Compare Xata and Quickwit on pricing, features, platforms, and ratings — both Databases tools, usage-based vs Open source under Apache License 2.0 for…
At a Glance
Xata
Quickwit
Primary category
Databases
Databases
Rating
Not documented
Not documented
Pricing model
usage-based
Open source under Apache License 2.0 for self-managed deployment; enterprise and managed support now offered through Datadog following its acquisition of Quickwit
Starting price
Free open-source self-hosted core; Xata Cloud from about $0.012/hour compute plus $0.28/GB/month storage (roughly $9/month for a micro instance)
Free (open source, self-hosted); Datadog-managed offering priced separately by Datadog
Free plan
Not documented
Not documented
Free trial
Not documented
Not documented
Platforms
Not documented
Not documented
Team collaboration
Not documented
Not documented
AI features
Yes
Not documented
Public API
Yes
Yes
Pricing Compared
Starting price reflects the lowest paid tier, not the full cost for every team size or usage level.
Xata
Open Source — $0 self-hosted
Xata Cloud — From ~$9/month (micro instance) plus $0.28/GB storage usage-based
BYOC — Custom quote custom
Quickwit
Open Source (Self-Managed) — Free No subscription; self-hosted under Apache License 2.0
Near-instant database branching supports fast preview environments and safer schema migrations.
Full Postgres wire protocol compatibility avoids vendor lock-in to a proprietary query layer.
Usage-based pricing means costs scale with actual compute and storage consumption.
Open-source core gives teams a free, self-hosted path independent of the managed cloud.
Cons
No permanent free tier on the managed Cloud product since the 2024-2025 platform rebuild.
Usage-based billing can be harder to predict than flat subscription pricing for budgeting.
The 2024-2025 product pivot means a shorter track record for the current Postgres-focused platform compared to established managed Postgres providers.
BYOC pricing requires contacting sales rather than self-serve signup.
Quickwit
Pros
Free and open source under the permissive Apache License 2.0
Searches data directly on low-cost object storage, reducing infrastructure spend versus disk-replicated search engines
High-performance Rust and Tantivy-based architecture built for large-scale log and trace search
Native support for OpenTelemetry and Jaeger, easing adoption in existing observability stacks
Now backed by Datadog's engineering resources following the 2025 acquisition
Cons
Future commercial direction is now tied to Datadog's roadmap rather than an independent company
Self-managed deployment requires in-house expertise to operate and tune at scale
Smaller community and ecosystem compared to long-established engines like Elasticsearch
Documentation and tooling maturity may lag more established, decade-old search platforms
Enterprise support now flows through Datadog rather than a dedicated Quickwit team
Use Cases
Xata
Preview Environments for Pull Requests — Engineering teams spin up a fresh database branch for every pull request to test changes against realistic data without affecting production.
Safer Schema Migrations — Teams branch the database before applying schema changes, validate the migration on the branch, then merge or discard it.
Regulated Enterprise Deployments — Enterprises with compliance requirements deploy Xata via BYOC into their own cloud account to keep data within their security perimeter.
Quickwit
Cost-Efficient Log Search at Scale — Engineering teams use Quickwit to search very large volumes of application and infrastructure logs without paying for expensive, locally-replicated search indexes.
Regulated-Industry Log Residency — Organizations in finance, insurance and healthcare use self-hosted Quickwit to keep log data within specific regions or environments for compliance while still enabling fast search.
Distributed Tracing and Observability Pipelines — Teams running OpenTelemetry or Jaeger-based tracing use Quickwit to store and search trace data cost-effectively as part of their observability stack.