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Artificial Intelligence | Machine Learning | Machine Perception Databand.ai | Observability for Data & ML Pipelines


Enterprise, Information Services, Technology, Data Platform, Data Processing New York, NY, United States

Databand.ai

Artificial Intelligence | Machine Learning | Machine Perception


Databand.ai | Observability for Data & ML Pipelines

Databand.ai

Information Services, Technology, Data Platform, Data Processing


New York, NY, United States

Databand is an observability platform for data engineering teams. Data engineering teams are responsible for managing a wide suite of powerful tools but lack the utilities they need to make sure their ops are running properly. Databand fills this gap with a solution that enables teams to gain a global view of their data flows, make sure pipelines complete successfully, and keep tabs on resource consumption and costs. Databand fits natively in the modern data stack, plugging seamlessly into tools like Apache Airflow, Spark, Kubernetes, and various ML offerings from the major cloud providers.

Gain unified visibility for pipelines running on cloud-native tools like Apache Airflow, Apache Spark, Snowflake, BigQuery, and Kubernetes. An observability platform purpose-built for Data Engineers. Databand is a series A stage startup operating at the cutting edge of Data Engineering technology. Our mission is to help organizations build better data products and trust in their data. We do that by providing data teams comprehensive visibility into the health of their data pipelines. Thanks to our deep monitoring they can be confident in their quality data and respond proactive

 

B2B

26 to 50

Series A

$18.5 M

Scaling Up

2018

 
 

Technology
Information Services

Inconsistency
Blind Spots
Fragmentation

Centralized Tracking
Complete Visibility
Reliable Results
Increase Efficiency

 
 

Analytics
IT and Security
Service

Yes

Active

 
 

   Machine Learning
   Machine Perception


Luigi

Luigi

Airflow

Airflow

Jira

Jira

Oozie

Oozie

Docker

Docker

Kubernetes

Kubernetes

Docker Composer

Docker Composer


Audio

Audio

Text

Text

Time Series

Time Series

Semi-Structured

Semi-Structured

Structured

Structured

 

   Software


Jenkins

Jenkins

Gitlab

Gitlab

Azure

Azure

SQL

SQL

NoSQL

NoSQL

Snowflake

Snowflake

Redshift

Redshift

Elastic Search

Elastic Search

Presto

Presto

Spark

Spark

Python

Python

AWS

AWS

Java

Java


N/A

 
 

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7

1

$14.5 M

Company was founded 2018 and it took almost 2 years (Dec 2020) to raise first external round

 
 

Date

Round

$ Raised

Investors

12/01/2020

Series A

$14.5 M

, , , Lerer Hippeau, , , F2 Venture Capital

Date : 12/01/2020

Round: Series A

$ Raised: $14.5 M

Investors: , , , Lerer Hippeau, , , F2 Venture Capital

 
 
Josh Benamram


Josh Benamram
Co-Founder & CEO

Evgeny Shulman


Evgeny Shulman
Co-Founder

Victor Shafran


Victor Shafran
Co-Founder