Allium vs Artemis: build your own metrics on raw, decoded data

Compare Allium and Artemis across data accuracy, compliance, scalability, and institutional readiness

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Allium deviates 0.000011% from ground truth node data, vs 7.2% for community platforms (source)

How Allium and Artemis Differ

Artemis is built for pre-built metrics and dashboards. Allium is built for custom metrics on raw data, in your warehouse, with SOC 1 and SOC 2 Type I and II.

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Artemis is a crypto analytics platform focused on pre-built metrics and dashboards that answer common onchain questions without requiring users to build queries or pipelines.

Pre-built dashboards and metrics are your primary need
You want answers without defining metrics or models yourself.

Curated insights are preferred over raw data access
You’re comfortable relying on predefined methodologies.

Research, reporting, or ecosystem visibility are the main use cases
Dashboards are used for publications, presentations, or monitoring trends.

You don’t need data in your own warehouse
Analytics live within the product rather than internal systems.

Data lineage and audit requirements are limited
You’re exploring onchain activity without strict compliance constraints.

Allium provides raw, standardized blockchain data with pre-decoded schemas, direct warehouse delivery (Snowflake, BigQuery, Databricks), and enterprise-grade data infrastructure.

First-party, raw blockchain data
Direct access to the underlying data rather than curated metrics.

Custom metrics and analysis flexibility
Ability to define proprietary logic beyond pre-built dashboards.

Direct warehouse delivery
Data integrated into internal analytics stacks and workflows.

Data provenance and auditability
Clear sourcing, consistent definitions, and defensible outputs.

Enterprise reliability and SLAs
Production-grade infrastructure with dedicated support.

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Allium vs Artemis, feature by feature

Data accuracy

0.000011% deviation (KTH validated)

Aggregated from multiple data providers

Pre-decoded schemas

10,000+ schemas ready to query

Metrics-level abstractions

Warehouse delivery

Snowflake, BigQuery, Databricks

Not offered

Real-time streaming

Kafka, PubSub, SNS (streams in seconds)

Not offered

API performance

50-100ms, scales to 100K+ QPS

Metrics-focused APIs

Uptime SLA

99.9% with dedicated support

Limited, case-by-case

SOC certification

SOC 1 and SOC 2 Type I and II

Not certified

Transaction-time pricing

Exact block-level prices

Not offered

Community dashboards

Available

Core strength

Social distribution

Growing

Core strength

Protocol coverage

10,000+ protocols

Broad coverage via aggregation

Which to choose

When should you choose Artemis over Allium?

Pre-built dashboards and metrics are your primary need You want answers without building queries or defining metrics yourself.

Curated views matter more than raw data access
You’re comfortable using predefined methodologies and abstractions.

Research, reporting, or ecosystem visibility are your main use cases Dashboards are used for publications, presentations, or high-level insights.

You don’t need data in your own warehouse
You’re not running internal analytics, models, or production pipelines.

Data lineage, sourcing, and auditability are not critical You’re exploring onchain activity without institutional or compliance constraints.

When should you choose Allium over Artemis?

Independently validated blockchain data accuracy, measured at 0.000011% deviation from ground truth

Pre-decoded blockchain data schemas (10,000+) without writing SQL from scratch

Direct warehouse delivery to Snowflake, BigQuery, or Databricks

Real-time blockchain data streaming via Kafka for monitoring and alerts

SOC-certified data infrastructure for compliance and audit workflows

Dedicated enterprise support and SLAs for production use cases

Transaction-time pricing and accounting data designed for GAAP-compliant reporting

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FAQ

What is the difference between Allium and Artemis?

Artemis provides curated metrics and dashboards. Allium provides raw blockchain data that teams can use to build their own metrics and analytics.

Which is better for institutional use cases?

Allium is designed for institutional requirements like data provenance, auditability, warehouse delivery, and SLAs.

Can Allium deliver data to Snowflake or BigQuery?

Yes. Allium offers native datashares to Snowflake, BigQuery, and Databricks, so your analytics team can query blockchain data in the warehouse they already use, without engineering work.

Can teams use both Allium and Artemis?

Yes. Some teams use Artemis for exploration and reporting, and Allium for production analytics, modeling, and internal data workflows.