Welcome to the Awesome Data Explorers Landscape repo! This curated list is designed to be your gateway into the world of software, data, and technology companies across various sectors and regions. Whether you're a data enthusiast, tech professional, or just curious, the best time to explore is now.
- Curated Lists: Explore a wide array of tools and companies categorized by sector and region.
- Regular Updates: Stay informed with the latest additions and updates to the landscape.
- Community Driven: Contribute your insights and help expand this valuable resource.
Category [Year] | Title [Source] | Preview |
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Artificial Intelligence (ML, DL, NLP, CV) | ||
2024 | The 2024 MAD (ML, AI & Data) Landscape |
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2022 | Base10 Trend Map: Generative AI |
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2024 | Transformer models: an introduction and catalog |
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2023 | The Generative AI Market Map v3 |
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2023 | The Generative AI Infrastructure Stack v1 |
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2022 | The Generative AI Startup Landscape |
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Data Engineering (Cloud, DevOps, MLOps) | ||
2024 | Cloud Native Landscape |
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2020 | Continuous Delivery Map |
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2018 | Microservices Ecosystem Transit Map + |
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2021 | MLOps Infrastructure & Tooling |
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2024 | Open Source Data Engineering Landscape 2024 |
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2024 | OpenStack Landscape |
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2024 | State of Data Engineering 2024 |
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Databases (SQL, NoSQL, NewSQL) | ||
2024 | PIGSTY: PostgreSQL In GreatSTYle |
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2024 | PostgreSQL Extensions Ecosystem |
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Edge Computing (IoT) | ||
2018 | Internet of Things Landscape 2018 |
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Graph Technologies | ||
2020 | Graph Technology Landscape 2020 v2 |
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Low-code & No-code Solutions | ||
2024 | G2 Grid® for No-Code Development Platforms |
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#tags
columns for sub-categories based on:- GitHub
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- YouTube
The landscape is filled with opportunities.
Embrace your curiosity for data.
Your passion is a powerful tool.
Innovate, discover, and make an impact.
Never stop exploring your interests.