Selections: Data Management for Business Clarity

In 2022, businesses cannot afford to pass up the opportunities afforded by utilising data. However, the risks associated with handling large amounts of data – threat of leaks, navigating GDPR, and general disorganisation – are not inconsiderable and can end up extremely costly. Therefore, it is vital that companies have excellent systems in place to manage their data. Take a look at the below companies to see how they help enterprises with Data Management.


2018 founded, $14.5m raised, 25-50 employees, Israel-based

Client snapshot:

agoda, Fanduel, OptimalIQ, orbotech, Shipper, trax

What do they do?

Databand provides a software platform for agile machine learning development. It helps data scientists and engineers build solutions fast, iterate easily, and productise improvements. With Databand, engineers can isolate data errors at the first stages of integration and alert stakeholders so issues can be addressed before they become bigger issues. 

Why we’re interested?

The mission of any data team is to ensure that data meets quality standards, business stakeholders are satisfied, and jobs can execute without a problem. For companies which depend on such data flows, this can be a real challenge. Databand helps engineers to scale their infrastructure while maintaining data health standards to build better products. Databand easily integrates into cloud platforms such as AWS, Snowflake, Azure, Apache Spark, and more.

Databand raised a $14.5m Series A in December 2020 led by Accel Ventures. They were recognised as a top Data Observability Platform by Analytics India Magazine in September 2021.  They also provide a quality blog featuring helpful guides around how to navigate complex data problems which would be a boon to any data team.

2016 founded, $29.6m raised, 50-100 employees, US-based

Client snapshot:

Okera do not disclose their clients, however their customers include three of the largest financial services companies and one of the top two global retail brands in the Fortune 100.

What do they do?

Okera offers a common set of authorisation policies which will be applied equally anywhere data is found. Through these policies, Okera simplifies and standardises access controls. These controls enforce data security and privacy policies whilst accelerating compliance reporting.

Why we’re interested

Okera allows organisations to automate data discovery and classification and can filter, hide, and mask sensitive data for each access request. In November 2021, they expanded their capabilities with AWS, allowing for further integrations Okera for Amazon EMR will allow clients to protect confidential data on Amazon Simple Storage Service. Okera will be expanding its platform-specific editions with Okera for Snowflake in early 2022.

Okera have raised $29.6m across four rounds. Most recently, they raised a $15m Series B in June 2020. Founder and CEO Nick Halsey was previously the President & CEO of Zoomdata and currently sits on the advisory board of Gemini Data.

2017 founded, $5.5m raised, 25-50 employees, Ireland-based

Client snapshot:

Apiax, BN Bank, Capital One, GitHub, ING

What do they do?

TerminusDB is an open-source full-featured in-memory graph database which allows for efficient and private control over revision. TerminusDB allows users to manage access to databases and work collaboratively on shared projects. With easy querying, cleaning, and visualisation, the ability to work locally and sync, and flexible data storage, sharing, and versioning capabilities, TerminusDB offers a powerful solution for data management.

Why we’re interested

Being built on an open-source system means that internal data teams can tailor the platform to their specific needs. TerminusDB helps teams to structure data to meet business needs and reduce the code requirements to display and manipulate data. They offer an in-depth guide to their services via their notion page and have an active community on Discord to assist with any specific queries you may have.

TerminusDB raised a €3.6m Seed round led by Acequia Capital in March 2021. Prior to founding TerminusDB, the company’s founder and CEO, Kevin Feeney, worked as a Senior Research Fellow in the School of Computer Science and Statistics at Trinity College Dublin and bring the weight of their research experience to building world-class graph database software.

2019 founded, €2.0m raised, 25-50 employees, France-based

Client snapshot:

Clear Channel, Monoprix

What do they do?

YZR is a data normalisation service which enables businesses to prepare their own data. They make data standard, labelled, and matched, even without top-down instructions. This preparation is performed through an API which can be integrated into any data infrastructure.

Why we’re interested

YZR’s solution does not seek to understand data, but rather analyse whether two words are the same, allowing for more effective grouping and normalisation. Their data normalisation platform has a number of use cases including cleaning B2B client databases, standardising and enriching product descriptions, and adding intelligent and automatic tags to product information. In doing so, YZR effectively automates the product data quality improvement, which allows companies to better manage product categories and offers a high potential for growth.  In January 2021, YZR secured €2m in funding from angel investors including Frédéric Mazzella, founder of Blablacar, and Jean-Baptiste Rudelle, founder of Criteo. With this angel funding, they hope to establish themselves as Europe’s leader in data normalisation as well as expand into the United States.

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