Google Cloud Datastore
MarkLogic Server
Valentina Server
Datomic
PlanetScale
Micro Focus Content Manager
Datahike
Matisse
Anycode AI
GitHub Copilot
Fornax AI
Speechki
Xano
SeekmeAI
Tabnine
Codex by OpenAI
Anycode AI is a platform designed to revolutionize code conversion and integration. It automates the process of converting legacy codebases to modern tech stacks, boosting coding speed and enabling rapid, compliant coding and testing. Anycode AI facilitates seamless upgrades from outdated systems, modernizes applications efficiently, and integrates effortlessly with existing workflows. The platform specializes in various areas including UI, APIs, integration, upgrades, ETL, model management, workflow conversion, and security, offering a comprehensive solution for accelerating development and modernizing technology stacks.
Google Cloud Datastore Anycode AIAnycode AI's answer:
AI-Powered Conversion: Anycode AI leverages advanced artificial intelligence algorithms to automate the process of code conversion, ensuring accuracy and efficiency in translating legacy code to modern languages and frameworks.
Language Agnostic Approach: The platform can handle a wide range of programming languages, both legacy and modern, making it a versatile tool for various codebase modernization projects.
Deep Learning Integration: It uses deep learning techniques to understand complex code structures and make intelligent decisions during the conversion process, resulting in optimized and high-quality code.
Customizable Conversion Rules: Anycode AI allows users to define custom conversion rules to meet specific organizational standards and requirements, ensuring that the converted code aligns with the desired practices.
Scalability: The platform is designed to scale, making it suitable for projects of all sizes, from small applications to large-scale legacy system overhauls.
Continuous Learning and Improvement: Anycode AI continuously learns from each conversion process, improving its efficiency and accuracy over time.
Collaborative Development Environment: It provides a collaborative environment for developers to work together on code conversion projects, fostering teamwork and alignment on goals.
Seamless Integration with DevOps Pipelines: Anycode AI can be integrated into existing DevOps pipelines, automating the code conversion and deployment process for a streamlined development workflow.
Anycode AI's answer:
Cutting-Edge AI Technology: Anycode AI employs state-of-the-art AI algorithms for code conversion, providing a level of sophistication and efficiency that surpasses many competitors.
Broad Programming Language Coverage: Unlike some competitors that focus on a limited set of languages, Anycode AI supports a wide array of both legacy and modern programming languages, offering greater flexibility for diverse projects.
Intelligent Code Optimization: Through its deep learning integration, Anycode AI not only converts code but also optimizes it for performance and maintainability, a feature not always available in other tools.
Tailored Conversion Processes: Anycode AI allows for the customization of conversion rules to adhere to specific coding standards and practices, offering a personalized conversion experience.
High Scalability: The platform is built to handle projects of varying sizes with ease, from small code snippets to large enterprise systems, ensuring consistent performance across the board.
Learning and Adaptation: Anycode AI continuously improves its conversion algorithms based on past projects, ensuring that it becomes more effective and accurate over time.
Collaborative Features: The platform provides features that enhance teamwork and collaboration, making it easier for development teams to coordinate on conversion projects.
Integration with DevOps Workflows: Anycode AI can seamlessly integrate into existing DevOps pipelines, automating the conversion and deployment processes, which can be a distinct advantage over competitors that lack this capability.
Efficiency Gains: By automating the code conversion process, Anycode AI significantly reduces the time and effort required, leading to faster project completion and cost savings.
Future-Proof Technology: Opting for Anycode AI ensures that your codebase stays current with the latest technological advancements, helping to future-proof your software assets.
Based on our record, Google Cloud Datastore seems to be more popular. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
A long time ago, a fork of Django called “Django-nonrel” experimented with the idea of using Django’s ORM with a non-relational database; what was then called the App Engine Datastore, but is now known as Google Cloud Datastore (or technically, Google Cloud Firestore in Datastore Mode). Since then a more recent project called "django-gcloud-connectors" has been developed by Potato to allow seamless ORM integration... - Source: dev.to / about 1 year ago
In that case use Cloud Datastore (aka Firestore in Datastore Mode). It's a NoSQL db that was initially targeted just for GAE (you needed to have a GAE App even if empty to use it) but that requirement has been relaxed. Source: about 2 years ago
As u/SierraBravoLima said - If you don't really need containerization, you can go with Google App Engine (Standard). If you need to store data, GAE will work with cloud datastore which has a large enough free tier. Source: about 3 years ago
Datastore mode had its start in App Engine's early days (launched in 2008), where its Datastore was the original scalable NoSQL database provided for all App Engine apps. In 2013, Datastore was made available all developers outside of App Engine, and "re-launched" as Cloud Datastore. In 2014, Google acquired Firebase for its RTDB (real-time database). Both teams worked together for the next 4 years, and in 2017,... Source: over 3 years ago
Database: datastore should be very cheap, or you could just output as csv text and copy into Google Sheets (free!). Source: over 3 years ago
MarkLogic Server - MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities.
GitHub Copilot - Your AI pair programmer. With GitHub Copilot, get suggestions for whole lines or entire functions right inside your editor.
Valentina Server - Valentina Server is 3 in 1: Valentina DB Server / SQLite Server / Report Server
Fornax AI - Instant slide-by-slide actional feedback for pitch decks. Designed for early-stage startup founders to effectively communicate their idea to investors.
Datomic - The fully transactional, cloud-ready, distributed database
Speechki - The only ChatGPT-approved text-to-voice plugin 78 languages and dialects and offering a choice of over 300 ultra-realistic voices, Speechki transforms your text into high-quality audio content.
