Tines vs Torq vs Swimlane: which SOAR fits in 2026?

Quick Answer: Tines is the strongest pick for mid-market SOCs that want low-code playbooks and lightweight case management. Torq fits cloud-native SecOps teams that need deep integration breadth and per-execution pricing. Swimlane suits regulated enterprises that need built-in case management, FedRAMP-authorised hosting, and code-level extensibility, as of May 2026.

Three-Way Snapshot

Dimension Tines Torq Swimlane
Founded 2018 (Dublin) 2020 (Portland) 2014 (Denver)
Build style Low-code stories Low-code + Python Low-code + Python
Native integrations ~200 ~300 ~600 (Solutions Hub)
Case management Lightweight Lightweight + BYO ticketing Built-in
Pricing model Per-action Per-execution (Hyperautomation) Per-analyst + module
Deployment Cloud + self-hosted Tenant Cloud Cloud + on-prem + FedRAMP

Integration counts and pricing models reflect publicly listed information as of May 2026.

When Tines Wins

Tines is the mid-market default. Strengths in 2026:

  • Story-builder UI accessible to tier-1 analysts without scripting
  • Self-hosted Tenant option for regulated mid-market SOCs
  • Predictable per-action pricing for known playbook volumes

When Torq Wins

Torq is the cloud-native, integration-heavy choice. Strengths:

  • Wide native integration catalog focused on cloud and SaaS security tools
  • Hyperautomation pricing scales with execution volume rather than seats
  • Strong fit for SOCs that mix low-code with Python for custom enrichment

When Swimlane Wins

Swimlane is the regulated-enterprise choice. Strengths:

  • Built-in case management as a system of record for incidents
  • FedRAMP-authorised hosting for US federal customers
  • Solutions Hub catalog with deep verified integrations
  • On-prem option for sovereign-cloud and air-gapped environments

A Decision Heuristic

Most 2026 procurement processes can be reduced to three questions:

  • Do you need built-in case management? If yes, lean Swimlane. If no, lean Tines or Torq
  • Are you mostly cloud and SaaS, or mixed cloud/on-prem? Cloud-only favours Torq; mixed favours Swimlane
  • Will tier-1 analysts build playbooks, or only detection engineers? Analyst-driven favours Tines

Run a 30-60 day proof of value with the same three playbooks in each finalist before committing to a multi-year contract.

Related Questions

Written & reviewed by Rafal Fila · Last updated:

Related Tools

Related Rankings

Dive Deeper

comparison

Keystroke vs n8n in 2026: Agent-Built TypeScript vs the Visual Canvas

Keystroke, launched in July 2026 by Y Combinator W24 company Sprint Labs, is a code-first automation platform where AI coding agents write workflows as TypeScript in the user's repository. n8n, founded in 2019, is the most widely deployed source-available visual workflow platform, with 200,000+ users and a $2.5 billion valuation. This comparison covers the agent-authored versus canvas building models, durable execution, licensing (Elastic License 2.0 vs the Sustainable Use License), verified July 2026 pricing including Keystroke's usage metering, and the maturity gap between a days-old platform and an established ecosystem.

comparison

QuantumBPM vs Camunda 2026: Single-Binary Challenger vs the BPMN Incumbent

QuantumBPM (launched 2026, Coroid s.r.o., Slovakia) packages a BPMN 2.0 runtime and DMN 1.5 decision engine into one Go binary backed by Temporal and PostgreSQL. Camunda (Berlin, founded 2013) is the category incumbent: Camunda 7 (Apache 2.0, in maintenance) and the Zeebe-based Camunda 8 platform. This comparison covers product structure, architecture, DMN TCK conformance with recording dates, deployment, pricing, and vendor maturity, verified July 2026.

case-study

Migrating 23 Make Scenarios to Self-Hosted n8n: a 3-Week Breakdown

Anonymized retrospective of a DTC ecommerce brand migrating 23 Make scenarios to a self-hosted n8n instance over three weeks. Tooling cost dropped from $348/month on Make Teams to roughly $12/month on a Hetzner VPS, but credential and webhook recreation consumed about 40% of total project time.