vs

Axiom vs Hydrolix

Axiom: Managed event and telemetry store with schema-on-read ingest and the piped APL query language. Hydrolix: Streaming data lake for log-scale event data, with ClickHouse-based SQL over object storage.

key differences

  • Only Axiom has full-text search, encryption at rest.
  • Only Hydrolix has secondary indexes.
  • Axiom has a serverless option; Hydrolix does not.

choose axiom for

  • +Application and serverless logs
  • +OpenTelemetry traces for startups
  • +Product and security event analytics
  • +Edge and CDN logs

best at · Observability, Real-time analytics, Time-series

choose hydrolix for

  • +CDN and edge log analytics
  • +Security and bot detection data
  • +Video streaming quality telemetry
  • +Long-term retention of SIEM-scale logs

best at · Observability, Real-time analytics, Time-series

overview
Primary model
Columnar / OLAP
Columnar / OLAP
Also supports
Time-Series, Search Engine
Time-Series
Type
Managed service
Database engine
Status
Active
Active
Developer
Axiom, Inc.
Hydrolix
First release
2020
2020
Latest version
–
6.4.14 (Oct 23, 2026)
License
ProprietaryProprietary SaaS
ProprietaryProprietary
Free tier
✓
—
popularity
WhichDB Score
10.9
0.2
Rank
#290
#667
GitHub stars
–
–
Stack Overflow questions
–
–
scale & guarantees
Comfortable data size
Massive (Multi-PB)
Massive (Multi-PB)
Horizontal scaling
Native
Native
Multi-region
None
None
ACID
None
None
Consistency
Eventual
Eventual
Schema
Schemaless
Strict
Architecture
Serverless, Distributed, Shared storage
Distributed, Shared storage
deployment
Self-hosted
—
✓
Vendor-managed cloud
✓
✓
Serverless
✓
—
Embedded
—
—
Edge
—
—
Clouds
AWS
AWS, Google Cloud, Azure, Akamai
capabilities
Transactions
—
—
Joins
✓
✓
Secondary indexes
—
✓
Full-text search
✓
—
Vector search
—
—
Geospatial
—
—
JSON
✓
✓
Change data capture
—
—
Triggers
—
—
Stored procedures
—
—
Materialized views
—
—
TTL / expiry
✓
✓
Pub/Sub
—
—
Columnar storage
✓
✓
In-memory
—
—
Durable persistence
✓
✓
Compression
✓
✓
Encryption at rest
✓
—
Role-based access
✓
✓
Time travel
—
—
Branching
—
—
Online schema changes
—
—
Streaming ingest
✓
✓
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
APL, MPL
SQL (ClickHouse dialect)
Client languages
Go, JavaScript, Python, Rust
Java, Python
Best for
Observability, Real-time analytics, Time-series
Observability, Real-time analytics, Time-series, OLAP

Axiom vs Hydrolix: FAQ

What is the difference between Axiom and Hydrolix?

Axiom: Managed event and telemetry store with schema-on-read ingest and the piped APL query language. Hydrolix: Streaming data lake for log-scale event data, with ClickHouse-based SQL over object storage. Only Axiom has full-text search, encryption at rest. Only Hydrolix has secondary indexes. Axiom has a serverless option; Hydrolix does not.

When should I choose Axiom over Hydrolix?

Choose Axiom for application and serverless logs; OpenTelemetry traces for startups; and product and security event analytics. Choose Hydrolix for CDN and edge log analytics; security and bot detection data; and video streaming quality telemetry.

Is Axiom or Hydrolix more popular?

Axiom ranks #290 on the WhichDB Score (10.9/100) and Hydrolix ranks #667 (0.2/100). Popularity is not fit: check the requirements that matter for your project.

Are Axiom and Hydrolix open source?

No. Axiom is proprietary, closed-source software. No. Hydrolix is proprietary, closed-source software.