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Software · head to head

Firebolt vs Vitess

Firebolt logo

Firebolt

Software

Sub-second analytics at cloud data warehouse scale

From
$1.84/hour
Rated
-
Vitess logo

Vitess

Software

Scalable database clustering system for horizontal scaling of MySQL

From
Free
Rated
-

The short version

  • Only Vitess has a free tier, so it costs nothing to try first.
  • Each has a real cost: Firebolt compute billed per second on Arm-based processors; small instances still incur measurable costs during idle periods despite auto-stop; Vitess vTGate scatter queries without sharding key incur significant performance penalties
  • They diverge on capability: Firebolt covers Sub-second Queries, Vitess covers Horizontal Sharding.

Where they differ

Only the attributes on which Firebolt and Vitess actually diverge.

Attributes where Firebolt and Vitess differ
AttributeFireboltVitess
Starting price$1.84/hourFree
Pricing modelusage-basedUnknown
Free tierNoYes
PlatformsCloud (AWS, GCP, Azure preview), Docker, KubernetesLinux, macOS, Docker, Kubernetes
Founded20192010

Identical on both: user rating (Not yet rated), category (Unknown).

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 Firebolt

  • Sub-second Queries
  • Sparse Indexes
  • Data Pruning
  • Decoupled Storage/Compute
  • SQL Support
  • Semi-structured Data
  • Workload Isolation
  • Airflow

Only in Vitess

  • Horizontal Sharding
  • Connection Pooling
  • Query Routing
  • Online Schema Changes
  • Shard Management
  • Replication Management
  • Automated Failover
  • MySQL

What people use each for

The jobs each tool is most often brought in to do.

Firebolt

  • Data analytics teams running gigabyte-to-petabyte datasets with sub-second query requirementsnot Vitess
  • Real-time business intelligence platforms requiring ACID transactions and snapshot isolationnot Vitess
  • Applications needing vector search on analytical data for similarity queriesnot Vitess

Vitess

  • Transaction processingnot Firebolt
  • Data storagenot Firebolt
  • Application backendnot Firebolt
  • Reportingnot Firebolt
  • Data analyticsnot Firebolt

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Firebolt

  • Compute billed per second on Arm-based processors; small instances still incur measurable costs during idle periods despite auto-stop
  • Storage pass-through charged at $0.0264/GB monthly on compressed data; uncompressed storage could exceed this
  • Azure deployment currently in Preview status; production recommendations unclear
  • Vector indexes limited to float arrays; other data types require alternative indexing strategies
  • Free tier credits ($200) limited; no perpetual free tier for production use

Vitess

  • VTGate scatter queries without sharding key incur significant performance penalties
  • Foreign key constraints not enforced across shards, requiring application-level integrity handling
  • Single primary per keyspace limits multi-region write capabilities
  • Distributed transactions without proper sharding key routing suffer performance degradation

Pricing, plan by plan

Firebolt

$1.84/hour

No published plan breakdown. See the Firebolt review.

Vitess

Free

No published plan breakdown. See the Vitess review.

Which should you pick?

Choose Firebolt if

  • You need sub-second queries.
  • You work on Cloud (AWS, GCP, Azure preview), Docker, Kubernetes.
  • You also want sparse indexes.

Choose Vitess if

  • You need horizontal sharding.
  • You want to start without paying.
  • You work on Linux, macOS, Docker, Kubernetes.
  • You also want connection pooling.

Questions people ask

Is Firebolt or Vitess better?
Neither clearly leads. Firebolt starts at $1.84/hour and Vitess at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Firebolt or Vitess?
Vitess has a free tier; the other does not. Paid plans start at $1.84/hour for Firebolt and Free for Vitess.
Does Firebolt or Vitess run on more platforms?
Firebolt runs on Cloud (AWS, GCP, Azure preview), Docker, Kubernetes. Vitess runs on Linux, macOS, Docker, Kubernetes.
Can I use Vitess for free?
Yes. Vitess has a free tier, so you can try it without paying. Firebolt starts at $1.84/hour.
What is Firebolt best used for?
Firebolt is most often used for data analytics teams running gigabyte-to-petabyte datasets with sub-second query requirements, real-time business intelligence platforms requiring acid transactions and snapshot isolation, applications needing vector search on analytical data for similarity queries. Of those, data analytics teams running gigabyte-to-petabyte datasets with sub-second query requirements and real-time business intelligence platforms requiring acid transactions and snapshot isolation are not what Vitess is typically brought in for.
What can Firebolt do that Vitess cannot?
Firebolt covers Sub-second Queries, Sparse Indexes, Data Pruning, Decoupled Storage/Compute. Vitess covers Horizontal Sharding, Connection Pooling, Query Routing, Online Schema Changes.

Answered from the vendors’ own pages

Vitess: Is Vitess free to use?

Yes. Vitess is completely free and open source under the Apache 2.0 license. It is a graduated CNCF project with no licensing costs or pricing tiers.

Source
Vitess: What databases does Vitess support?

Vitess supports MySQL and MariaDB as backend databases. It acts as a middleware layer that adds sharding and orchestration capabilities on top of these databases.

Source
Vitess: Does Vitess require Kubernetes to run?

No. Vitess can run on Kubernetes using the Vitess Operator, but it can also be deployed on traditional infrastructure. Kubernetes integration is optional and provides additional automation benefits.

Source
Vitess: How does Vitess handle cross-shard transactions?

Vitess supports distributed transactions across shards, but they require queries to be routed through the sharding key. Transactions without a proper sharding key can result in slower performance.

Source
Vitess: Does Vitess enforce foreign key constraints?

Vitess does not enforce foreign key constraints across shards by default. Referential integrity must be managed at the application layer, though per-database support can be enabled with limitations.

Source

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