8base.com vs Quickwit

Compare 8base.com and Quickwit on pricing, features, platforms, and ratings — both Databases tools, freemium vs Open source under Apache License 2.0 for…

At a Glance

 8base.comQuickwit
Primary categoryDatabasesDatabases
RatingNot documentedNot documented
Pricing modelfreemiumOpen source under Apache License 2.0 for self-managed deployment; enterprise and managed support now offered through Datadog following its acquisition of Quickwit
Starting priceFree plan available; paid plans start at 25 USD per monthFree (open source, self-hosted); Datadog-managed offering priced separately by Datadog
Free planNot documentedNot documented
Free trialNot documentedNot documented
PlatformsNot documentedNot documented
Team collaborationNot documentedNot documented
AI featuresNot documentedNot documented
Public APINot documentedYes

Pricing Compared

Starting price reflects the lowest paid tier, not the full cost for every team size or usage level.

8base.com

Free — $0 monthly
Developer — $25/month monthly
Professional — $50/month per developer (minimum 3 developers) monthly
Enterprise — $75/month per developer (minimum 10 developers) monthly

Quickwit

Open Source (Self-Managed) — Free No subscription; self-hosted under Apache License 2.0
Datadog-Managed Offering — Custom pricing (via Datadog) Enterprise agreement through Datadog

Pros & Cons

8base.com

Pros

  • Per-project pricing avoids the per-end-user cost trap common with other low-code backend tools
  • GraphQL-first architecture gives front-end teams a flexible, single API for data access
  • Free plan is usable for real prototypes, not just a limited demo
  • Compliance certifications (HIPAA, GDPR, SOC 2) available for regulated industries on paid tiers
  • Enterprise tier supports self-hosting and SSO for larger organizations

Cons

  • Professional and Enterprise plans require a minimum number of developer seats, which can raise the effective entry cost for small teams
  • GraphQL-first design may require a learning curve for teams used to REST-based backends
  • Public information about company size and recent funding is limited
  • Less brand recognition than larger BaaS competitors such as Firebase or Supabase

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

8base.com

  • Launching an MVP quickly — Indie developers and startups use 8base's auto-generated backend to skip building infrastructure and focus on the front end.
  • Building client applications at an agency — Consultancies use 8base's per-project pricing to deliver multiple client backends without per-end-user cost overruns.
  • Powering internal or SaaS tools at a company — Product teams use 8base's compliance features and role-based permissions to build internal tools or SaaS products with regulatory requirements.

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.

Read the full 8base.com review · Read the full Quickwit review