Search by Algolia
Easily integrate Algolia into native apps with FlutterFlow
engineering

Easily integrate Algolia into native apps with FlutterFlow

Algolia's advanced search capabilities pair seamlessly with iOS or Android Apps when using FlutterFlow. App development and search design ...

Chuck Meyer

Sr. Developer Relations Engineer

Algolia's search propels 1,000s of retailers to Black Friday success
e-commerce

Algolia's search propels 1,000s of retailers to Black Friday success

In the midst of the Black Friday shopping frenzy, Algolia soared to new heights, setting new records and delivering an ...

Bernadette Nixon

Chief Executive Officer and Board Member at Algolia

Generative AI’s impact on the ecommerce industry
ai

Generative AI’s impact on the ecommerce industry

When was your last online shopping trip, and how did it go? For consumers, it’s becoming arguably tougher to ...

Vincent Caruana

Senior Digital Marketing Manager, SEO

What’s the average ecommerce conversion rate and how does yours compare?
e-commerce

What’s the average ecommerce conversion rate and how does yours compare?

Have you put your blood, sweat, and tears into perfecting your online store, only to see your conversion rates stuck ...

Vincent Caruana

Senior Digital Marketing Manager, SEO

What are AI chatbots, how do they work, and how have they impacted ecommerce?
ai

What are AI chatbots, how do they work, and how have they impacted ecommerce?

“Hello, how can I help you today?”  This has to be the most tired, but nevertheless tried-and-true ...

Catherine Dee

Search and Discovery writer

Algolia named a leader in IDC MarketScape
algolia

Algolia named a leader in IDC MarketScape

We are proud to announce that Algolia was named a leader in the IDC Marketscape in the Worldwide General-Purpose ...

John Stewart

VP Corporate Marketing

Mastering the channel shift: How leading distributors provide excellent online buying experiences
e-commerce

Mastering the channel shift: How leading distributors provide excellent online buying experiences

Twice a year, B2B Online brings together America’s leading manufacturers and distributors to uncover learnings and industry trends. This ...

Jack Moberger

Director, Sales Enablement & B2B Practice Leader

Large language models (LLMs) vs generative AI: what’s the difference?
ai

Large language models (LLMs) vs generative AI: what’s the difference?

Generative AI and large language models (LLMs). These two cutting-edge AI technologies sound like totally different, incomparable things. One ...

Catherine Dee

Search and Discovery writer

What is generative AI and how does it work?
ai

What is generative AI and how does it work?

ChatGPT, Bing, Bard, YouChat, DALL-E, Jasper…chances are good you’re leveraging some version of generative artificial intelligence on ...

Catherine Dee

Search and Discovery writer

Feature Spotlight: Query Suggestions
product

Feature Spotlight: Query Suggestions

Your users are spoiled. They’re used to Google’s refined and convenient search interface, so they have high expectations ...

Jaden Baptista

Technical Writer

What does it take to build and train a large language model? An introduction
ai

What does it take to build and train a large language model? An introduction

Imagine if, as your final exam for a computer science class, you had to create a real-world large language ...

Vincent Caruana

Sr. SEO Web Digital Marketing Manager

The pros and cons of AI language models
ai

The pros and cons of AI language models

What do you think of the OpenAI ChatGPT app and AI language models? There’s lots going on: GPT-3 ...

Catherine Dee

Search and Discovery writer

How AI is transforming merchandising from reactive to proactive
e-commerce

How AI is transforming merchandising from reactive to proactive

In the fast-paced and dynamic realm of digital merchandising, being reactive to customer trends has been the norm. In ...

Lorna Rivera

Staff User Researcher

Top examples of some of the best large language models out there
ai

Top examples of some of the best large language models out there

You’re at a dinner party when the conversation takes a computer-science-y turn. Have you tried ChatGPT? What ...

Vincent Caruana

Sr. SEO Web Digital Marketing Manager

What are large language models?
ai

What are large language models?

It’s the era of Big Data, and super-sized language models are the latest stars. When it comes to ...

Catherine Dee

Search and Discovery writer

Mobile search done right: Common pitfalls and best practices
ux

Mobile search done right: Common pitfalls and best practices

Did you know that 86% of the global population uses a smartphone? The 7 billion devices connected to the Internet ...

Alexandre Collin

Staff SME Business & Optimization - UI/UX

Cloud Native meetup: Observability & Sustainability
engineering

Cloud Native meetup: Observability & Sustainability

The Cloud Native Foundation is known for being the organization behind Kubernetes and many other Cloud Native tools. To foster ...

Tim Carry

Algolia DocSearch is now free for all docs sites
product

Algolia DocSearch is now free for all docs sites

TL;DR Revamp your technical documentation search experience with DocSearch! Previously only available to open-source projects, we're excited ...

Shane Afsar

Senior Engineering Manager

Looking for something?

facebookfacebooklinkedinlinkedintwittertwittermailmail

Have you ever bid in an online auction by throwing in your highest amount at literally the last minute, only to have someone beat you out by microseconds by using sneaky bidding software? Can you imagine how disturbing it would be to trade a stock at the perfect time and then have the trading site’s software react so slowly that you lose a significant amount of money?

In this age of Google search, people take data-processing speed for granted, and, as in the scenarios above, it’s a serious problem if there’s a lag. This issue is just as relevant when it comes to search, as well as the more passive activity of information “discovery” through browsing on shopping and media web pages. 

If you’re an online retailer, every single search is a potential conversion opportunity. If you’re an online shopper, every single search is important to you in terms of locating what you need and not wasting time. If you can’t quickly find what you want, you’re not going to stick around. You want to find what you want now, in real time. OK, well if not in real time, then in near real time. 

What is near-real-time data search?

When it comes to Big Data, near real time is a loosely defined term, as what’s considered “near” varies with applications and websites. 

According to the Free Dictionary, near real time (NRT) pertains “to the timeliness of data or information which has been delayed by the time required for electronic communication and automatic data processing. This implies that there are no significant delays.”

Hmm; sounds kind of like real-time processing, doesn’t it? Let’s get more into the nitty-gritty. There are three types of data processing:

You know that real-time processing is the fastest type, typically used when information must absolutely be made available immediately or else, such as when a broker is trading stock.

Batch processing is a more economical option that tolerates some latency. Batches of content in a system, for instance, banking transactions or software updates, are saved up and then processed all at once, but less frequently than might be desirable if time were truly of the essence. Batch processing may take a while (even days) to be completed, but it’s a reliable, widely used option in the business world.

That leaves near real-time processing, the middle ground between these fast and slow processes. NRT is for when there’s a need for some speed, but when relatively moderate, “acceptable” speed is more than adequate.  

In terms of search, NRT refers to indexing. For instance, documents in an educational institution database could be made available to be retrieved by students searching “almost immediately” after they’ve been indexed. “Almost immediately” could mean a timeframe of minutes, seconds, or milliseconds.

Of course, you’re probably thinking, that’s not very good. When it comes to searching, real time would seem so much better. A real-time search engine would be the best, so why would you want anything else? 

It’s true that near real time is technically substandard by comparison; it means you’re not optimizing to provide updates as fast as possible. But before you decide that’s unacceptable, let’s keep things in perspective here and reflect on the fact that when it comes to human beings using software, near real time is still super fast.

Plus, as with anything, there are some drawbacks to vaunted real-time processing, such as the need to set up costly high-performance hardware and difficulty with auditing the data.

OK, so we’re probably in agreement now that if you’ve got a website that has a search feature, near-real-time results would be a pretty good thing to provide to your users or customers. But in case you’re still partial to the concept of real time and not quite convinced of the beauty of near real time, let us count the ways that near-real-time search is something to celebrate.

The benefits of near-real-time processing in search

Having modern search functionality on your website that dynamically updates web pages as your catalog content is updated translates into a better user experience that could include:

Happier shoppers

Here’s a theoretical online-retail use case: you’re going camping in a couple of weeks, so you’re shopping for a basic tent. You go to an outdoor supply store website homepage, enter your tent search terms (“basic camping tent”), and browse the many, many options. 

The site also recommends that you check out some fancier types of tent (like ones that are geodesic-dome shaped) to discover as you’re perusing the no-frills ones. 

You settle on a basic tent that seems like the best quality for the best price. “Done,” you say, imagining waking up in the wilderness in that tent.

But wait, where’s the Buy button? 

On the right side of the product detail page, you notice the message: “Hold on camper, give us a minute while we see if this tent’s in stock.” (Well maybe not in those words, but you get the drift.) 

Or worse, the message says that your dream tent indeed is not in stock. (Actually, a shipment has just come in, but the merchandising team hasn’t gotten around to updating the listing.) 

Now you have to either go car camping or start your tent search over. Grr.

What if this website had simply offered fast, efficient search? This camper could have quickly nabbed their preferred tent and headed out.

Better personalization

It’s safe to say that a personalized online shopping or browsing experience is something most people now expect. Shoppers want to be catered to, and they understandably don’t want to waste time. It’s not OK for your site to give them the equivalent of a ticking clock along the lines of “Hold on! We’re preparing your personalized content.” 

And if your business’s search engine isn’t operating at near-real-time speeds and gets bogged down by personalization tasks, that’s a significant problem, of course. Your users will probably give up and jump off of the site, perhaps never to return. Not good.

Satisfied media consumers

Let’s say you’re running some type of news site. You’re probably concerned about your search query processing times, and rightly so, as when it comes to news, timeliness is a must. Media consumers who are used to frequenting sites like Google News appreciate knowing the latest update shortly after reporters hit Publish. And if your “trending topics” are even slightly out of date, your users, accustomed to hitting “Refresh” every few minutes to get the latest scoop, aren’t going to develop much trust in your platform.

Streamlined customer-service experiences

Customer service is another place where data-processing time is of the essence. If you’re an unhappy customer who calls customer support, you want them to be able to pull up all of your data instantly. What you don’t want is the CS rep asking you to provide details that you’ve already entered on your phone keypad or online, but that apparently haven’t been processed and stored in the system yet or been allowed to be transferred between information silos. You don’t want to be put on hold for a dumb reason. 

Near-real-time-information support leads to speedy problem resolution.

Better business agility

Data processing needs to be able to keep up with the business it supports. To facilitate such data agility, a company needs a competent search tool that can give people access to the latest available searchable data they’re seeking. For example, on an ecommerce site, you’d want your inventory to be absolutely current so that merchandisers can access critical details in order to plan strategy and engage in productive decision making. 

When it comes to business intelligence and operational success, processing speed is truly of the essence. 

Speed up your search

Now that you’re enlightened about the nuances of the search-data-update process, you may be thinking about how you can upgrade to near-real-time content search on your website. Why not give your users the information they need without delay, and, as a result, make them happy while also driving positive results for your bottom line? 

Algolia’s near-real-time analytics API is one proven option. Our search engine uses advanced machine-learning algorithms and indexes data in near real time, providing your users with speedy search results that lead them straight to the right content on your site or in your app. They can then get on with their day (and, if applicable, leave you positive reviews).

In terms of Algolia’s response times, how fast is fast? There’s no delay between when a searcher types a letter in the search box and when they get a search results page to peruse. We ensure search availability 99.99% of the time. That’s nearly as fast as…well, not that, but it’s fast.

If you’re ready to find out how we can start speeding up your site or app experience with near-real-time search, we hope you’ll connect with our team. Are you a developer? You can start building out your site’s new search solution for free. Check out the ways Algolia can help your business grow today.

About the author
Catherine Dee

Search and Discovery writer

linkedin

Recommended Articles

Powered byAlgolia Algolia Recommend

Benefits of data-driven decision making: How real-time analytics can identify user intent
e-commerce

Catherine Dee

Search and Discovery writer

How to create the best search engine experience
ux

Catherine Dee

Search and Discovery writer

4 questions to ask for relevant search results
product

Jaden Baptista

Technical Writer