Compare IBM Informix vs. Tiger Data

RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times. RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.

Teradata VantageCloud: Open, Scalable Cloud Analytics for AI VantageCloud is Teradata’s cloud-native analytics and data platform designed for performance and flexibility. It unifies data from multiple sources, supports complex analytics at scale, and makes it easier to deploy AI and machine learning models in production. With built-in support for multi-cloud and hybrid deployments, VantageCloud lets organizations manage data across AWS, Azure, Google Cloud, and on-prem environments without vendor lock-in. Its open architecture integrates with modern data tools and standard formats, giving developers and data teams freedom to innovate while keeping costs predictable.

Cloud SQL is a fully managed relational database service that supports MySQL, PostgreSQL, and SQL Server. It includes rich extensions, configuration flags, and developer ecosystems. Cloud SQL offers $300 in credits for new customers. You won't pay until you upgrade. Reduce maintenance costs by using fully managed MySQL, PostgreSQL, and SQL Server databases. The SRE team provides 24/7 support for reliable and secure services. Data encryption in transit and at rest ensures the highest level of security. Private connectivity with Virtual Private Cloud, user-controlled network access, and firewall protection add an additional layer of safety. Compliant with SSAE 16, ISO 27001, PCI DSS, and HIPAA, you can trust your data to be protected. Scale your database instances with a single API request, whether you are just testing or need a highly available database in production. Standard connection drivers and integrated migration tools let you create and connect to a database in a matter of minutes. Transform your database management with AI-driven support in Gemini, currently available in preview on Cloud SQL. It enhances development, optimizes performance, and simplifies fleet management, governance, and migration.

TeamDesk is the leading AI-enhanced Low-Code database platform for creating powerful and flexible web-based databases with AI assisted development and AI-enhanced data analysis. TechRadar named TeamDesk as the best database platform of the year. TeamDesk provides Artificial Intelligence as well as predefined solutions for rapid online database creation without coding. Business owners and citizen developers can utilize AI to build unique databases for any type of industry that precisely fit their business workflow and organize gathering, sharing and managing business information. TeamDesk online database software is fully scalable and customizable to accommodate customers’ ever evolving business needs. TeamDesk provides: AI (Artificial Intelligence) integration AI-Assisted Development AI-enhanced Data Analysis API, Web hooks, Zapier unlimited data storage unlimited number of records and tables unlimited database complexity free trial free unlimited support for a low flat rate. TeamDesk is fully scalable. From small companies to large enterprises, from specific manufactures to vertical business integration, system scalability accommodates customers' business growth and adjusts to evolving business model. Enterprise Edition supports custom domain, white labeling, SSO via SAML2, unlimited databases centralized security management.

Ditto is the only mobile database with built-in edge device connectivity and resiliency, enabling apps to synchronize without relying on a central server or constant cloud connectivity. With billions of edge devices and deskless workers driving operations and revenue, businesses are hitting the limits of what traditional cloud architectures can offer. Trusted by Chick-fil-A, Delta, Lufthansa, Japan Airlines, and more, Ditto is pioneering the edge-native revolution, transforming how businesses connect, sync, and operate at the edge. By eliminating hardware dependencies, Ditto’s software-driven networking is enabling businesses to build faster, more resilient systems that thrive at the edge – no Wi-Fi, servers, or cloud required. Through the use of CRDTs and P2P mesh replication, Ditto's technology enables you to build collaborative, resilient applications where data is always available and up-to-date for every user, and can even be synced in completely offline situations. This allows you to keep mission-critical systems online when it matters most. Ditto uses an edge-native architecture. Edge-native solutions are built specifically to thrive on mobile and edge devices, without relying solely on cloud-based services. Devices running Ditto apps can discover and communicate with each other directly, forming an ad-hoc mesh network rather than routing everything through a cloud server. The platform automatically handles the complexity of discovery and connectivity using both online and offline channels – Bluetooth, peer-to-peer Wi-Fi, local LAN, WiFi, Cellular – to find nearby devices and sync data changes in real-time.

DbVisualizer is one of the world’s most popular database clients. Developers, analysts, and DBAs use it to advance their SQL experience with modern tools to visualize and manage their databases, schemas, objects, and table data and to auto-generate, write and optimize queries. It has extended support for 30+ of the major databases and has basic-level support for all databases that can be accessed with a JDBC driver. DbVisualizer runs on all major OSes. Free and Pro versions are available.

Retool is a modern AI-native application development platform designed to help teams build internal software quickly and efficiently. It enables users to create agents, workflows, dashboards, and full-stack apps using natural language prompts and visual tools. Retool connects directly to databases, APIs, vector stores, and AI models to ensure applications work seamlessly with existing systems. The platform allows teams to transform raw data into actionable tools such as dashboards, admin panels, and monitoring systems. With drag-and-drop UI building, code-level customization, and AI-assisted generation, Retool supports multiple development styles. Built-in workflows automate complex processes while maintaining auditability and security. Retool fits naturally into standard engineering stacks with support for CI/CD and version control. Enterprise-grade permissions and hosting options ensure sensitive data stays protected. Used by thousands of companies worldwide, Retool helps teams ship AI-powered software faster. It bridges the gap between idea and production with speed and control.

ToucanTech, a cloud-based software solution that helps alumni grow and manage their networks, is sophisticated. ToucanTech is a cloud-based software solution that can be used by schools, universities, and businesses of all sizes. It allows organizations to manage all alumni and/or communities in one central platform. ToucanTouch integrates with social media and offers other features like mentoring, fundraising and news. It also allows you to save time by integrating with customer management relationship (CRM).

MongoDB Atlas stands out as the leading cloud database service available, offering unparalleled data distribution and seamless mobility across all major platforms, including AWS, Azure, and Google Cloud. Its built-in automation tools enhance resource management and workload optimization, making it the go-to choice for modern application deployment. As a fully managed service, it ensures best-in-class automation and adheres to established practices that support high availability, scalability, and compliance with stringent data security and privacy regulations. Furthermore, MongoDB Atlas provides robust security controls tailored for your data needs, allowing for the integration of enterprise-grade features that align with existing security protocols and compliance measures. With preconfigured elements for authentication, authorization, and encryption, you can rest assured that your data remains secure and protected at all times. Ultimately, MongoDB Atlas not only simplifies deployment and scaling in the cloud but also fortifies your data with comprehensive security features that adapt to evolving requirements.

BigQuery is a serverless, multicloud data warehouse that makes working with all types of data effortless, allowing you to focus on extracting valuable business insights quickly. As a central component of Google’s data cloud, it streamlines data integration, enables cost-effective and secure scaling of analytics, and offers built-in business intelligence for sharing detailed data insights. With a simple SQL interface, it also supports training and deploying machine learning models, helping to foster data-driven decision-making across your organization. Its robust performance ensures that businesses can handle increasing data volumes with minimal effort, scaling to meet the needs of growing enterprises. Gemini within BigQuery brings AI-powered tools that enhance collaboration and productivity, such as code recommendations, visual data preparation, and intelligent suggestions aimed at improving efficiency and lowering costs. The platform offers an all-in-one environment with SQL, a notebook, and a natural language-based canvas interface, catering to data professionals of all skill levels. This cohesive workspace simplifies the entire analytics journey, enabling teams to work faster and more efficiently.