Hyper-Space

Hyper-Space is an AI search engine that offers an elastic compatible cloud-native search database. It leverages custom computing power for uncompromised performance, consistency, and confidence in any type of search.

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Pricing

Usage-based · Paid

Free tier

API

Yes

Skill level

Technical

About

What is Hyper-Space?

Hyper-Space is a fully managed hybrid search database designed for real-time precision and scalability, offering unprecedented latency and throughput at reduced costs. It leverages custom computing power to enable any type of search, combining lexical and vector search functions like metadata filtering, aggregations, and TF-IDF. Built by performance-obsessed engineers, Hyperspace's purpose-built chip delivers unmatched search performance in data-intensive applications, surpassing traditional software-based solutions. It supports native Python syntax and comprehensive Elasticsearch functions, simplifying migration and execution of classic Elastic queries. Hyperspace is ideal for real-time search applications and data analytics, scaling from zero to billions at half the cost.

Best used for

Ideal for developers and data scientists who need to implement high-performance, scalable search solutions, combine vector and lexical search, and reduce operational costs. Especially valuable for real-time search applications and data analytics requiring uncompromised performance and consistency at a billion scale.

Common actions

perform real-time search

scale search operations

reduce search costs

integrate search functions

analyze large datasets

search engine

Capabilities

Key features

Hybrid search database
Vector search
Lexical search
Elasticsearch compatible
Python syntax support
High availability
Cost-effective scaling

Target Audience

developerdata scientistproduct managerstartup founder

Integrations

elasticsearch

Pricing & Plans

Usage-based · Paid

Contact for Pricing

FAQs

What are the primary benefits of using Hyperspace?

Hyperspace offers a fully managed hybrid search database with unprecedented latency and throughput, combining lexical and vector search. It allows for multiple vectors in one query, leading to faster, more cost-effective, and scalable search solutions for large data sets.

How does Hyperspace help reduce costs?

Hyperspace utilizes a per-use pricing model, giving users full control over database costs. Its extreme latency allows for the use of fewer machines, potentially reducing costs by up to 50% while maintaining performance at a billion scale.

What programming languages and syntaxes does Hyperspace support?

Hyperspace supports native Python syntax, making it easy for users familiar with Python commands. Additionally, it offers comprehensive support for Elasticsearch functions, simplifying the migration process for those accustomed to classic Elastic queries.

Does Hyperspace offer high availability and data security?

Yes, Hyperspace offers a high availability of 99.99% and is fully secured. It is compatible with common data privacy and security requirements such as GDPR and SOC2, ensuring data protection and reliability.

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