vs

Snowflake vs VeloDB

Snowflake: Fully managed cloud data warehouse with separate storage and compute, now spanning AI and apps. VeloDB: Commercial cloud and enterprise distribution of Apache Doris from its core maintainers.

key differences

  • Snowflake is built for larger datasets (Multi-PB) than VeloDB (≤ 1 PB).
  • Transactions: Snowflake offers full ACID; VeloDB offers limited.
  • Only Snowflake has transactions, change data capture, stored procedures, time travel, branching.
  • Only VeloDB has secondary indexes, ttl / expiry.
  • Snowflake has a serverless option; VeloDB does not.

choose snowflake for

  • +Enterprise data warehouse
  • +ELT pipelines with dbt
  • +Cross-company data sharing
  • +BI and reporting at scale

best at · Warehouse, OLAP, Lakehouse

choose velodb for

  • +Managed real-time analytics
  • +Log analytics as an Elasticsearch alternative
  • +Lakehouse query acceleration

best at · Real-time analytics, OLAP, Observability

overview
Primary model
Columnar / OLAP
Columnar / OLAP
Also supports
Relational, Document, Vector, Spatial
Relational, Document, Search Engine, Vector
Type
Managed service
Managed service
Status
Active
Active
Developer
Snowflake Inc.
VeloDB
First release
2014
2022
Latest version
–
–
License
ProprietaryProprietary
ProprietaryProprietary (on an Apache-2.0 Doris core)
Free tier
—
—
popularity
WhichDB Score
74.4
2.3
Rank
#7
#485
GitHub stars
–
–
Stack Overflow questions
12.2K
–
scale & guarantees
Comfortable data size
Massive (Multi-PB)
Large (≤ 1 PB)
Horizontal scaling
Native
Native
Multi-region
Read replicas
None
ACID
Full
Limited
Consistency
Strong
Strong
Schema
Flexible
Flexible
Architecture
Distributed, Shared storage, Serverless
Distributed, Shared storage
deployment
Self-hosted
—
✓
Vendor-managed cloud
✓
✓
Serverless
✓
—
Embedded
—
—
Edge
—
—
Clouds
AWS, Azure, Google Cloud
AWS, Google Cloud, Azure, Alibaba Cloud
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
SQL, Snowflake Scripting, Python (Snowpark), JavaScript
SQL (MySQL dialect)
Client languages
Python, Java, JavaScript, Go, .NET, C, PHP
Java, Python, Go, JavaScript
Best for
Warehouse, OLAP, Lakehouse
Real-time analytics, OLAP, Observability, Lakehouse

Snowflake vs VeloDB: FAQ

What is the difference between Snowflake and VeloDB?

Snowflake: Fully managed cloud data warehouse with separate storage and compute, now spanning AI and apps. VeloDB: Commercial cloud and enterprise distribution of Apache Doris from its core maintainers. Snowflake is built for larger datasets (Multi-PB) than VeloDB (≤ 1 PB). Transactions: Snowflake offers full ACID; VeloDB offers limited. Only Snowflake has transactions, change data capture, stored procedures, time travel, branching.

When should I choose Snowflake over VeloDB?

Choose Snowflake for enterprise data warehouse, ELT pipelines with dbt and cross-company data sharing. Choose VeloDB for managed real-time analytics, log analytics as an Elasticsearch alternative and lakehouse query acceleration.

Is Snowflake or VeloDB more popular?

Snowflake ranks #7 on the WhichDB Score (74.4/100) and VeloDB ranks #485 (2.3/100). Popularity is not fit: check the requirements that matter for your project.

Are Snowflake and VeloDB open source?

No. Snowflake is proprietary, closed-source software. No. VeloDB is proprietary, closed-source software.