Our ecosystem of technology partners Data & AI

Every company has a wealth of data. And every company has its own technologies. To meet demand, JEMS has developed more than 30 partnerships with software publishers.

Below you will find our main partners.

And since technologies evolve very quickly, we constantly anticipate upcoming evolutions thanks to our technology communities.

Data Acquisition

Acquisition is the critical entry point for data heritage. It involves capturing raw flows, whether structured or unstructured, to ensure a continuous and reliable supply to decision-making systems.

Microsoft Azure logo

Microsoft Azure

Blueway logo

Blueway

Cloudera logo

Cloudera

Google Cloud logo

Google Cloud

Hewlett Packard Enterprise logo

Hewlett Packard

Semarchy logo

Semarchy

SnapLogic logo

SnapLogic

Teradata logo

Teradata

TIBCO logo

TIBCO

Workato logo

Workato

Internet of Things

The IoT represents the extension of data heritage into the physical world. This layer enables real-time capture of field signals, transforming every connected object into a source of operational intelligence.

ThingsBoard logo

ThingsBoard

Data Management

Data Management forms the central engineering of data. It is the set of processes that structure, store, and process information to make it usable, scalable, and performant.

Blueway logo

Blueway

Denodo logo

Denodo

Google Cloud logo

Google Cloud

Semarchy logo

Semarchy

SnapLogic logo

SnapLogic

Teradata logo

Teradata

TIBCO logo

TIBCO

Workato logo

Workato

Data Governance

Governance is the trusted framework for data assets. It defines the rules for ownership, quality, and compliance (GDPR) to ensure that data remains a secure and valuable asset.

Microsoft Azure logo

Microsoft Azure

datagalaxy logo

DataGalaxy

Cloud Computing

The Cloud is the engine of agility for modern architectures. It offers the necessary computing power and storage flexibility to support the exponential growth of data volumes.

Microsoft Azure logo

Microsoft Azure

Cloudera logo

Cloudera

Databricks logo

Databricks

Google Cloud logo

Google Cloud

Snowflake logo

Snowflake

Teradata logo

Teradata

DevOps

DevOps is the catalyst for getting into production. By unifying development and operations, this culture guarantees the stability, speed, and security of deploying data applications.

Microsoft Azure logo

Microsoft Azure

HashiCorp Logo

HashiCorp

Digital

The Digital dimension is the interface between data and the user. It encompasses applications and platforms that translate technical complexity into fluid experiences that create business value.

Microsoft Azure logo

Microsoft Azure

Data Science

Data Science is the predictive intelligence layer of heritage. It uses Machine Learning and AI algorithms to extract hidden patterns and anticipate future behaviours.

Microsoft Azure logo

Microsoft Azure

Dataiku logo

Dataiku

DataRobot logo

DataRobot

Google Cloud logo

Google Cloud

Teradata logo

Teradata

Data Analytics

Data Analytics is the tool for interpreting heritage. Through visualisation and descriptive analysis (BI), it transforms numbers into clear indicators for driving business performance.

Microsoft Azure logo

Microsoft Azure

Google Cloud logo

Google Cloud

Hewlett Packard Enterprise logo

Hewlett Packard

Qlik logo

Qlik Sense

Teradata logo

Teradata

Microsoft Power BI logo

Power BI

TIBCO logo

TIBCO