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4.7 star rating
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Site Search 360
All
8
Experiences
Pros
7
Cons
1
Top
Pro
Quick setup
It takes less than 5 minutes to get this working. After that it is just tuning to make it perfect.
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Con
Advanced Options require skills
SS360 is very flexible and allows to tune its crawler. That, however, requires knowledge about XPath.
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Pro
Feature rich
It can index PDF or .doc documents, supports clustering in content groups, allows definition of data points.
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Pro
Very good support!
I never experienced such a friendly and helpful support team! Thumbs up!
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Pro
Helpful analytics
Analytics can be viewed and exported from the control panel.
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Pro
Mobile support
The search also works flawlessly on mobile.
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Pro
Fast
The performance is great, loading results happens in milliseconds.
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Pro
API support
Someone can add content and receive search results via a HTTP REST API which makes this product very adaptable.
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Experiences
Free
8
0
Ambar
All
3
Experiences
Pros
3
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Pro
Simple Interaction
User-friendly web interface with realtime statistics, intuitive administrative tools and REST API. Integrate with any system without reading endless manuals.
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Pro
Instant Search
Language-analyzed full-text search including fuzzy queries, phrases and metadata search. Done in milliseconds, no matter how many documents indexed or how complexed query is.
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Pro
Reliable Engine
Multi-source document collection and deduplication. Smart document content retrieval and indexing for any file type. Horizontally scalable to petabytes of data and billions of documents.
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7
0
Sajari
All
3
Experiences
Pros
3
Top
Pro
Great customer support
I regularly get to chat with the Sajari team when I have a question - they're very technically minded and I always leave happy!
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Pro
The best page indexing
Their indexing platform with their crawler can index all of our new and updated pages automatically, without waiting for recrawls
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Pro
Advanced customization options
We were able to build a custom search interface with their SDKs. This was tailored to our website, and goes well beyond what we were originally expecting
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$79
6
0
Searchify (Hosted IndexTank)
All
8
Experiences
Pros
7
Cons
1
Top
Con
No free tier
Searchify has no free tier. It starts at $59/month for 50000 documents or $25/month if using the Heroku addon.
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Pro
"Did you mean?" suggestions
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Pro
Field weights
Option to give one field, such as "title", a higher weight than another field for relevance ranking.
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Pro
True real-time updates
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Pro
Autocomplete / suggest
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Pro
Geolocation search
Sorting and filtering by distance
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Pro
Works without provided libraries
The API consists of REST calls that can be made through HTTP which enables Searchify to be used even without one of the provided libraries.
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Pro
Multiple libraries
Searchify has libraries in Python, Ruby, Java, PHP, Node.js and more.
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Experiences
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8
1
Swiftype
All
8
Experiences
Pros
7
Cons
1
Top
Con
Commercial
Price starts at $300/month.
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Pro
Easy & fast deployment
To set up, paste a Javascript snippet, the crawler will create a search engine in minutes.
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Pro
Real-Time Analytics
Built-in search analytics give you live insight into what your users are looking for.
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Pro
Custom result ranking
Drag-and-drop default results to re-order them. Changes are instantly reflected on website.
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Pro
Android & iOS support
Swiftype offers full integration with both Android and iOS SDK's
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Pro
Third Party Compatibility
Swiftype integrates with all major third party platforms, offering a Shopify App, Magento Extension, and WordPress Plugin, with more to come. Swiftype also provides tutorials for adding Swiftype to Tumblr, Jimdo, Heroku, Weebly, Tumblr, CloudFlare, WebStarts and Desk.com. They also have questions dealing with fixes for WooCommerce, how to add Swiftype to any CMS (such as Drupal or Jekyll) and searching across content types (like WordPress using GoDaddy Shopping Cart)
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Pro
WordPress plugin
Swiftype offers a WordPress plugin for easy integration.
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Pro
Multiple client libraries
Swiftype has client libraries for Python, Ruby, node.JS, Java, PHP, a search and a separate autocomplete library for jQuery, an iOS SDK, and an Android SDK.
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Experiences
$300 / mo
17
4
Algolia
All
10
Experiences
Pros
9
Cons
1
Top
Con
Commercial
There is a Free tier limited to 10k records that can only do 100k operations.
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Pro
Very fast and reliable
API replies in few milliseconds and they have datacenters all around the world.
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Pro
As a hosted service it reduces required maintenance work
Algolia provides worldwide hosting, meaning you can scale up search worldwide at the click of a button.
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Pro
Optimized UX for autocomplete and find-as-you-type results
Their InstantSearch.js library and accompanying native mobile UX tools make it easy to build beautiful search experiences.
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Pro
Free Hacker Plan: 10K records and 100K monthly operations
In addition to their 14-day free trial, Algolia supports their Community with a free plan as well as discounts for non-profits, students and the open source community.
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Pro
Search-as-you-type is built-in
Designed to natively search for prefixes (enables auto-complete menu search OOTB).
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Pro
Very easy to configure
The configuration is based on tie breaks which makes reasoning about the search easier.
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Pro
100% customizable
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Pro
Language-agnostic & typo tolerance
Algolia's engine has been built in such a way that you can index and search any language, or even several languages at the same time. The engine is also typo tolerant, and will allow for up to two typos in each words of the search query. This typo tolerance feature is also language agnostic, as it relies on optimized data structures and "fuzzy" tree traversals (implementing a Damarau-Levenshtein distance algorithm) instead of using dictionaries.
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Pro
Unique ranking formula combining full-text and business relevance
Their Tie-Breaking Algorithm gives you powerful relevance from day one that you can customize as much as you want by integrating the business metrics that matter most.
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Experiences
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43
11
Elastic Cloud
All
18
Experiences
Pros
15
Cons
3
Top
Con
Support not satisfactory
Although this is provided by the creators of elastic search, the support is not as effective. It seems they only want you to buy the Gold / Platinum package for support. Even though you clearly give proof to the support personnel that there is something wrong with the provisioning of the cluster do not be surprised if you get a mail back saying "Everything looks fine...blah blah ...consider taking gold/platinum support...blah blah."
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Pro
Scalable
Rather than pricing by number of documents or API calls, they price by instance size. So if you have a lot of documents (>100k) that are very small (50MB), or a large number of shards which are small, you won't be arbitrarily forced into a higher pricing tier. Same deal with number of requests - if you need more memory on your instance, then upgrade. If you have a lot of very fast requests, you can stay on a lower tier.
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Con
Constant sales pitch for their platinum support, even during outage
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Pro
All Elasticsearch features are supported
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Con
Expensive
Typically 0.5-3x the cost of other providers.
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Pro
New versions are available same day as released
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Pro
Extremely stable
This is the official version of hosted ElasticSearch and it's backed by the ElasticSearch developers. This makes it probably the best in terms of stability as far as services that use ElasticSearch as a backend go.
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Pro
Comes with Shield (security), Watcher (alerting) and Marvel (monitoring)
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Pro
Allow uploading custom plugins
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Pro
Includes S3 bucket for snapshot and restore (Automatic Backup every 30 minutes)
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Pro
Free trial available
There's a 14 days-long trial available without any credit card required.
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Pro
Dedicated clusters with reserved memory and storage
Clusters aren't shared, customers get their own dedicated cluster. Memory and storage is reserved - there's no upper limit in terms of indexes or documents to be stored - and Linux containers are used (LXC) for and process and resource isolation, which means you get the memory you are paying for without having to compete for it with other customers.
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Pro
Great support
Supported by the Elasticsearch developers themselves, although they won't respond for days.
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Pro
Easy to work with
Elasticsearch gained its popularity amongst developers by being enjoyable to use. A simple feature comparison against it's competition doesn't convey the significant advantages of just how easy it is to work with. This is due to multiple design choices such as the use of JSON for the API and queries.
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Pro
Allows multiple types of documents per index
Another useful and unique feature to Elasticsearch is the ability to have multiple types of documents in a single index. You can then facet, query or filter against all document types or a single type.
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Pro
Supports cjk plugins
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Integrates with multiple third-party services
Works marvelously with Tire and Heroku.
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Pro
Includes x-pack
Xpack is plug-in for elastic search and Kibana. It provides features for securing and monitoring your elastic search instance. https://www.elastic.co/products/x-pack
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Experiences
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58
17
Amazon CloudSearch
All
8
Experiences
Pros
4
Cons
4
Top
Con
No AutoComplete/Suggest
Does not have the functionality to either autocomplete the users search query or suggest an alternative query ("Did you mean?").
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Pro
Easy to Integrate and Manage
The primary differentiator of CloudSearch is how simple it makes the lives of the developers using it. Not only does it automatically scale, developers can change search parameters, fine tune search relevance, and apply new settings at any time without having to upload the data again and can do so from a simple dashboard. CloudSearch also automatically takes care of: Hardware provisioning Data partitioning, Software patches.
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Con
No 'More like this'
CloudSearch doesn't support the 'More like this' or 'Find similar' features.
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Pro
Scalability
CloudSearch dynamically scales as the amount of searchable data increases or as the query rate changes. The search system utilizes well-understood and automated sharding and replication to scale. CloudSearch will automatically add search instances and index partitions as required as well as add and remove replicas to respond to changes in search request traffic.
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Con
Propriety Tech
While ElasticSearch and Solr both have active open-source communities propelling the technology forward, CloudSearch is closed. This has multiple disadvantages such as: Constrained by what Amazon allows you to modify/customize. No transparency behind new feature development. Potentially slower development of new features. No way to modify/extend the search algorithms. No existing language specific API to call the Cloudsearch and process the response into objects.
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Pro
Search features
CloudSearch lets you add the the following features: Faceted search Free text search Boolean search expressions Customized relevance ranking Field-based sorting and searching Text processing options such as stopwords, synonyms, and stemming.
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Con
No Geolocation search
No way to sort and filter by distance.
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Pro
Results Ranking
CloudSearch does out-of-the-box ranking of search results with simple controls to let developers tweak the ranking. You can add stopwords, perform stemming, and add synonyms.
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Experiences
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15
11
Azure Search
All
4
Experiences
Pros
3
Cons
1
Top
Pro
Easy to scale
Azure Search can easily be scaled up or down through the admin panel. Users can choose to allocate or de-allocate resources how they see fit.
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Con
Does not integrate with many environments
Azure Search supports only .NET, NodeJS and iOS out of the box at the moment.
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Pro
Guaranteed search performance
Azure Search provides dedicated capacity guarantees which ensure that search performance will be steady for your application.
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Pro
Free tier available
There's a free tier available with up to 10000 documents and 3 indices.
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Built By the Slant team
Find the best product instantly.
4.7 star rating
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