Multiply.cloud VS Apache Solr
Compare Multiply.cloud VS Apache Solr and see what are their differences
The PAQATO After-Sales Experience Platform is the growth driver that makes online stores successful for tomorrow.
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Multiply.cloud
Alpha Repricer
VReprice
Amazon Repricer
RepricerExpress
aifora
BQool Repricing Central
Neeyamo
Apache Solr
ElasticSearch
Algolia
Typesense
Swiftype
Meilisearch
Site Search 360
Swiftype Site Search
Multiply is the ultimate repricing tool for ambitious retailers. Sophisticated algorithms constantly monitor your competitors and optimise your prices across all your channels up to 30x per hour. You will find the ‘Goldilocks-perfect’ pricing sweet spot; just low enough to win the Buy Box, but higher than you imagined possible (thanks to hidden factors like vendor reputation and competitor shipping).
The platform integrates with 50+ channels - including popular marketplaces like Amazon, comparison sites like Google Shopping, and your own storefront. Channel-specific pricing strategies adapt to each channel’s unique competitive environment for maximum revenues.
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Multiply.cloud's answer
In 2014, we built a custom repricing product for one of our clients at Stratalis, our first startup. By 2017, it had grown to surpass the capabilities of most solutions on the market. That’s when we realised its full potential and decided to found Multiply. Today, our omnichannel repricing platform helps hundreds of growing eCommerce vendors to price competitively across all their channels and maximize their sales – without hurting their margins.
Based on our record, Apache Solr seems to be more popular. It has been mentiond 17 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.
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
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
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
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
We’re using a self-managed OpenSearch node here, but you can use Lucene, SOLR, ElasticSearch or Atlas Search. Source: almost 2 years ago
Alpha Repricer - Alpha Repricer is the best Amazon repricer on the market. Have full control over repricing choices.
ElasticSearch - Elasticsearch is an open source, distributed, RESTful search engine.
VReprice - VReprice is a legit repricing optimization software that automates pricing and detailed analysis to enhance profitability.
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.
Amazon Repricer - Price Optimization
Typesense - Typo tolerant, delightfully simple, open source search 🔍