Cirata

10/15/2026

70 TB initial migration. 20 TB of changes per week. 0 production disruption.

Sanlam is a 100+ year old financial services group across Africa, India, and beyond, and they needed high availability for their Cloudera Data Platform. The DR environment had to stay in sync with constantly-changing production data.\

Cloudera Replication Manager and DistCp couldn't do it. Both run on schedules. Both compete with production for resources. Both leave gaps. Cirata's solutions replicates changes as they happen, while supporting near-zero RPO and RTO. And the DR environment now does double duty as extra capacity for analytics, AI, and ML.

"We were impressed with Cirata's unique capabilities for real-time replication without disrupting our production environments."
— Jacques Joubert, Big Data Manager and Architect, Sanlam

https://cirata.com/case-study/Sanlam-disaster-recovery-implementation

10/14/2026

Today Cirata announced its Q3 FY26 trading update.

View the RNS:
https://polaris.brighterir.com/public/cirata_plc/news/rns_widget/story/xj4zdox

Quarterly CEO update video:
https://stream.brrmedia.co.uk/broadcast/6ace48ef3d991d0013d4ff97

10/13/2026

Every major platform supports Iceberg. Moving a table from one catalog to another is still a project.

The Cirata Symphony Ice Flow makes it a configuration with Hive, Glue, Iceberg REST, Nessie and more, any pair, either direction, on prem or cloud. The full snapshot history travels with the table, so time travel works on the target exactly as it did on the source. Then it proves the move, and had built in consistency checks return pass or fail, table by table.

Learn more here: https://cirata.com/symphony/extensions

10/12/2026

Is your organization unknowingly carrying the weight of AI debt? This silent disruptor, rooted in incomplete digital transformations, fragmented data systems, and rushed AI deployments, could be stifling your innovation and efficiencies, and inflating costs.

Latest insights from McKinsey and Cisco reveal the staggering impact behind this debt:

• 𝟱𝟬-𝟳𝟬% 𝗼𝗳 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗱𝗮𝘁𝗮 𝗿𝗲𝗺𝗮𝗶𝗻𝘀 𝘀𝗶𝗹𝗼𝗲𝗱, delaying projects and inflating budgets by 𝟮𝟬-𝟱𝟬%.
• 𝟴𝟯% of organizations plan to roll out AI agents, but only 𝟭𝟵% have centralized data for AI, while 𝟮𝟴% admit their infrastructure can't scale.
• Security gaps and talent shortages further 𝗮𝗺𝗽𝗹𝗶𝗳𝘆 𝘁𝗵𝗲 𝗿𝗶𝘀𝗸𝘀.

The solution? Addressing AI infrastructure debt head-on. Solutions like Cirata Symphony are paving the way, enabling seamless data orchestration, reducing silos, and accelerating AI readiness, all while delivering 𝟮𝟬-𝟯𝟬% 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 𝗴𝗮𝗶𝗻𝘀.

The future of AI is already here. Are you ready to embrace it without the baggage, read more in our latest article here: https://cirata.com/news-events/blog/artificial_intelligence/dont-let-ai-debt-derail-your-innovation

10/09/2026

Friday data fact: By 2030, CIOs expect that 0% of IT work will be done by humans without AI, 75% will be done by humans augmented with AI, and 25% will be done by AI alone, according to a Gartner survey.

www.cirata.com

10/08/2026

Another week, another reminder of how vulnerable interconnected retail systems can be.

The recent incident at ASOS highlights a challenge facing every major retailer: protecting customer trust in an increasingly complex data environment. Modern retail depends on data moving continuously between platforms, applications, suppliers and cloud environments.

That creates enormous opportunities for innovation. But it also introduces operational risk.

1. For retail CEOs and their boards, three questions are worth asking:
Do we know where our most critical data resides and how it moves between systems?

2. Can we maintain essential operations if a critical system or data environment is compromised?

3. How quickly could we recover without losing data, disrupting customers or damaging trust?

Cybersecurity remains essential. But preventing attacks is only part of the equation. Understanding data dependencies, maintaining control and building operational resilience are equally important.

AI is mind-blowing in its potential, but it also creates very real dangers in the hands of bad actors. As AI increases the speed and sophistication of cyber threats, resilience becomes even more important, not just for retailers and banks, but for the critical infrastructure we all depend on, from hospitals to energy and water. The question for boards is increasingly not simply, “Can we prevent an attack?” but, “Can our organization continue operating and recover quickly when something gets through?”

At Cirata, we believe resilience needs to be designed into the data infrastructure itself.
Because ultimately, resilience is about protecting the services, operations and customer trust that businesses depend on.

https://www.bbc.co.uk/news/articles/cj62ylzpr6d3o

Asos confirmed an "unauthorised customer notification" was sent out via its app on Tuesday, after users raised alarm.

10/07/2026

AI at scale requires more than experimentation, it requires trusted, governed, and accessible data across environments.

Cirata helps enterprises modernize data movement and orchestration without downtime, enabling AI teams to build with confidence.

Explore how data leaders enable AI at scale. www.cirata.com/data-management/solutions/ai-enablement

10/06/2026

Explore Cirata Symphony free on our environment with the Ice Flow extension and on our data. Run a replication yourself, then tour other extensions such as governance, sovereignty, and observability.

Start free trial: www.cirata.com/landing/cirata-symphony-trial

10/05/2026

AI doesn’t live in one place, and your data shouldn’t either.

Cirata enables unified data access across on-prem, cloud, and multi-cloud environments, without costly and disruptive in-house migrations.
One data strategy. Endless AI possibilities. Discover how Cirata powers AI everywhere.

www.cirata.com/data-management/solutions/ai-enablement

10/02/2026

Friday data fact: Worldwide end-user spending on AI models and platforms is projected to total $64 billion in 2026, up 63.4% from $39 billion in 2025, according to Gartner, Inc. Spending on GenAI models is forecast to grow 117%, while AI platform spending will rise 36.9% in 2026.

www.cirata.com