Wasabi vs Backblaze vs ClickHouse (Agency Storage Cost vs Query Layer)
These three sit at different layers rather than competing head to head: Wasabi and Backblaze solve the cost and egress problem of holding client data, while ClickHouse solves the speed problem of querying it. The scoping question for an agency is whether the client engagement needs a cheap durable substrate, a fast analytical surface, or both, because pairing object storage with a columnar engine is usually cheaper than forcing either tool to do the other's job. Price the tuning hours before promising a self-hosted stack on a fixed retainer.
By InnovaAI ResearchPublished
Which should an agency choose?
Wasabi vs Backblaze vs ClickHouse (Agency Storage Cost vs Query Layer)
Wasabi
Best for: Agencies parking multi-terabyte client data lakes and archives where egress volume is unpredictable.- Flat-rate pricing with no egress or API request fees, which removes the surprise line items that blow up client retainer margins
- Up to 80 percent cheaper than hyperscaler object storage on comparable capacity
- Full white-label option lets an agency present storage as its own platform
- Object storage only, so any dashboard query layer has to be built or bought separately
- Minimum retention and deletion-policy terms need reading before scoping short-lived client projects
Backblaze
Best for: Agencies running a white-label neocloud offer for media or AI-heavy clients who need predictable per-terabyte billing.- B2 standard tier at $6.95/TB/month with free egress through partner arrangements
- B2 Neo and B2 Overdrive packaging built for agencies reselling storage under their own brand
- S3-compatible API keeps migration paths open if a client later moves
- Performance tiering means premium throughput costs more than the headline rate
- Less suited to sub-second analytical queries than a columnar engine
ClickHouse
Best for: Agencies building client-facing real-time reporting products where query latency is the deliverable.- Column-oriented OLAP engine returning millisecond results at petabyte scale for client dashboards
- Available as managed cloud on AWS, GCP, and Azure or self-hosted, so delivery model follows the engagement
- Handles real-time analytics and observability workloads that object storage cannot serve directly
- Self-hosted tuning is real engineering time that has to be priced into the retainer
- Not a storage-cost play; compute spend scales with query concurrency
These three sit at different layers rather than competing head to head: Wasabi and Backblaze solve the cost and egress problem of holding client data, while ClickHouse solves the speed problem of querying it. The scoping question for an agency is whether the client engagement needs a cheap durable substrate, a fast analytical surface, or both, because pairing object storage with a columnar engine is usually cheaper than forcing either tool to do the other's job. Price the tuning hours before promising a self-hosted stack on a fixed retainer.