Affordable
high-performance
search API

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Lucene
72 queries/sec
Citroen 2CV 1952
Citroen 2CV 1952
115 km/h
20x
Speed
SeekStorm
1424 queries/sec
F16 Falcon
F16 Falcon
2142 km/h
Lucene
6 concurrent users
Ford F150
Ford F150
1.4 tons payload
233x
Payload
SeekStorm
1400 concurrent users
Komatsu 980E-4
Komatsu 980E-4
363 tons payload
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Compared to Open-Source solutions like Lucene, Solr, Elasticsearch * we offer up to:

20x shorter latency
20x higher QPS
200x more concurrent users

Compared to other search-as-a-service providers we offer up to:

39x more queries & docs than Algolia*
69x more queries & docs than Sajari*
per dollar spent!

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What is SeekStorm?
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Search API
Crawling API
SeekStorm is a Search as a Service.
Our search API offers web-scale, real-time, full text, instant search for your data and documents.
Your organization has millions or billions of documents, at different locations, with thousands of concurrent users who need results within milliseconds, reflecting the latest changes in realtime? Add our turn-key search solution to your application with just two lines of code. Provide the documents or data you want to index via REST search API, and search them instantly in real-time. Don't worry about scalability and performance, we do all the heavy lifting for you.
Web-scale full-text search: Index billion documents and return results for thousand concurrent users within milliseconds
Real-time search & indexing: At the same millisecond a document is indexed it is instantly searchable in real-time
Approximate (Fuzzy) search
Query rewriting: Spelling correction, Query completion, Instant search
Boolean search: AND, NOT, PHRASE, Implicit PHRASE
Advanced operators: field filters, e.g. intitle, intext, inurl, site, allintitle, allinurl, allintext
KWIC: Keyword in Context summaries
Custom fields: index any JSON document, define which fields to index, to store, to search in, and to return in results
Custom web search & news search API: by combining Crawler as a service & Search as a service

More information on Search API features and Search API use cases, our Search as a service architecture and our REST API documentation.

Read our quick start guide on how to create a SeekStorm account and project. Learn how to use dashboard and REST API to index and query documents.

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Pricing
Trial
Free
1 Index
1 thousand Documents
10 MB Diskspace
10 thousand Operations
10 queries/sec Rate-Limit
Try SeekStorm for 14 days*
FREE TRIAL
Basic
$19/mo
1 Index
1 million Documents
1 GB Diskspace
1 million Operations/mo**
10 queries/sec Rate-Limit
Email Support
SIGN UP
Pro
$99/mo
3 Index
10 million Documents
10 GB Diskspace
10 million Operations/mo**
30 queries/sec Rate-Limit
Email & Chat Support
SIGN UP
Business
$499/mo
10 Index
100 million Documents
100 GB Diskspace
100 million Operations/mo**
100 queries/sec Rate-Limit
Email & Chat Support
SIGN UP
For large, custom, enterprise solutions, please contact us: info@seekstorm.com

* The 14-day Free Trial allows you to test all features for free. No credit card required, you won't be charged at any time. The trial ends automatically after 14 days and all your indices and documents will be deleted permanently. No manual cancelation is required. Within the 14 days you can choose to upgrade to a paid plan and keep your data.

** Operations: crawl page/index/update/delete/query doc.
If more than 10 results are requested per query, than 1 operation is counted for every 10 results.
If more than 1000 terms are indexed per document, than 1 operation is counted for every 1000 terms
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Our open-source projects
While working hard to bring the best search to our customers, we are also committed to contributing to the open-source community.
SymSpell
Spelling correction & Fuzzy search: 1 million times faster spelling correction algorithm.
View on GitHub
WordSegmentationTM
Fast Word Segmentation using novel Triangular Matrix approach.
View on GitHub
PruningRadixTrie
1000x faster Radix trie for prefix search & auto-complete.
View on GitHub
EliasFanoCompression
Quasi-succinct compression of sorted integers in C#. Close to theoretical compression limit.
View on GitHub