Dataset Search VS Reactive Maps

Dataset Search

Making it easier to discover datasets. Made by Google.

Reactive Maps

Build awesome maps with reusable UI + data components.

Landing page //
2023-06-13

Landing page //
2022-06-29

Dataset Search

Website: datasetsearch.research.google.com

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Reactive Maps

Website: opensource.appbase.io

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Dataset Search features and specs

Wide Range of Datasets
Dataset Search provides access to a wide variety of datasets from various domains, making it a versatile tool for researchers and data enthusiasts.
Unified Search Experience
The platform aggregates datasets from different sources, offering a consolidated search experience similar to Google's traditional search engine.
Dataset Metadata
It provides rich metadata about datasets, including descriptions, creators, and terms of use, which can help users assess the relevance and quality of data before using it.
Discoverability
Google's robust search capabilities enhance discoverability, making it easier for users to find specific datasets amidst vast information.
Free Access
Dataset Search is freely accessible, allowing users from various backgrounds to explore datasets without financial barriers.

Possible disadvantages of Dataset Search

Reliance on External Sources
The platform depends on datasets being hosted externally, meaning availability and reliability can vary depending on the managing institution or individual.
Limited Control Over Content
Google does not regulate the content or quality of datasets, which might lead users to encounter incomplete, outdated, or low-quality datasets.
Metadata Inconsistencies
There can be inconsistencies in how dataset metadata is presented since it is sourced from various providers with different standards.
Search Precision
While the search engine is robust, not all queries return highly precise results, potentially making it difficult for users to find niche datasets easily.
No Direct Data Hosting
Google Dataset Search does not host datasets directly, which may require users to visit and navigate external sites to access the full dataset.

Reactive Maps features and specs

Real-Time Interactivity
Reactive Maps offers real-time interactivity, allowing users to see changes and updates on the map instantly as data changes.
Reactive Ecosystem
Part of the appbase.io ecosystem, it integrates well with other components of ReactiveSearch, providing a cohesive experience for building real-time apps.
Open Source
Being open-source, developers can contribute to its development, customize it to their needs, and benefit from community support.
Ease of Use
Designed to be developer-friendly, with minimal setup and easy integration into existing projects.
Scalability
Built on top of Elasticsearch, it can handle large datasets efficiently, making it suitable for applications requiring scalability.

Possible disadvantages of Reactive Maps

Learning Curve
Developers unfamiliar with the Reactive programming paradigm or Elasticsearch may initially find it challenging to work with Reactive Maps.
Limited Community Size
As a niche tool, the community size is smaller compared to more popular frameworks, potentially limiting resources like tutorials and support.
Dependence on External Systems
Reactive Maps require Elasticsearch or other compatible databases, which might necessitate additional setup and maintenance.
Performance Overhead
While it's designed to be efficient, the performance can depend heavily on the configuration and optimization of the underlying Elasticsearch instance.
Customization Complexity
Deep customizations may require extensive knowledge of both the system and its integration points, which can increase development time.

Dataset Search videos

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Google Dataset Search REVIEW

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Category Popularity

0-100% (relative to Dataset Search and Reactive Maps)

Reactive Maps

Tech

100 100%

Tech

0% 0

Maps

0 0%

Maps

100% 100

Developer Tools

74 74%

Developer Tools

26% 26

Design Tools

0 0%

Design Tools

100% 100

User comments

Share your experience with using Dataset Search and Reactive Maps. For example, how are they different and which one is better?

Social recommendations and mentions

Based on our record, Dataset Search seems to be more popular. It has been mentiond 52 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.

Dataset Search mentions (52)

Mastering Dataset Acquisition: A Comprehensive Guide
Google Dataset Search: Google's tool to help users find datasets stored across the web. Google Dataset Search. - Source: dev.to / about 1 year ago
Data Sheet of the Concentration of an IV drug in the blood
While looking I found out google has a separate search engine for datasets: https://datasetsearch.research.google.com/ That might be helpful if you want to keep looking. Source: over 1 year ago
Where do you get your data when you have an obscure idea for a dashboard?
For more researchy bits : https://datasetsearch.research.google.com/ Kaggle is the go-to for sure. Https://www.makeovermonday.co.uk/data/ The Makeover Mondays have gone on for so long, it has a good bank of fun data sets too by now. Source: almost 2 years ago
Looking for news datasets from the last year or so
Have you checked out Google's dataset search tool? https://datasetsearch.research.google.com/. Source: almost 2 years ago
Any graduates of PUP?
In my current work, we deal with Banking and Finance. Then try searching for datasets (Google Datasets or Kaggle) and try doing Exploratory Data Analysis -- univariate, bivariate, and multivariate. From your EDA, you can see interesting insights right away. Then from what gleamed, you decide on whether you'll do. It could be (but not limited to):. Source: almost 2 years ago