Reports/ Data Insights/ Espresso Machines
ORA Data Study

Espresso Machines: What 475 Owner Reviews Reveal

By the ORA Consensus Engine Updated July 2026 5 products analyzed

Key findings

  • The average ORA Consensus Score across 5 Espresso Machines products is 7.2/10, ranging from 6.6 to 7.8.
  • Owners rate Coffee Quality highest (8.8/10 average) and Build Quality lowest (4.5/10) — the most common weakness in this category.
  • The top-scoring product is the Breville Barista Pro Espresso Machine BES878BSS, Brushed Stainless Steel at 7.8/10.
  • Products in this study span $825–$2,200.
📊

The evidence behind this study

475reviews analyzed
0bot reviews removed
19off-topic removed
456synthesized

The Espresso Machines scoreboard

Browse all Espresso Machines reports →
#ProductORA ScoreReviews synthesizedPrice
1 Breville Barista Pro Espresso Machine BES878BSS, Brushed Stainless Steel 7.8 81 $825.00
2 De'Longhi Eletta Explore Espresso Machine with Cold Brew, Hot & Cold Milk Frother - 50+ Recipes, Built in Grinder, Smartphone Compatible with Bean Adapt Technology for Ideal Extraction, 3.8 Pounds 7.3 94 $1,999.95
3 Breville Barista Touch Espresso Machine BES880BSS, Brushed Stainless Steel 7.3 97 $999.95
4 De'Longhi Magnifica Evo Next Fully Automatic Espresso Machine - Programmable Coffee Maker with Grinder and Milk Frother - Hot & Cold Brewer for Espresso, Latte, Cappuccino, Americano, Tea and More 7.2 93 $1,099.95
5 Breville Oracle Espresso Machine BES980XL, Brushed Stainless Steel 6.6 91 $2,199.95

Where the category shines — and struggles

Average owner-derived score per dimension, across every product in this study scored on that dimension.

Build Quality
4.5
Ease of Use
8.5
Value
6.8
Coffee Quality
8.8
Value for Money
6.8
🔎
What this means for buyers: across 5 products, Build Quality is where Espresso Machines owners report the most disappointment — weigh it heavily before you buy.
🔍
How ORA built this: every number on this page is computed from the verified owner reviews behind our individual Espresso Machines reports. We remove suspected bot or incentivized entries and off-topic complaints, score each product on the dimensions owners actually talk about, then aggregate. Read our full methodology →

Citing this data

Journalists, publishers, and researchers are welcome to cite these findings with attribution to ORA Metrics and a link to this page. The underlying evidence counts are shown on every individual report.