AWS Athena replacement for better price performance
Comparing Presto Services: Looking at Amazon Athena and Ahana Cloud
Serverless Presto
Easy to manage
- Built for less experienced data teams
- Serverless – easy to get started
- Little visibility, control of your deployment
- Cost effective for low/infrequent usage on small to medium sized data volumes
Managed Service for Presto
Full flexibility, easy to manage
- Built for data teams of all experience levels
- Managed service – easy to get started
- Moderate level of control of deployment without the complexity
- Dedicated support from Presto experts
Case Studies
See why companies use Ahana Cloud for Presto
5.5X price performance improvement
AWS Athena
- No control over the compute engine
- Hard to run complex queries at higher scale
- Limited concurrency
- Queries may get queued up
Ahana Cloud
- 44% in cost savings in benchmark comparison across 8 complex queries
- 5.5X price performance improvement
- Faster, more predictable queries that don’t stall or fail
- Scale Presto on demand to minimize costs
- More control and visibility into deployment
AWS Athena
- Hard to run complex queries and scale past a certain point
- Queries can be queued with no control over when
- Very limited concurrency as a result of queue
- Little visibility, control of deployment
Ahana Cloud
- 90% faster with a 10 node cluster, providing greater than 5x price performance comparisons
- Can scale to improve performance to many times faster
- No more failing queries
- More control and visibility into deployment
3x better price performance
The Presto engine was designed for scale, and it’s feature-built just for a query engine. Ahana Cloud made it easy for us to use Presto in the cloud.”
AWS Athena FAQ
Why does a single AWS Athena query get stuck in QUEUED state before being executed?
Why am I getting zero records when I use AWS Athena to query a CSV file?
Do I have to use AWS Lambda to connect to data sources with Athena?
How do I get deterministic performance out of Amazon Athena?