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Basedash VS Apache Solr

Compare Basedash VS Apache Solr and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Basedash logo Basedash

Connect your database. Get an admin panel. Basedash is an AI-generated interface to visualize, edit, and explore your data.

Apache Solr logo Apache Solr

Solr is an open source enterprise search server based on Lucene search library, with XML/HTTP and...
  • Basedash Landing page
    Landing page //
    2023-11-29
  • Apache Solr Landing page
    Landing page //
    2023-04-28

Basedash videos

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Build an admin panel in 3 minutes with Basedash

Apache Solr videos

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Solr Index - Learn about Inverted Indexes and Apache Solr Indexing

More videos:

  • Review - Solr Web Crawl - Crawl Websites and Search in Apache Solr

Category Popularity

0-100% (relative to Basedash and Apache Solr)

Basedash

Apache Solr

Productivity
100 100%
Productivity
0% 0
Custom Search Engine
0 0%
Custom Search Engine
100% 100
No Code
100 100%
No Code
0% 0
Custom Search
0 0%
Custom Search
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Basedash and Apache Solr

Basedash Reviews

We have no reviews of Basedash yet.
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Apache Solr Reviews

Top 10 Site Search Software Tools & Plugins for 2022
Apache Solr is optimized to handle high-volume traffic and is easy to scale up or down depending on your changing needs. The near real-time indexing capabilities ensure that your content remains fresh and search results are always relevant and updated. For more advanced customization, Apache Solr boasts extensible plug-in architecture so you can easily plug in index and...
Source: influencermarketinghub.com
5 Open-Source Search Engines For your Website
Apache Solr is the popular, blazing-fast, open-source enterprise search platform built on Apache Lucene. Solr is a standalone search server with a REST-like API. You can put documents in it (called "indexing") via JSON, XML, CSV, or binary over HTTP. You query it via HTTP GET and receive JSON, XML, CSV, or binary results.
Source: vishnuch.tech
Elasticsearch vs. Solr vs. Sphinx: Best Open Source Search Platform Comparison
Solr is not as quick as Elasticsearch and works best for static data (that does not require frequent changing). The reason is due to caches. In Solr, the caches are global, which means that, when even the slightest change happens in the cache, all indexing demands a refresh. This is usually a time-consuming process. In Elastic, on the other hand, the refreshing is made by...
Source: greenice.net
Algolia Review – A Hosted Search API Reviewed
If you’re not 100% satisfied with Algolia, there are always alternative methods to accomplish similar results, such as Solr (open-source & self-hosted) or ElasticSearch (open-source or hosted). Both of these are built on Apache Lucene, and their search syntax is very similar. Amazon Elasticsearch Service provides a fully managed Elasticsearch service which makes it easy to...
Source: getstream.io

Social recommendations and mentions

Based on our record, Apache Solr seems to be a lot more popular than Basedash. While we know about 17 links to Apache Solr, we've tracked only 1 mention of Basedash. 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.

Basedash mentions (1)

  • No-code - Create a backend from a REST API
    I would recommend you to check Basedash It might be helpful in your case. Source: about 1 year ago

Apache Solr mentions (17)

  • Swirl: An open-source search engine with LLMs and ChatGPT to provide all the answers you need 🌌
    Using the Galaxy UI, knowledge workers can systematically review the best results from all configured services including Apache Solr, ChatGPT, Elastic, OpenSearch, PostgreSQL, Google BigQuery, plus generic HTTP/GET/POST with configurations for premium services like Google's Programmable Search Engine, Miro and Northern Light Research. - Source: dev.to / 10 months ago
  • Looking for software
    Apache Solr can be used to index and search text-based documents. It supports a wide range of file formats including PDFs, Microsoft Office documents, and plain text files. https://solr.apache.org/. Source: about 1 year ago
  • 'google-like' search engine for files on my NAS
    If so, then https://solr.apache.org/ can be a solution, though there's a bit of setup involved. Oh yea, you get to write your own "search interface" too which would end up calling solr's api to find stuff. Source: over 1 year ago
  • Search engine.
    Developers will use their SQL database when searching for specific things like client names, product names, or address search. Now when you want to level up from there and search all tables you better off using a separated server with a specific program like https://solr.apache.org/. Source: almost 2 years ago
  • Search text from PDF files stored in an S3 bucket
    We’re using a self-managed OpenSearch node here, but you can use Lucene, SOLR, ElasticSearch or Atlas Search. Source: almost 2 years ago
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What are some alternatives?

When comparing Basedash and Apache Solr, you can also consider the following products

Airtable - Airtable works like a spreadsheet but gives you the power of a database to organize anything. Sign up for free.

ElasticSearch - Elasticsearch is an open source, distributed, RESTful search engine.

Retool - Build custom internal tools in minutes.

Algolia - Algolia's Search API makes it easy to deliver a great search experience in your apps & websites. Algolia Search provides hosted full-text, numerical, faceted and geolocalized search.

Forest App - Forest is an app that helps you stay focused on the important things in life.

Typesense - Typo tolerant, delightfully simple, open source search 🔍

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