One real-time platform for transactions, analytics, and AI agents.
Stop stitching together five systems to get a live view of your business. MariaDB + GridGain gives fraud, risk, and personalization engines sub-millisecond, always-current data — implemented, migrated, and supported locally by ComputingEra.
The gap between your data and your AI strategy just closed.
MariaDB completed its acquisition of GridGain in March 2026, unifying transactional processing, real-time analytics, and in-memory computing into a single AI-ready platform. Here's why that matters for Saudi enterprises right now.
Vision 2030 raised the bar
SDAIA and the national AI agenda push every regulated enterprise toward sovereign, AI-ready data infrastructure — most haven't mapped that mandate onto their database architecture yet.
Fragmented stacks create lag
A separate RDBMS, caching layer, and analytics engine means ETL delay between a transaction happening and a decision being made on it.
Legacy licensing is expensive
Oracle Exadata and Teradata-class costs are hard to justify for workloads that just need to be fast and current — not necessarily that heavy.
Open-source Ignite lacks a safety net
Self-managed Apache Ignite deployments run without an enterprise SLA, security hardening, or a regional support partner — until now.
Built for organizations that can't afford stale data.
Five reasons Saudi enterprises are evaluating MariaDB + GridGain as their real-time data foundation — including what analysts call Converged HTAP: running transactions and analytics against the same live data, with no separate pipeline in between.
Sub-millisecond performance, delivered locally
In-memory, colocated compute gives fraud detection, risk scoring, and personalization engines a live 360° view instead of an overnight batch — implemented and supported by a KSA-based ComputingEra team.
The grounding layer for agentic AI
Native vector search, MCP server integration, and AI framework connectors mean your AI agents reason against live operational data — not stale exports.
Lower total cost of ownership
One consolidated platform replaces an RDBMS, a separate in-memory grid, and a bolt-on analytics engine — fewer licenses, less integration risk, less specialist headcount.
Enterprise-grade, not experimental
For organizations running self-managed Apache Ignite today, MariaDB + GridGain adds a commercial SLA, security hardening, and a regional support partner — removing key-person and compliance risk.
Zero-code acceleration
Deployed as a transparent intermediary between your applications and your database — no application rewrites, no code changes. Point existing workloads at the same interface and get sub-millisecond performance on the systems you already have in production.
One grid, four layers, built for every access pattern.
Every workload — SQL, key-value, streaming, or AI/ML — runs against the same colocated in-memory grid, backed by durable persistence. This is the architecture underneath every pillar above.
Compute
Where sub-millisecond data changes the outcome.
ComputingEra works with Saudi enterprises across these sectors to put a real-time data layer under their most latency-sensitive workloads.
Banking & Finance
Real-time fraud & risk scoring, 360° customer view
Telecom
Real-time network & customer-experience analytics
Logistics
Real-time tracking, predictive ETAs, dynamic routing
Quick-Commerce & Delivery
Real-time order-rider matching & dispatch optimization
Retail
Real-time POS analytics & omnichannel inventory
Aviation
Real-time dynamic pricing & disruption prediction
Public Sector
Sovereign, scalable infrastructure for national AI initiatives
Fintech & Payments
Sub-millisecond fraud detection at payment-rail scale
Not sure where you fit?
Let's map your workload — book a briefing
Systems demand doesn't spike gradually. It spikes hard, on predictable dates.
MariaDB + GridGain's distributed architecture scales out horizontally across nodes — and geo-distributes across regions — to absorb seasonal surges, then scales back down. No provisioning peak-season hardware that sits idle the other eleven months.
A platform already trusted at global scale.
GridGain's in-memory technology — now unified with MariaDB — already runs mission-critical, latency-sensitive workloads for organizations including:
"We dramatically reduced our data processing times — transforming complex analysis and mid-project changes that once took minutes into near-instant outcomes."Tara Drover, CIO at Hatch
One real-time platform for transactions, analytics, and AI agents.
Stop stitching together five systems to get a live view of your business. MariaDB + GridGain gives fraud, risk, and personalization engines sub-millisecond, always-current data — implemented, migrated, and supported locally by ComputingEra.
The gap between your data and your AI strategy just closed.
MariaDB completed its acquisition of GridGain in March 2026, unifying transactional processing, real-time analytics, and in-memory computing into a single AI-ready platform. Here's why that matters for Saudi enterprises right now.
Vision 2030 raised the bar
SDAIA and the national AI agenda push every regulated enterprise toward sovereign, AI-ready data infrastructure — most haven't mapped that mandate onto their database architecture yet.
Fragmented stacks create lag
A separate RDBMS, caching layer, and analytics engine means ETL delay between a transaction happening and a decision being made on it.
Legacy licensing is expensive
Oracle Exadata and Teradata-class costs are hard to justify for workloads that just need to be fast and current — not necessarily that heavy.
Open-source Ignite lacks a safety net
Self-managed Apache Ignite deployments run without an enterprise SLA, security hardening, or a regional support partner — until now.
Built for organizations that can't afford stale data.
Five reasons Saudi enterprises are evaluating MariaDB + GridGain as their real-time data foundation — including what analysts call Converged HTAP: running transactions and analytics against the same live data, with no separate pipeline in between.
Sub-millisecond performance, delivered locally
In-memory, colocated compute gives fraud detection, risk scoring, and personalization engines a live 360° view instead of an overnight batch — implemented and supported by a KSA-based ComputingEra team.
The grounding layer for agentic AI
Native vector search, MCP server integration, and AI framework connectors mean your AI agents reason against live operational data — not stale exports.
Lower total cost of ownership
One consolidated platform replaces an RDBMS, a separate in-memory grid, and a bolt-on analytics engine — fewer licenses, less integration risk, less specialist headcount.
Enterprise-grade, not experimental
For organizations running self-managed Apache Ignite today, MariaDB + GridGain adds a commercial SLA, security hardening, and a regional support partner — removing key-person and compliance risk.
Zero-code acceleration
Deployed as a transparent intermediary between your applications and your database — no application rewrites, no code changes. Point existing workloads at the same interface and get sub-millisecond performance on the systems you already have in production.
One grid, four layers, built for every access pattern.
Every workload — SQL, key-value, streaming, or AI/ML — runs against the same colocated in-memory grid, backed by durable persistence. This is the architecture underneath every pillar above.
Compute
Where sub-millisecond data changes the outcome.
ComputingEra works with Saudi enterprises across these sectors to put a real-time data layer under their most latency-sensitive workloads.
Banking & Finance
Real-time fraud & risk scoring, 360° customer view
Telecom
Real-time network & customer-experience analytics
Logistics
Real-time tracking, predictive ETAs, dynamic routing
Quick-Commerce & Delivery
Real-time order-rider matching & dispatch optimization
Retail
Real-time POS analytics & omnichannel inventory
Aviation
Real-time dynamic pricing & disruption prediction
Public Sector
Sovereign, scalable infrastructure for national AI initiatives
Fintech & Payments
Sub-millisecond fraud detection at payment-rail scale
Not sure where you fit?
Let's map your workload — book a briefing
Systems demand doesn't spike gradually. It spikes hard, on predictable dates.
MariaDB + GridGain's distributed architecture scales out horizontally across nodes — and geo-distributes across regions — to absorb seasonal surges, then scales back down. No provisioning peak-season hardware that sits idle the other eleven months.
A platform already trusted at global scale.
GridGain's in-memory technology — now unified with MariaDB — already runs mission-critical, latency-sensitive workloads for organizations including:
"We dramatically reduced our data processing times — transforming complex analysis and mid-project changes that once took minutes into near-instant outcomes."Tara Drover, CIO at Hatch
Ready to see sub-millisecond data in action?
Book a 30-minute executive briefing with ComputingEra. We'll map MariaDB + GridGain to your actual architecture
no generic deck.
A live demo scenario relevant to your sector
An honest TCO comparison vs your current stack
No obligation - a technical conversation, not a pitch
Thank you for your feedback!
Our team will message you back as soon as possible.
In the meantime we invite you to visit our website.