 Ratings Visit Website for DbVisualizer 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. 4.5 out of 5 stars 2,037 Ratings Visit Website for Google Cloud BigQuery 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. 4.5 out of 5 stars 61,093 Ratings Visit Website for Google Cloud Platform Gemini platform Gemini platform is an enterprise AI development and machine learning platform from Google Cloud that enables organizations to build, customize, deploy, and manage AI agents and intelligent applications. Formerly known as Vertex AI, the platform provides access to more than 200 foundation models from Google, third-party providers, and open-source communities. Its Agent Studio and Agent Development Kit allow developers to create autonomous agents, design multistep workflows, and integrate artificial intelligence with enterprise data and external tools. The platform also supports custom model training, fine-tuning, machine learning pipelines, model evaluation, and scalable inference infrastructure. Enterprise capabilities include agent identity management, centralized governance, security policies, persistent memory, and monitoring tools for evaluating agent performance. Gemini platform integrates with BigQuery, Google Antigravity, Google Cloud infrastructure, and developer frameworks to support generative AI applications, predictive analytics, and automated business workflows. 4.3 out of 5 stars 1,178 Ratings Visit Website for Gemini platform 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. 4.5 out of 5 stars 554 Ratings Visit Website for Google Cloud SQL 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. 4.9 out of 5 stars 68 Ratings Visit Website for TIMi
Apache Ignite: About Use Ignite as a traditional SQL database by leveraging JDBC drivers, ODBC drivers, or the native SQL APIs that are available for Java, C#, C++, Python, and other programming languages. Seamlessly join, group, aggregate, and order your distributed in-memory and on-disk data. Accelerate your existing applications by 100x using Ignite as an in-memory cache or in-memory data grid that is deployed over one or more external databases. Think of a cache that you can query with SQL, transact, and compute on. Build modern applications that support transactional and analytical workloads by using Ignite as a database that scales beyond the available memory capacity. Ignite allocates memory for your hot data and goes to disk whenever applications query cold records. Execute kilobyte-size custom code over petabytes of data. Turn your Ignite database into a distributed supercomputer for low-latency calculations, complex analytics, and machine learning.	MySQL: About MySQL is the world's most popular open source database. With its proven performance, reliability, and ease-of-use, MySQL has become the leading database choice for web-based applications, used by high profile web properties including Facebook, Twitter, YouTube, and all five of the top five websites*. Additionally, it is an extremely popular choice as embedded database, distributed by thousands of ISVs and OEMs.
Apache Ignite: Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	MySQL: Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Apache Ignite: Audience Platform for companies in need of a distributed database for high-performance computing	MySQL: Audience Any business and organization looking for a powerful Relational Database solution
Apache Ignite: Support Phone Support Not Supported 24/7 Live Support Not Supported Online Not Supported	MySQL: Support Phone Support Supported 24/7 Live Support Supported Online Supported
Apache Ignite: API Offers API Not Supported	MySQL: API Offers API Not Supported
Apache Ignite: Screenshots and Videos View more images or videos	MySQL: Screenshots and Videos View more images or videos
Apache Ignite: Pricing No information available. Free Version Not Supported Free Trial Not Supported	MySQL: Pricing Free Free Version Supported Free Trial Not Supported
Apache Ignite: Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	MySQL: Reviews/Ratings Overall 4.8 / 5 ease 4.5 / 5 features 4.8 / 5 design 4.7 / 5 support 4.7 / 5 Read all reviews
	MySQL: Pros & Cons from Real Users Pros 1. It can be easily integrated with various development environments. 2. It is not heavy on the CPU. Furthermore, it is available on all the operating systems, such as- Windows, Linux and, macOS. 3. The operation time is low, and the processes happens very quickly. - The best feature about MySQL that makes it most appealing to the beginners is how easy it is to install, set up and get started with it. - It supports integration with almost all the major IDEs like VS Code and IntelliJ IDEA. - The queries used are simple and readable in layman language. - Multiple databases can be connected at once, so the user can work on multiple projects simultaneously. - MySQL performs fast in every scenario and provide effective services. - It can store relational data and managing it in future is effortless. - It provides a robust security to the databases. 1. It can be easily integrated with numerous development tools, programming languages and environments. 2. It is very efficient to use and does not take up a lot of CPU power to run. Furthermore, it can be easily used between teams working on a large project. 3. It is an open source software, hence, free to use under GNU license. According to my real life experience, Always feel MySQL is one of the best platform for data management (Create, Update, Retrieve and Delete operations for DB, tables and related things). Some key features: - Cross-platform support for different operating systems. - MySQL is easy to use. - Quick management. - Offers a customizable interface so that one cannot get stuck. - Efficient use of resources at the memory. - A high-speed transactional processing system. - Storing relational data. - Easy integration with development tools and environments. - Connection with different programming languages. Cons 1. The user has to know the SQL queries in order to use the tool. - The software crashes occasionally but luckily because of auto save feature no data gets lost. - It is the best tool for small databases, but when it comes to large databases, it is not the ideal option because of its limitations. - User Interface and layout is confusing for beginners. 1. There is a high learning curve while learning to use this initially. I faced few issues with performance but now resolved with updated version. No Cons!
Apache Ignite: Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	MySQL: Training Documentation Supported Webinars Supported Live Online Supported In Person Not Supported
Apache Ignite: Company Information Apache Ignite Founded: 1999 United States ignite.apache.org	MySQL: Company Information Oracle Founded: 1977 United States www.mysql.com
Apache Ignite: Alternatives Apache Geode Apache	MySQL: Alternatives Couchbase 4.4 out of 5 stars
Apache Ignite: Ehcache Terracotta	MySQL: Google Cloud BigQuery Google 4.5 out of 5 stars
Apache Ignite: HarperDB	MySQL: Google Cloud SQL Google 4.5 out of 5 stars
Apache Ignite: GridGain GridGain Systems	MySQL: RaimaDB Raima 4.8 out of 5 stars
Apache Ignite: Hazelcast View All	MySQL: H2 View All
Apache Ignite: Categories Caching Supported Database Supported Distributed Databases Supported In-Memory Databases Supported Key-Value Databases Supported	MySQL: Categories Embedded Database Supported Relational Database Supported SQL Databases Supported
	MySQL: Show More Features Relational Database Features ACID Compliance Supported Data Failure Recovery Supported Multi-Platform Supported Referential Integrity Supported SQL DDL Support Supported SQL DML Support Supported System Catalog Supported Unicode Support Supported
Apache Ignite: Integrations 3forge Supported Vert.x Supported sqlmap Supported Acho Not Supported Alex Solutions Not Supported Ascend Not Supported Dashbreeze Not Supported GaussDB Not Supported JackDB Not Supported Jet Profiler Not Supported JetBrains Datalore Not Supported PENTA Field Service Not Supported Redgate SQL Toolbelt Not Supported SQL Manager Not Supported SQLPro Studio Not Supported Scuba Database Vulnerability Scanner Not Supported SpellBox Not Supported Stackhero Not Supported Zoho DataPrep Not Supported ent Not Supported Show More Integrations View All 6 Integrations	MySQL: Integrations 3forge Supported Vert.x Supported sqlmap Supported Acho Supported Alex Solutions Supported Ascend Supported Dashbreeze Supported GaussDB Supported JackDB Supported Jet Profiler Supported JetBrains Datalore Supported PENTA Field Service Supported Redgate SQL Toolbelt Supported SQL Manager Supported SQLPro Studio Supported Scuba Database Vulnerability Scanner Supported SpellBox Supported Stackhero Supported Zoho DataPrep Supported ent Supported Show More Integrations View All 1208 Integrations
Apache Ignite: Claim Apache Ignite and update features and information Claim Apache Ignite and update features and information	MySQL: Claim MySQL and update features and information Claim MySQL and update features and information