PARTNERSHIP IONOS
Tachyon Intelligence Platform
Enterprise data lakehouse. Without hyperscaler cost escalation.
1Digit has architected and delivered a data warehousing platform in partnership with IONOS. We are a technology provider to IONOS, not merely a reseller.
Trino Kafka Superset Iceberg Kubernetes Open Table Formats
THE COST PROBLEM
Why Organisations Move Away
When data grows, cost grows faster. Hyperscaler data warehousing is powerful, but the economics work against you at scale.
01
Consumption-Based Billing
Query costs scale with usage, not value. As analytical demand grows, bills accelerate unpredictably.
02
Escalating Storage Costs
Proprietary formats and tiered pricing mean storage costs compound as data volumes increase.
03
Expensive AI Expansion
AI and ML workloads demand significant compute. Hyperscaler per-query billing makes experimentation costly.
04
Egress and Lock-In Fees
Moving data out, or moving away, comes with significant financial and technical friction.
THE TACHYON DIFFERENCE
Built for Technical and Financial Scale
40–60%
Lower Infrastructure Cost
Compared to equivalent hyperscaler-based warehouse deployments.
Six-Figure
Annual Savings at ~50TB
Indicative annual cost reduction at 50TB monthly processing scale.
Up to 60%
AI/ML Cost Reduction
Lower infrastructure and efficient processing for machine learning workloads.
- Transparent, predictable pricing with no consumption surprises
- Lower baseline infrastructure cost than hyperscaler equivalents
- Predictable billing that scales linearly with data volume
- No egress fees within IONOS network
- Open-source stack eliminates licensing premiums
- Compute scales independently of storage
Not cheap cloud. Cost-efficient enterprise infrastructure.
COST COMPARISON
Indicative Cost Comparison
Scenario
Hyperscaler + Snowflake
Tachyon on IONOS
Indicative Savings
50TB Monthly Analytics
Enterprise analytical workloads
High compute credit consumption with escalating per-query costs
Optimised infrastructure model with predictable pricing
40–60%
AI/ML Workloads
Model training and inference
Escalating per-query billing with expensive compute provisioning
Lower infrastructure cost with efficient processing architecture
Up to 60%
Scaling to 200TB
Growing data estates
Non-linear cost growth with compounding storage and compute fees
Predictable infrastructure scaling with linear cost progression
Significant
50TB Monthly Analytics
Enterprise analytical workloads
Hyperscaler + Snowflake
High compute credit consumption with escalating per-query costs
Tachyon on IONOS
Optimised infrastructure model with predictable pricing
Indicative Savings
40–60%
AI/ML Workloads
Model training and inference
Hyperscaler + Snowflake
Escalating per-query billing with expensive compute provisioning
Tachyon on IONOS
Lower infrastructure cost with efficient processing architecture
Indicative Savings
Up to 60%
Scaling to 200TB
Growing data estates
Hyperscaler + Snowflake
Non-linear cost growth with compounding storage and compute fees
Tachyon on IONOS
Predictable infrastructure scaling with linear cost progression
Indicative Savings
Significant
Six-figure annual savings at ~50TB monthly processing scale.
Savings indicative. Based on benchmark comparisons vs hyperscaler-based warehouse deployments.
ARCHITECTURE
What You Get
1
Infrastructure // IONOS + Kubernetes
European sovereign cloud with container orchestration. Your data never leaves EU jurisdiction.
2
Ingestion // Tachyon
Our data structuring engine transforms raw, fragmented data into governed, analytics-ready assets at speed.
3
Pub-Sub // Kafka
Real-time message streaming and queuing. High-throughput event processing with guaranteed delivery.
4
Data Lake // IONOS Object Storage + Iceberg
S3-compatible sovereign storage with Apache Iceberg open table format. No vendor lock-in, full portability.
5
Analytics // Trino
Distributed SQL query engine for sub-second analytics across your entire data lake at any scale.
6
Visualisation // Superset + ML
Self-service dashboards, interactive exploration, and machine learning. The layer your business users see.
Cost Efficiency
Significantly lower total cost of ownership compared to hyperscaler data warehousing solutions. Pay for what you use, not what you provision.
European Data Sovereignty
Data stays in Europe. GDPR-aligned infrastructure with no transatlantic data transfers required.
Enterprise-Grade Performance
Distributed query execution, intelligent caching, and optimised storage for analytical and AI workloads at scale.
SaaS-Like Simplicity
A managed lakehouse experience without the operational complexity. Focus on data, not infrastructure management.
AI-Optimised Architecture
Built for AI workloads from the ground up. Feature stores, model serving, and vector operations are first-class citizens.
Open Standards
Built on open table formats and open-source technologies. No proprietary lock-in, full data portability.
USE CASES
Built For
The Tachyon Intelligence Platform is designed for organisations that need cost-efficient data infrastructure for analytics and AI.
AI & Machine Learning
Centralised, governed data estate that feeds AI models with clean, timely, structured data at scale, at a fraction of hyperscaler compute cost.
Business Analytics
Self-service analytics across your entire data landscape with sub-second query performance and predictable infrastructure costs.
Data Consolidation
Bring fragmented data from legacy systems, SaaS tools, and operational databases into one governed platform without egress penalties.
Regulatory Compliance
European-sovereign data infrastructure with built-in governance, lineage, and audit capabilities. Cost-efficient by design.
COMING SOON
Personalised Cost Calculator
Model your data infrastructure costs and see an indicative comparison between hyperscaler-based warehousing and the Tachyon Intelligence Platform on IONOS.
Enter your data volumes, query patterns, and workload types to receive a tailored cost estimate.
Get an Estimate Now COMING SOON
50
10,000
Medium
Ready to Reduce Your Data Infrastructure Costs?
Compare the Tachyon Intelligence Platform against your current hyperscaler spend.