Real-time Data

Real-time Insights

Set Your Data
in Motion

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“Synthesis is Confluent's trusted partner, having successfully established a data streaming platform that sets Data in Motion across organisations in South Africa.”

Jack BinghamEnterprise Account Executive, UKI & Africa

“Through our arrangement with Synthesis, we were able to very quickly onboard very effective engineers who were able to assist us with defining the solution, rolling it out, as well as optimising the throughput of the solution while still being able to deliver the project on time.”

Nic Mouyis Group Senior Development Manager

Some of

Our Clients

Standard Bank

Absa

Vodacom

Seacom

Vitality Group

Woolworths Financial Services

Benefits

Event streaming unlocks new use cases and benefits specific to just about every industry, but a few of the most common are:

Cost Savings

Saving costs by doing more, with less, and with greater agility, which helps lower the bottom line

Improved Customer Experience

Improving the customer experience, managing data in real time, and driving loyalty, which in turn drives up revenue.

Risk Mitigation

Mitigating risk with a capability such as fraud detection and prevention—ultimately another money saver

Special Offers

Confluent Kafka Assessment

Get instantly competent with our Apache Kafka® training custom-designed for your business and use cases.

We deliver customised Apache Kafka® training designed for your team, your industry and your projects.

Real-World Kafka Training

Turn-key Solutions

Why Synthesis

As Confluent’s partner of choice, we ensure you can take full advantage of your data.

We have a team of recognised local talent with a proven delivery track record.

Because of this, our Confluent specialists have been chosen as the only African partner to present at Confluent events and appear on their podcast to showcase our learning.

We have deep Confluent, Kafka, security and event streaming expertise with a speciality in cloud-native reactive applications.

Plus, we have done this before, and a lot.

Real-time Data