Model, Integrate, and Query
your data sources using
Business Terms

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

Our customers love Timbr

Our customers love Timbr

Manage and Consume data as a Knowledge Graph

Timbr is the semantic graph layer for data engineers to integrate and query data sources,
give business meaning to data, power graph analytics in SQL and accelerate delivery of data projects

Agile data modeling

Data Virtualization

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

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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.

How can we serve you?

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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