Algolia vs KokoQuest
Overview
Share your Stack
Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.
CLI (Node.js)
Manual
Detailed Comparison
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. | KokoQuest helps users discover and build lists of real companies that match highly specific business criteria. It supports natural-language searches for manufacturers, suppliers, service providers, partners, or customers, and returns ranked company lists with relevance scoring. KokoQuest covers the full workflow from company discovery to contact enrichment and email drafting, allowing users to go from search intent to outreach-ready leads in one place. Through its Gmail integration, the AI can translate a user’s intent into a ranked list of relevant companies, automatically enrich each with contact details, and draft a personalized email ready to send directly from Gmail. Unlike static lead databases, KokoQuest is designed for niche and hard-to-define markets where coverage is inconsistent or incomplete. It is useful for finding regional providers, contract manufacturers, private-label partners, and specialized B2B services that are often missing from traditional sales tools. |
Database search;Multi-attributes;Search as you type;Analytics dashboard; Ranking; Mobile;
Search in any language;Understand users mistakes;Smart Highlighting;Realtime indexing;Protect your indexes from misuse;Discover realtime faceting;Search objects by location | artificial intelligence, lead generation, b2b outbound marketing |
Statistics | |
Stacks 1.4K | Stacks 0 |
Followers 1.1K | Followers 1 |
Votes 699 | Votes 1 |
Pros & Cons | |
Pros
Cons
| No community feedback yet |
Integrations | |
| No integrations available | |
What are some alternatives to Algolia, KokoQuest?
Elasticsearch
Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
Solr
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.
Typesense
It is an open source, typo tolerant search engine that delivers fast and relevant results out-of-the-box. has been built from scratch to offer a delightful, out-of-the-box search experience. From instant search to autosuggest, to faceted search, it has got you covered.
Clearbit
Clearbit builds business intelligence APIs. Retrieve social data from emails and look up company information from domains.
Amazon CloudSearch
Amazon CloudSearch enables you to search large collections of data such as web pages, document files, forum posts, or product information. With a few clicks in the AWS Management Console, you can create a search domain, upload the data you want to make searchable to Amazon CloudSearch, and the search service automatically provisions the required technology resources and deploys a highly tuned search index.
Amazon Elasticsearch Service
Amazon Elasticsearch Service is a fully managed service that makes it easy for you to deploy, secure, and operate Elasticsearch at scale with zero down time.
Manticore Search
It is a full-text search engine written in C++ and a fork of Sphinx Search. It's designed to be simple to use, light and fast, while allowing advanced full-text searching. Connectivity is provided via a MySQL compatible protocol or HTTP, making it easy to integrate.
Azure Search
Azure Search makes it easy to add powerful and sophisticated search capabilities to your website or application. Quickly and easily tune search results and construct rich, fine-tuned ranking models to tie search results to business goals. Reliable throughput and storage provide fast search indexing and querying to support time-sensitive search scenarios.
Swiftype
Swiftype is the easiest way to add great search to your website or mobile application.
MeiliSearch
It is a powerful, fast, open-source, easy to use, and deploy search engine. The search and indexation are fully customizable and handles features like typo-tolerance, filters, and synonyms.
