Solr vs Torbit vs rasa NLU
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Detailed Comparison
Torbit is a cloud-based website accelerator service that makes websites faster. Torbit speeds up your site by automating these performance optimizations that are otherwise tedious for you to do by hand. | Solr is the popular, blazing fast open source enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, near real-time indexing, dynamic clustering, database integration, rich document (e.g., Word, PDF) handling, and geospatial search. Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. Solr powers the search and navigation features of many of the world's largest internet sites. | rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries. |
The metrics you care about- With performance data, itʼs important to look beyond averages since outliers are inevitable. Insight allows you to look at other key metrics such as your median and key percentiles (90th, 95th & 99th).;Real visitor data- See a histogram showing the breakdown of your site speed and get a better sense of the typical experience for your visitors. With 100% sampling, youʼll get valuable performance data for every visitor on every page.;Real time feedback- Did that latest code deployment make your website faster or slower? Is your server having capacity issues? By tracking your performance in real time, you can see how your speed changes and what your visitors are experiencing right now. With 1-second resolution, you have instant transparency into how your site is performing at any given moment.;Spot performance issues right away- With our live map view, see the loading times your visitors are experiencing right now and spot any performance issues that may be affecting a particular region. | Advanced full-text search capabilities;
Optimized for high volume web traffic;
Standards-based open interfaces - XML, JSON and HTTP;
Comprehensive HTML administration interfaces;
Server statistics exposed over JMX for monitoring;
Linearly scalable, auto index replication, auto-failover and recovery;
Near real-time indexing;
Flexible and adaptable with XML configuration;
Extensible plugin architecture | Open source; NLP; Machine learning |
Statistics | ||
Stacks 5 | Stacks 805 | Stacks 120 |
Followers 15 | Followers 644 | Followers 282 |
Votes 0 | Votes 126 | Votes 25 |
Pros & Cons | ||
No community feedback yet | Pros
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Integrations | ||
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What are some alternatives to Torbit, Solr, rasa NLU?
Algolia
Our mission is to make you a search expert. Push data to our API to make it searchable in real time. Build your dream front end with one of our web or mobile UI libraries. Tune relevance and get analytics right from your dashboard.
SpaCy
It is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. It comes with pre-trained statistical models and word vectors, and currently supports tokenization for 49+ languages.
Dejavu
dejaVu fits the unmet need of being a hackable data browser for Elasticsearch. Existing browsers were either built with a legacy UI and had a lacking user experience or used server side rendering (I am looking at you, Kibana).
Speechly
It can be used to complement any regular touch user interface with a real time voice user interface. It offers real time feedback for faster and more intuitive experience that enables end user to recover from possible errors quickly and with no interruptions.
Elassandra
Elassandra is a fork of Elasticsearch modified to run on top of Apache Cassandra in a scalable and resilient peer-to-peer architecture. Elasticsearch code is embedded in Cassanda nodes providing advanced search features on Cassandra tables and Cassandra serve as an Elasticsearch data and configuration store.
Tantivy
It is a full-text search engine library inspired by Apache Lucene and written in Rust. It is not an off-the-shelf search engine server, but rather a crate that can be used to build such a search engine.
MonkeyLearn
Turn emails, tweets, surveys or any text into actionable data. Automate business workflows and saveExtract and classify information from text. Integrate with your App within minutes. Get started for free.
Jina
It is geared towards building search systems for any kind of data, including text, images, audio, video and many more. With the modular design & multi-layer abstraction, you can leverage the efficient patterns to build the system by parts, or chaining them into a Flow for an end-to-end experience.
Sentence Transformers
It provides an easy method to compute dense vector representations for sentences, paragraphs, and images. The models are based on transformer networks like BERT / RoBERTa / XLM-RoBERTa etc. and achieve state-of-the-art performance in various tasks.
FastText
It is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard, generic hardware. Models can later be reduced in size to even fit on mobile devices.
