www.tecton.ai
Open in
urlscan Pro
141.193.213.10
Public Scan
Submitted URL: https://tecton.ai/
Effective URL: https://www.tecton.ai/
Submission Tags: analytics-framework
Submission: On April 25 via api from US — Scanned from DE
Effective URL: https://www.tecton.ai/
Submission Tags: analytics-framework
Submission: On April 25 via api from US — Scanned from DE
Form analysis 2 forms found in the DOM
POST https://forms.hsforms.com/submissions/v3/public/submit/formsnext/multipart/7159725/7896f9ad-a0b9-4276-b789-6c9a7ee6c69e
<form id="hsForm_7896f9ad-a0b9-4276-b789-6c9a7ee6c69e" method="POST" accept-charset="UTF-8" enctype="multipart/form-data" novalidate=""
action="https://forms.hsforms.com/submissions/v3/public/submit/formsnext/multipart/7159725/7896f9ad-a0b9-4276-b789-6c9a7ee6c69e"
class="hs-form-private hsForm_7896f9ad-a0b9-4276-b789-6c9a7ee6c69e hs-form-7896f9ad-a0b9-4276-b789-6c9a7ee6c69e hs-form-7896f9ad-a0b9-4276-b789-6c9a7ee6c69e_7ca2d7de-bbd6-4ed2-9b54-176a75c4cb07 hs-form stacked"
target="target_iframe_7896f9ad-a0b9-4276-b789-6c9a7ee6c69e" data-instance-id="7ca2d7de-bbd6-4ed2-9b54-176a75c4cb07" data-form-id="7896f9ad-a0b9-4276-b789-6c9a7ee6c69e" data-portal-id="7159725" data-hs-cf-bound="true">
<div class="hs_email hs-email hs-fieldtype-text field hs-form-field"><label id="label-email-7896f9ad-a0b9-4276-b789-6c9a7ee6c69e" class="" placeholder="Enter your " for="email-7896f9ad-a0b9-4276-b789-6c9a7ee6c69e"><span></span></label>
<legend class="hs-field-desc" style="display: none;"></legend>
<div class="input"><input id="email-7896f9ad-a0b9-4276-b789-6c9a7ee6c69e" name="email" required="" placeholder="Work email*" type="email" class="hs-input" inputmode="email" autocomplete="email" value=""></div>
</div>
<div class="hs_utm_campaign hs-utm_campaign hs-fieldtype-text field hs-form-field" style="display: none;"><label id="label-utm_campaign-7896f9ad-a0b9-4276-b789-6c9a7ee6c69e" class="" placeholder="Enter your UTM Campaign"
for="utm_campaign-7896f9ad-a0b9-4276-b789-6c9a7ee6c69e"><span>UTM Campaign</span></label>
<legend class="hs-field-desc" style="display: none;"></legend>
<div class="input"><input name="utm_campaign" class="hs-input" type="hidden" value=""></div>
</div>
<div class="hs_utm_source hs-utm_source hs-fieldtype-text field hs-form-field" style="display: none;"><label id="label-utm_source-7896f9ad-a0b9-4276-b789-6c9a7ee6c69e" class="" placeholder="Enter your UTM Source"
for="utm_source-7896f9ad-a0b9-4276-b789-6c9a7ee6c69e"><span>UTM Source</span></label>
<legend class="hs-field-desc" style="display: none;"></legend>
<div class="input"><input name="utm_source" class="hs-input" type="hidden" value=""></div>
</div>
<div class="hs_utm_medium hs-utm_medium hs-fieldtype-text field hs-form-field" style="display: none;"><label id="label-utm_medium-7896f9ad-a0b9-4276-b789-6c9a7ee6c69e" class="" placeholder="Enter your UTM Medium"
for="utm_medium-7896f9ad-a0b9-4276-b789-6c9a7ee6c69e"><span>UTM Medium</span></label>
<legend class="hs-field-desc" style="display: none;"></legend>
<div class="input"><input name="utm_medium" class="hs-input" type="hidden" value=""></div>
</div>
<div class="hs_utm_content hs-utm_content hs-fieldtype-text field hs-form-field" style="display: none;"><label id="label-utm_content-7896f9ad-a0b9-4276-b789-6c9a7ee6c69e" class="" placeholder="Enter your UTM Content"
for="utm_content-7896f9ad-a0b9-4276-b789-6c9a7ee6c69e"><span>UTM Content</span></label>
<legend class="hs-field-desc" style="display: none;"></legend>
<div class="input"><input name="utm_content" class="hs-input" type="hidden" value=""></div>
</div>
<div class="hs_utm_term hs-utm_term hs-fieldtype-text field hs-form-field" style="display: none;"><label id="label-utm_term-7896f9ad-a0b9-4276-b789-6c9a7ee6c69e" class="" placeholder="Enter your UTM Term"
for="utm_term-7896f9ad-a0b9-4276-b789-6c9a7ee6c69e"><span>UTM Term</span></label>
<legend class="hs-field-desc" style="display: none;"></legend>
<div class="input"><input name="utm_term" class="hs-input" type="hidden" value=""></div>
</div>
<div class="hs_all_url_parameters hs-all_url_parameters hs-fieldtype-text field hs-form-field" style="display: none;"><label id="label-all_url_parameters-7896f9ad-a0b9-4276-b789-6c9a7ee6c69e" class="" placeholder="Enter your All URL parameters"
for="all_url_parameters-7896f9ad-a0b9-4276-b789-6c9a7ee6c69e"><span>All URL parameters</span></label>
<legend class="hs-field-desc" style="display: none;"></legend>
<div class="input"><input name="all_url_parameters" class="hs-input" type="hidden" value=""></div>
</div>
<div class="hs_referrer_url hs-referrer_url hs-fieldtype-text field hs-form-field" style="display: none;"><label id="label-referrer_url-7896f9ad-a0b9-4276-b789-6c9a7ee6c69e" class="" placeholder="Enter your Referrer URL"
for="referrer_url-7896f9ad-a0b9-4276-b789-6c9a7ee6c69e"><span>Referrer URL</span></label>
<legend class="hs-field-desc" style="display: none;"></legend>
<div class="input"><input name="referrer_url" class="hs-input" type="hidden" value=""></div>
</div>
<div class="hs_submit hs-submit">
<div class="hs-field-desc" style="display: none;"></div>
<div class="actions"><input type="submit" class="hs-button primary large" value="Free Trial"></div>
</div><input name="hs_context" type="hidden"
value="{"embedAtTimestamp":"1682433607087","formDefinitionUpdatedAt":"1667250742552","lang":"en","embedType":"REGULAR","clonedFromForm":"0e38d240-0950-481d-862f-fedf9fb70cce","renderRawHtml":"true","userAgent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.5615.121 Safari/537.36","pageTitle":"Tecton | Feature Platform for Machine Learning","pageUrl":"https://www.tecton.ai/","isHubSpotCmsGeneratedPage":false,"contentType":"standard-page","hutk":"d1c77d162793e2598d2c988e1fc0b359","__hsfp":2397838929,"__hssc":"142552237.1.1682433608062","__hstc":"142552237.d1c77d162793e2598d2c988e1fc0b359.1682433608062.1682433608062.1682433608062.1","formTarget":"#tecton-hs-form-part-1","locale":"en","timestamp":1682433608104,"originalEmbedContext":{"portalId":"7159725","formId":"7896f9ad-a0b9-4276-b789-6c9a7ee6c69e","region":"na1","target":"#tecton-hs-form-part-1","isBuilder":false,"isTestPage":false,"isPreview":false,"translations":{"en":{"manuallyBlockedEmailDomain":"Please enter a valid work email.","invalidEmail":"Please enter a valid work email."}},"isMobileResponsive":true},"correlationId":"7ca2d7de-bbd6-4ed2-9b54-176a75c4cb07","renderedFieldsIds":["email","utm_campaign","utm_source","utm_medium","utm_content","utm_term","all_url_parameters","referrer_url"],"captchaStatus":"NOT_APPLICABLE","emailResubscribeStatus":"NOT_APPLICABLE","isInsideCrossOriginFrame":false,"source":"forms-embed-1.3102","sourceName":"forms-embed","sourceVersion":"1.3102","sourceVersionMajor":"1","sourceVersionMinor":"3102","_debug_allPageIds":{},"_debug_embedLogLines":[{"clientTimestamp":1682433607290,"level":"INFO","message":"Retrieved customer callbacks used on embed context: [\"onFormSubmit\",\"onFormSubmitted\"]"},{"clientTimestamp":1682433607290,"level":"INFO","message":"Retrieved pageContext values which may be overriden by the embed context: {\"pageTitle\":\"Tecton | Feature Platform for Machine Learning\",\"pageUrl\":\"https://www.tecton.ai/\",\"userAgent\":\"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.5615.121 Safari/537.36\",\"isHubSpotCmsGeneratedPage\":false}"},{"clientTimestamp":1682433607291,"level":"INFO","message":"Retrieved countryCode property from normalized embed definition response: \"DE\""},{"clientTimestamp":1682433608097,"level":"INFO","message":"Retrieved analytics values from API response which may be overriden by the embed context: {\"hutk\":\"d1c77d162793e2598d2c988e1fc0b359\",\"contentType\":\"standard-page\"}"}]}"><iframe
name="target_iframe_7896f9ad-a0b9-4276-b789-6c9a7ee6c69e" style="display: none;"></iframe>
</form>POST https://forms.hsforms.com/submissions/v3/public/submit/formsnext/multipart/7159725/fa03eeb2-f046-41fb-b900-0bd03bb62f57
<form id="hsForm_fa03eeb2-f046-41fb-b900-0bd03bb62f57" method="POST" accept-charset="UTF-8" enctype="multipart/form-data" novalidate=""
action="https://forms.hsforms.com/submissions/v3/public/submit/formsnext/multipart/7159725/fa03eeb2-f046-41fb-b900-0bd03bb62f57"
class="hs-form-private hsForm_fa03eeb2-f046-41fb-b900-0bd03bb62f57 hs-form-fa03eeb2-f046-41fb-b900-0bd03bb62f57 hs-form-fa03eeb2-f046-41fb-b900-0bd03bb62f57_19ba80e0-7716-4530-92c7-615c57c13dd8 hs-form stacked"
target="target_iframe_fa03eeb2-f046-41fb-b900-0bd03bb62f57" data-instance-id="19ba80e0-7716-4530-92c7-615c57c13dd8" data-form-id="fa03eeb2-f046-41fb-b900-0bd03bb62f57" data-portal-id="7159725" data-hs-cf-bound="true">
<div class="hs_email hs-email hs-fieldtype-text field hs-form-field"><label id="label-email-fa03eeb2-f046-41fb-b900-0bd03bb62f57" class="" placeholder="Enter your Email" for="email-fa03eeb2-f046-41fb-b900-0bd03bb62f57"><span>Email</span><span
class="hs-form-required">*</span></label>
<legend class="hs-field-desc" style="display: none;"></legend>
<div class="input"><input id="email-fa03eeb2-f046-41fb-b900-0bd03bb62f57" name="email" required="" placeholder="Email*" type="email" class="hs-input" inputmode="email" autocomplete="email" value=""></div>
</div>
<div class="hs_all_url_parameters hs-all_url_parameters hs-fieldtype-text field hs-form-field" style="display: none;"><label id="label-all_url_parameters-fa03eeb2-f046-41fb-b900-0bd03bb62f57" class="" placeholder="Enter your All URL parameters"
for="all_url_parameters-fa03eeb2-f046-41fb-b900-0bd03bb62f57"><span>All URL parameters</span></label>
<legend class="hs-field-desc" style="display: none;"></legend>
<div class="input"><input name="all_url_parameters" class="hs-input" type="hidden" value=""></div>
</div>
<div class="hs_referrer_url hs-referrer_url hs-fieldtype-text field hs-form-field" style="display: none;"><label id="label-referrer_url-fa03eeb2-f046-41fb-b900-0bd03bb62f57" class="" placeholder="Enter your Referrer URL"
for="referrer_url-fa03eeb2-f046-41fb-b900-0bd03bb62f57"><span>Referrer URL</span></label>
<legend class="hs-field-desc" style="display: none;"></legend>
<div class="input"><input name="referrer_url" class="hs-input" type="hidden" value=""></div>
</div>
<div class="hs_utm_campaign hs-utm_campaign hs-fieldtype-text field hs-form-field" style="display: none;"><label id="label-utm_campaign-fa03eeb2-f046-41fb-b900-0bd03bb62f57" class="" placeholder="Enter your utm_campaign"
for="utm_campaign-fa03eeb2-f046-41fb-b900-0bd03bb62f57"><span>utm_campaign</span></label>
<legend class="hs-field-desc" style="display: none;"></legend>
<div class="input"><input name="utm_campaign" class="hs-input" type="hidden" value=""></div>
</div>
<div class="hs_utm_content hs-utm_content hs-fieldtype-text field hs-form-field" style="display: none;"><label id="label-utm_content-fa03eeb2-f046-41fb-b900-0bd03bb62f57" class="" placeholder="Enter your utm_content"
for="utm_content-fa03eeb2-f046-41fb-b900-0bd03bb62f57"><span>utm_content</span></label>
<legend class="hs-field-desc" style="display: none;"></legend>
<div class="input"><input name="utm_content" class="hs-input" type="hidden" value=""></div>
</div>
<div class="hs_utm_medium hs-utm_medium hs-fieldtype-text field hs-form-field" style="display: none;"><label id="label-utm_medium-fa03eeb2-f046-41fb-b900-0bd03bb62f57" class="" placeholder="Enter your utm_medium"
for="utm_medium-fa03eeb2-f046-41fb-b900-0bd03bb62f57"><span>utm_medium</span></label>
<legend class="hs-field-desc" style="display: none;"></legend>
<div class="input"><input name="utm_medium" class="hs-input" type="hidden" value=""></div>
</div>
<div class="hs_utm_source hs-utm_source hs-fieldtype-text field hs-form-field" style="display: none;"><label id="label-utm_source-fa03eeb2-f046-41fb-b900-0bd03bb62f57" class="" placeholder="Enter your utm_source"
for="utm_source-fa03eeb2-f046-41fb-b900-0bd03bb62f57"><span>utm_source</span></label>
<legend class="hs-field-desc" style="display: none;"></legend>
<div class="input"><input name="utm_source" class="hs-input" type="hidden" value=""></div>
</div>
<div class="hs_utm_term hs-utm_term hs-fieldtype-text field hs-form-field" style="display: none;"><label id="label-utm_term-fa03eeb2-f046-41fb-b900-0bd03bb62f57" class="" placeholder="Enter your utm_term"
for="utm_term-fa03eeb2-f046-41fb-b900-0bd03bb62f57"><span>utm_term</span></label>
<legend class="hs-field-desc" style="display: none;"></legend>
<div class="input"><input name="utm_term" class="hs-input" type="hidden" value=""></div>
</div>
<div
class="hs_i_d_like_to_opt_in_to_receive_newsletters_about_about_product_updates__upcoming_events__and_news_ hs-i_d_like_to_opt_in_to_receive_newsletters_about_about_product_updates__upcoming_events__and_news_ hs-fieldtype-booleancheckbox field hs-form-field">
<legend class="hs-field-desc" style="display: none;"></legend>
<div class="input">
<ul class="inputs-list">
<li class="hs-form-booleancheckbox"><label for="i_d_like_to_opt_in_to_receive_newsletters_about_about_product_updates__upcoming_events__and_news_-fa03eeb2-f046-41fb-b900-0bd03bb62f57" class="hs-form-booleancheckbox-display"><input
id="i_d_like_to_opt_in_to_receive_newsletters_about_about_product_updates__upcoming_events__and_news_-fa03eeb2-f046-41fb-b900-0bd03bb62f57" class="hs-input" type="checkbox"
name="i_d_like_to_opt_in_to_receive_newsletters_about_about_product_updates__upcoming_events__and_news_" value="true"><span>I’d like to opt-in to receive newsletters about product updates, upcoming events, and industry
news.</span></label></li>
</ul>
</div>
</div>
<div class="hs_submit hs-submit">
<div class="hs-field-desc" style="display: none;"></div>
<div class="actions"><input type="submit" class="hs-button primary large" value="Submit"></div>
</div><input name="hs_context" type="hidden"
value="{"embedAtTimestamp":"1682433606893","formDefinitionUpdatedAt":"1667251093482","lang":"en","embedType":"REGULAR","renderRawHtml":"true","userAgent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.5615.121 Safari/537.36","pageTitle":"Tecton | Feature Platform for Machine Learning","pageUrl":"https://www.tecton.ai/","isHubSpotCmsGeneratedPage":false,"contentType":"standard-page","hutk":"d1c77d162793e2598d2c988e1fc0b359","__hsfp":2397838929,"__hssc":"142552237.1.1682433608062","__hstc":"142552237.d1c77d162793e2598d2c988e1fc0b359.1682433608062.1682433608062.1682433608062.1","formTarget":"#hbspt-form-19ba80e0-7716-4530-92c7-615c57c13dd8","locale":"en","timestamp":1682433608096,"originalEmbedContext":{"portalId":"7159725","formId":"fa03eeb2-f046-41fb-b900-0bd03bb62f57","region":"na1","target":"#hbspt-form-19ba80e0-7716-4530-92c7-615c57c13dd8","isBuilder":false,"isTestPage":false,"isPreview":false,"translations":{"en":{"manuallyBlockedEmailDomain":"Please enter a valid work email.","invalidEmail":"Please enter a valid work email."}},"isMobileResponsive":true},"correlationId":"19ba80e0-7716-4530-92c7-615c57c13dd8","renderedFieldsIds":["email","all_url_parameters","referrer_url","utm_campaign","utm_content","utm_medium","utm_source","utm_term","i_d_like_to_opt_in_to_receive_newsletters_about_about_product_updates__upcoming_events__and_news_"],"captchaStatus":"NOT_APPLICABLE","emailResubscribeStatus":"NOT_APPLICABLE","isInsideCrossOriginFrame":false,"source":"forms-embed-1.3102","sourceName":"forms-embed","sourceVersion":"1.3102","sourceVersionMajor":"1","sourceVersionMinor":"3102","_debug_allPageIds":{},"_debug_embedLogLines":[{"clientTimestamp":1682433607009,"level":"INFO","message":"Retrieved pageContext values which may be overriden by the embed context: {\"pageTitle\":\"Tecton | Feature Platform for Machine Learning\",\"pageUrl\":\"https://www.tecton.ai/\",\"userAgent\":\"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.5615.121 Safari/537.36\",\"isHubSpotCmsGeneratedPage\":false}"},{"clientTimestamp":1682433607011,"level":"INFO","message":"Retrieved countryCode property from normalized embed definition response: \"DE\""},{"clientTimestamp":1682433608089,"level":"INFO","message":"Retrieved analytics values from API response which may be overriden by the embed context: {\"hutk\":\"d1c77d162793e2598d2c988e1fc0b359\",\"contentType\":\"standard-page\"}"}]}"><iframe
name="target_iframe_fa03eeb2-f046-41fb-b900-0bd03bb62f57" style="display: none;"></iframe>
</form>Text Content
Tecton
apply(risk): Join us for a free virtual event on data engineering for ML risk
and fraud detection systems! Register now
Dismiss
mobile-menu
* Product
* Feature Platform
* On-Demand Demo
* What’s New?
* FAQ
* Tecton & Feast Comparison
* On-Demand DemoDiscover how Tecton accelerates your path to real-time
machine learning
* Solutions
* Customers
* Documentation
* Learn
* Blog
* Resources
* apply() Conference
* Feature Store
* Community Slack
* The Buyer’s Guide to Evaluating ML Feature Stores and PlatformsGet the
eBook
* Company
* About us
* Careers
* Contact Us
* Building vs. Buying a Feature StoreLearn what’s right for you
* Request a Demo
* Free Trial
Request a Demo
Free Trial
apply(risk): Join us for a free virtual event on data engineering for ML risk
and fraud detection systems! Register now
Dismiss
mobile-menu
* Product
* Feature Platform
* On-Demand Demo
* What’s New?
* FAQ
* Tecton & Feast Comparison
* On-Demand DemoDiscover how Tecton accelerates your path to real-time
machine learning
* Solutions
* Customers
* Documentation
* Learn
* Blog
* Resources
* apply() Conference
* Feature Store
* Community Slack
* The Buyer’s Guide to Evaluating ML Feature Stores and PlatformsGet the
eBook
* Company
* About us
* Careers
* Contact Us
* Building vs. Buying a Feature StoreLearn what’s right for you
* Request a Demo
* Free Trial
Request a Demo
Free Trial
TRANSFORM. SERVE. SCALE.
FEATURE PLATFORM FOR REAL-TIME MACHINE LEARNING
Power all your models with production-ready batch, streaming, and real-time data
pipelines
UTM Campaign
UTM Source
UTM Medium
UTM Content
UTM Term
All URL parameters
Referrer URL
Or contact sales
From the creators of Uber Michelangelo, the ML Platform powering every model at
Uber. Tecton is trusted by leading ML teams.
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
MORE THAN JUST A FEATURE STORE
THE ALL-IN-ONE SYSTEM TO BUILD, AUTOMATE, AND CENTRALIZE FEATURE WORKFLOWS FOR
PRODUCTION ML
PRODUCTION PIPELINES IN MINUTES
Create robust data pipelines from just a few lines of code — Tecton
automatically builds, orchestrates, and maintains them so your teams don’t have
to
INCREASED MODEL ACCURACY
Automate robust pipelines that materialize fresh features consistently across
training and serving environments to ensure improved model performance
IMPROVED COLLABORATION
Standardize machine learning data workflows in one platform so teams can easily
share and reuse features across use cases
MISSION-CRITICAL RELIABILITY
Serve features in production at extreme scale for batch, streaming, or
real-time ML with the confidence that systems will always be up and running
THE PROBLEM WE SOLVE
THE PROBLEM WE SOLVE
DATA ENGINEERING FOR REAL-TIME ML IS HARD
* Training / serving skew
* Point-in-time correctness
* Productionizing notebooks
* Real-time transformations
* Melding batch + real-time data
* Complicated backfills
* Latency constraints
* Ensuring service levels at scale
A COMPLETE PLATFORM
DESIGN AND MANAGE THE ENTIRE ML FEATURE LIFECYCLE
From simple declarative transformation logic to fresh feature values you can
store, serve, and monitor, in real-time.
Feature Management
Feature Logic
Feature Repository
Feature Engine
Feature Store
Explore the product
FEATURE MANAGEMENT: DISCOVER, USE, MONITOR, AND GOVERN END-TO-END FEATURE
PIPELINES
With Tecton, anyone on the team can discover and use existing features all the
while monitoring associated data pipelines, serving latencies, processing costs,
and underlying systems of their machine learning applications.
FEATURE LOGIC: DESIGN AND DEFINE ML FEATURES
By using the SDK in a notebook or any other Python environment, users can define
feature logic in SQL, PySpark, SnowPark, or Python, and rely on Tecton to
execute complex data transformations like time-window aggregations or generate
training data with accurate backfills.
Batch
Streaming (near real-time)
Real-time
Batch
# Specify inputs, entities and compute configuration
@batch_feature_view(
description="Whether the user has a good credit score, updated daily",
sources=[credit_scores],
entities=[user],
feature_start_time=datetime(2020, 10, 1),
batch_schedule=timedelta(days=1),
)
# Define transformation logic
def user_credit_quality(credit_scores):
return f'''
SELECT
USER_ID,
IF (CREDIT_SCORE > 700, 1, 0) AS USER_HAS_GOOD_CREDIT,
TIMESTAMP
FROM
{credit_scores}
'''
Streaming (near real-time)
# Specify inputs, entities, and compute configuration
@stream_feature_view(
description="Mean transaction amount of last hour, 24h and 72h, updated every 10 min",
source=transactions,
entities=[user],
feature_start_time=datetime(2020, 10, 1),
# Define logic for time-window aggregations
aggregation_interval=timedelta(minutes=10),
aggregations=[
Aggregation(column='AMOUNT', function='mean', time_window=timedelta(hours=1)),
Aggregation(column='AMOUNT', function='mean', time_window=timedelta(hours=24)),
Aggregation(column='AMOUNT', function='mean', time_window=timedelta(hours=72)),
],
)
# Define query to use in the transformation
def mean_transaction_amount(transactions):
return f'''
SELECT
USER_ID,
AMOUNT,
TIMESTAMP
FROM
{transactions}
'''
Real-time
# Indicate schema of incoming request-time data (e.g. live transaction data)
transaction_request = RequestSource([Field('amount', Float64)])
# Specify inputs and schema of the output
@on_demand_feature_view(
description="Whether the current transaction amount is higher than the user's weekly average.",
sources=[transaction_request, historical_metrics],
schema=[Field('transaction_amount_is_higher_than_average', Bool)],
)
# Define transformation logic
def transaction_amount_is_higher_than_average(transaction_request, historical_metrics):
result = {}
result['transaction_amount_is_higher_than_average'] = (
transaction_request['amount'] >= historical_metrics['amount_7d_mean'])
return result
FEATURE REPOSITORY: REGISTER AND COLLABORATE ON FEATURE DEFINITIONS
Tecton’s feature repository lets users manage feature definitions as files in a
git-like repository. With Tecton, users define features in code, version control
them in git, unit test them, and roll them out safely using Continuous Delivery
pipelines. With Tecton, bring battle-tested DevOps software practices to feature
engineering.
FEATURE ENGINE: TRANSFORM RAW DATA INTO FRESH FEATURE VALUES
Tecton integrates with existing data processing and storage infrastructures to
automatically compile the underlying data pipelines that compute batch,
streaming, or real-time features, insulating the end user from their complexity.
FEATURE STORE: STORE AND SERVE FRESH FEATURE VALUES
Based on a user’s pre-defined requirements, Tecton helps organizations scale
compute, storage, and serving independently to adjust to usage patterns,
leverages an offline store for large-scale and low-cost retrieval (training) and
an online store for low-latency retrieval (online serving). Tecton provides
uninterrupted access to fresh features on demand.
Training
Online Serving
Training
Online Serving
CUSTOMER STORIES
Hear Cash App’s journey through various generations of its core machine-learning
capabilities and how Tecton’s real-time feature platform helps them deliver
world-class recommendations.
Watch the Video
Atlassian reduced the time to deploy new features from 1-3 months to 1 day using
Tecton, powering recommendations in Jira and Confluence.
Read Case Study
Tide used Tecton to launch automatic fraud detection during new customer
onboarding, replacing manual reviews of new accounts and saving $600K.
Read Case Study
Hear Cash App’s journey through various generations of its core machine-learning
capabilities and how Tecton’s real-time feature platform helps them deliver
world-class recommendations.
Watch the Video
Atlassian reduced the time to deploy new features from 1-3 months to 1 day using
Tecton, powering recommendations in Jira and Confluence.
Read Case Study
Tide used Tecton to launch automatic fraud detection during new customer
onboarding, replacing manual reviews of new accounts and saving $600K.
Read Case Study
Hear Cash App’s journey through various generations of its core machine-learning
capabilities and how Tecton’s real-time feature platform helps them deliver
world-class recommendations.
Watch the Video
Atlassian reduced the time to deploy new features from 1-3 months to 1 day using
Tecton, powering recommendations in Jira and Confluence.
Read Case Study
Tide used Tecton to launch automatic fraud detection during new customer
onboarding, replacing manual reviews of new accounts and saving $600K.
Read Case Study
Previous
Next
BATTLE TESTED FOR THE ENTERPRISE
RELIABILITY AND SCALE YOU EXPECT FROM A PRODUCTION SYSTEM
FULLY MANAGED AND CLOUD NATIVE
Tecton makes it easy to deploy and operate machine learning with a managed,
cloud native service.
BUILT FOR AVAILABILITY AND SCALE
Tecton is built for scale, delivering median latencies of ~5ms and supporting
over 100,000 of requests per second.
INTEGRATES WITH YOUR EXISTING STACK
Tecton is not a database or a processing engine. It plugs into and orchestrates
on top of your existing storage and processing infrastructure.
SECURE AND COMPLIANT
Tecton authenticates users via SSO and includes support for access control
lists. We support GDPR compliance in your ML applications, and are SOC2 Type 2
certified.
Learn More
BUILD FEATURES, NOT PIPELINES
Request a Free Trial
LET'S KEEP IN TOUCH
Receive the latest content from Tecton!
Email*
All URL parameters
Referrer URL
utm_campaign
utm_content
utm_medium
utm_source
utm_term
* I’d like to opt-in to receive newsletters about product updates, upcoming
events, and industry news.
* Product
* Feature Platform
* Monthly Demo
* Request Your 1-1 Demo
* Developers
* Documentation
* What’s New
* Community Slack
* Resources
* Blog
* Customers
* White Papers
* Company
* About Us
* Careers
* Contact Us
* Product
* Feature Platform
* Monthly Demo
* Request Your 1-1 Demo
* Developers
* Documentation
* What’s New
* Community Slack
* Resources
* Blog
* Customers
* White Papers
* Company
* About Us
* Careers
* Contact Us
*
*
*
*
© Tecton, Inc. All rights reserved. Various trademarks held by their respective
owners.
The Gartner Cool Vendor badge is a trademark and service mark of Gartner, Inc.,
and/or its affiliates, and is used herein with permission. All rights reserved.
Gartner does not endorse any vendor, product or service depicted in its research
publications, and does not advise technology users to select only those vendors
with the highest ratings or other designation. Gartner research publications
consist of the opinions of Gartner’s research organization and should not be
construed as statements of fact. Gartner disclaims all warranties, expressed or
implied, with respect to this research, including any warranties of
merchantability or fitness for a particular purpose.
Privacy and Terms