The Semantic Graph Layer to
Model, Integrate, and Query your Data using Business Terms and Relationships

Timbr delivers x10 faster and simpler data engineering and consumption with agile
semantic modeling, relationships, data virtualization, and up to 90% shorter SQL queries

What is Timbr in 154 secs:

Play Video about Supply Chain Data Model

Our customers love Timbr

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Our customers love Timbr

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"Timbr is a total must have for any meaningful data lake - no matter which SQL backend you use. Timbr adds a thin, light, layer of semantics applied at query time which totally adapts to the way your data has been stored in your existing systems."
"Excellent product, we use its many capabilities in our global organization. Timbr team are highly technical and professional, support is way above great, features are coming super fast. Great enabler to many data operations, easy to use reduce cost enhance performance and time to market.."
"Timbr is an incredibly useful tool for the business I support. It allows us to quickly and efficiently answer important business questions while also documenting our data model in the process."
"Excellent product, we use its many capabilities in our global organization. Great enabler to many data operations, easy to use, reduces costs, enhances performance and cuts time to market.."
Ontology above Schema
Revital A.
Data & ML Architect
"Timbr is an incredibly useful tool for the business I support. It allows us to quickly and efficiently answer important business questions while also documenting our data model in the process."
Ontology above Schema
Beth L.
Data Scientist

Timbr Unleashes the Power of Smart Data

Integrate and query data sources, give business meaning to data,
power graph analytics in SQL and accelerate delivery of data products

Timbr semantic graph layer

Agile semantic data modeling

Data Virtualization

Timbr Virtualization Engine

Short SQL queries

Without Timbr: 22 lines of SQL

            SELECT `order`.`order_id`, `order_date`, 
`home_office_customer`.`customer_name`,
`first_class_shipment`.`shipping_date`, 
`fitness_product`.`product_name`
FROM `scdata`.`datacosupplychaindataset_order` as `order` 
LEFT JOIN (
  SELECT product_id, product_name
  FROM `supply_chain_demo`.`product`
  WHERE `department` = 'Fitness') as `fitness_product`
  ON `order`.`product_id` = `fitness_product`.`product_id`
LEFT JOIN (
  SELECT `order_id`, `shipping_date`         
  FROM `scdata`.`datacosupplychaindataset_shipment`
  WHERE `shipping_mode` = 'First Class') as `first_class_shipment`
  ON `order`.`order_id` = `first_class_shipment`.`order_id`
LEFT JOIN (
  SELECT `customer_id`, 
    concat(`customer_first_name`, ' ', `customer_last_name`) as `customer_name`
  FROM `scdata`.`datacosupplychaindataset_customer` 
  WHERE `customer_segment` = 'Home Office') as `home_office_customer`
  ON `order`.`customer_id` = `home_office_customer`.`customer_id`
WHERE `product_price` * `order_item_quantity` - `order_item_discount` > 500
        

With Timbr: 6 lines of SQL

            SELECT order_id, order_date,
`ordered_by[home_office_customer].customer_name`,
`in_shipment[first_class_shipment].shipping_date`,
`includes_product[fitness_product].product_name`
FROM dtimbr.`order`
WHERE revenue > 500
        

Visually explore data
as a graph

Play Video

Easy and Fast Implementation

Choose your preferred deployment option

Easy and Fast Implementation

Choose your preferred deployment option

Gain strategic value from data
x10 faster and with minimum effort

* Basic SaaS subscription

1  GARTNER Cool Vendors in Data Management, June 01, 2021. ID: G00746797.
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. The GARTNER COOL VENDOR badge and GARTNER are registered trademarks and services marks of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.

1  GARTNER Cool Vendors in Data Management, June 01, 2021. ID: G00746797.
Analysts: Philip Russom , Ehtisham Zaidi , Jason Medd , Eric Thoo , Robert Thanaraj. 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. The GARTNER COOL VENDOR badge and GARTNER are registered trademarks and services marks of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.

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Model a Timbr SQL Knowledge Graph in just a few minutes and learn how easy it is to explore and query your data with the semantic graph

Model a Timbr SQL Knowledge Graph in just a few minutes and learn how easy it is to explore and query your data with the semantic graph

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