Cloud · head to head
Longhorn vs Presto

Longhorn
Cloud
Open source distributed block storage for Kubernetes, incubating at the CNCF
- From
- Free
- Rated
- -

Presto
Databases
The Meta-lineage distributed SQL query engine, distinct from the Trino fork
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Longhorn there is no vendor and no SLA, so a production incident at three in the morning is your own problem unless you buy SUSE Rancher Prime support separately.; Presto the original creators and most of the active contributor base left for Trino in 2020, so Presto has the smaller community, fewer connectors and slower feature delivery of the two branches.
- They diverge on capability: Longhorn covers Per-volume controllers, Presto covers Federated querying.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which Longhorn and Presto actually diverge.
Identical on both: starting price (Free), pricing model (Open source, no licence fee), free tier (Yes), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Longhorn
- Per-volume controllers
- Synchronous replication
- Snapshots and backups
- Volume expansion
- Disaster recovery volumes
- Web interface
Only in Presto
- Federated querying
- In-memory execution
- Open table format support
- Presto C++ workers
- ANSI SQL
- Pluggable connectors
What people use each for
The jobs each tool is most often brought in to do.
Longhorn
- An on-premises Kubernetes cluster with local disks and no SAN that needs replicated persistent volumesnot Presto
- Edge sites where shipping a storage array is impractical and three nodes is the whole clusternot Presto
- A K3s deployment where the storage layer must be light enough to run alongside the workloadsnot Presto
- A team that wants snapshots and S3 backups of persistent volumes without paying per-node storage licencesnot Presto
Presto
- An existing PrestoDB estate that needs continued upgrades rather than a migration to Trinonot Longhorn
- A team buying IBM watsonx.data, where Presto is the underlying query enginenot Longhorn
- Joining a Hive or Iceberg lake to an operational PostgreSQL database in one query without an ETL stepnot Longhorn
- Very large scale interactive SQL where the Meta-tested branch is a specific requirementnot Longhorn
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Longhorn
- There is no vendor and no SLA, so a production incident at three in the morning is your own problem unless you buy SUSE Rancher Prime support separately.
- Synchronous replication across nodes means write latency depends on the slowest replica and the network between nodes, which makes it a poor fit for latency-sensitive databases.
- Every replica is a full copy, so three-way replication consumes three times the raw capacity, unlike erasure-coded systems that are far more space efficient.
- It is designed for block storage on modest clusters and does not scale to the node counts or throughput that Ceph or a commercial array handles, so growth eventually forces a migration.
- Recovery from certain degraded states, such as a volume stuck detaching or replicas failing to rebuild, requires manual intervention and knowledge of Longhorn internals that is not widely held.
Presto
- The original creators and most of the active contributor base left for Trino in 2020, so Presto has the smaller community, fewer connectors and slower feature delivery of the two branches.
- Documentation, tutorials and Stack Overflow answers for the two projects are frequently mixed up, and a solution written for Trino often does not apply, which costs real debugging time.
- It is a query engine with no storage of its own, so query performance is dictated by your file layout, partitioning and statistics, and a badly organised lake makes Presto look slow.
- Memory-bound execution means a single large join can fail the whole query rather than spilling gracefully, and tuning cluster memory settings is a persistent operational chore.
- Commercial support has consolidated into IBM since the Ahana acquisition, so the independent vendor market that once existed around Presto is largely gone.
Pricing, plan by plan
Longhorn
Free- LonghornFree
- Apache 2.0 licensed, no licence fee
- Community support via GitHub and Slack only
- No vendor SLA or escalation path
Presto
Free- PrestoFree
- Apache 2.0 licence
- Presto Foundation governance under the Linux Foundation
- No node or query limits
Which should you pick?
Choose Longhorn if
- You need per-volume controllers.
- You want to start without paying.
- You work on Linux, Kubernetes.
- You also want synchronous replication.
Choose Presto if
- You need federated querying.
- You want to start without paying.
- You work on Linux, Docker, Kubernetes.
- You also want in-memory execution.
Questions people ask
- Is Longhorn or Presto better?
- Neither clearly leads. Longhorn starts at Free and Presto at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Longhorn or Presto?
- Longhorn starts at Free and Presto at Free.
- Does Longhorn or Presto run on more platforms?
- Longhorn runs on Linux, Kubernetes. Presto runs on Linux, Docker, Kubernetes.
- Can I use Longhorn for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Longhorn best used for?
- Longhorn is most often used for an on-premises kubernetes cluster with local disks and no san that needs replicated persistent volumes, edge sites where shipping a storage array is impractical and three nodes is the whole cluster, a k3s deployment where the storage layer must be light enough to run alongside the workloads, a team that wants snapshots and s3 backups of persistent volumes without paying per-node storage licences. Of those, an on-premises kubernetes cluster with local disks and no san that needs replicated persistent volumes and edge sites where shipping a storage array is impractical and three nodes is the whole cluster are not what Presto is typically brought in for.
- What can Longhorn do that Presto cannot?
- Longhorn covers Per-volume controllers, Synchronous replication, Snapshots and backups, Volume expansion. Presto covers Federated querying, In-memory execution, Open table format support, Presto C++ workers.
Answered from the vendors’ own pages
Longhorn: Who do we call when it breaks?
Nobody, unless you buy SUSE Rancher Prime, which includes commercial support for Longhorn. This is the decisive question for production use.
Presto: Is this Presto or Trino?
This is PrestoDB, the branch that stayed at Facebook and moved to the Linux Foundation. Trino is the 2020 fork by the original creators.
Longhorn: How much capacity does replication cost?
Full copies, so three replicas means three times the raw capacity. Budget accordingly rather than assuming erasure coding efficiency.
Presto: Which should I choose for a new project?
Trino, in most cases. It has the larger community, more connectors and more commercial options.
Longhorn: Is it suitable for production databases?
For modest workloads yes, but synchronous replication adds write latency and high-transaction databases usually want something faster.
Presto: Who maintains Presto now?
Principally Meta, Uber and IBM, which acquired the Presto vendor Ahana in 2023.
Presto: Is it still actively released?
Yes, releases continue on a regular cadence under the Presto Foundation.
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