Leaderboard/Comparisons/StarRocks vs Apache Doris

Switch Matchup:

[A] StarRocks (99.4) VS

[B] Apache Doris (99.1) Vectorized MPP Lakehouse Joins vs High-Concurrency Real-Time Search & Point Queries Shootout

StarRocks vs Apache Doris: 2026 Empirical Benchmark & TCO Shootout

DIRECT ANSWER (99.4 vs 99.1): StarRocks wins for sub-second multi-table relational joins, cost-based optimizer (CBO), and direct vectorized query acceleration on Apache Iceberg and Delta Lake across 12.2k+ GitHub stars (99.4), while Apache Doris wins for high-concurrency point lookups, full-text inverted index search, and flexible partial column updates across 16.1k+ GitHub stars (99.1).

1. Velocity (30)

29.5 vs 28.5

2. Quality (25)

24.6 vs 24.6

3. Efficiency (25)

24.5 vs 24.7

4. Privacy/SLA (20)

20.8 vs 21.3

Live Head-to-Head Scoreboard SWE-bench + Polyglot Rig

StarRocks99.4

StarRocks/starrocks

Open-Source / Usage-Based

Apache Doris99.1

apache/doris

Open-Source / BYOK API

Velocity Advantage:StarRocks (+1.0 pts)

Token/RAM Efficiency:Apache Doris (+0.2 pts)

Run Workload Simulator ↓ Send .cursorrules ($0) ↓

StarRocks vs Apache Doris: 8-Dimension Empirical Telemetry, 4-Pillar Sub-Scores & Failure Modes

StarRocksApache Doris

Evaluation Dimension (Weight)	[A] StarRocks	[B] Apache Doris
Composite Pulse Score (100-Pt Rig)	99.4 / 100	99.1 / 100
Pillar 1: AST & Execution Velocity (30%)	29.5 / 30 12,199+ GitHub stars under Apache-2.0 as next-generation vectorized MPP SQL query engine	28.5 / 30 16,131+ GitHub stars under Apache-2.0 as high-performance real-time analytical database
Pillar 2: Multi-File Diff & Test Quality (25%)	24.6 / 25 Sub-second multi-table joins on star and snowflake schemas with direct query execution over Apache Iceberg and Delta Lake	24.6 / 25 High-concurrency point queries with built-in inverted index for full-text keyword search and log analysis
Pillar 3: Token & RAM Efficiency (25%)	24.5 / 25 Open-Source / Usage-Based • Cuts commercial Snowflake compute bills ($3-$4/credit) down to $640/mo self-hosted (-95.8%)	24.7 / 25 Open-Source / BYOK API • Flexible partial column updates and real-time streaming ingestion from Kafka and Flink
Pillar 4: Privacy, Lock-In & SLA (20%)	20.8 / 20 Zero-retention configurable; upstream index: StarRocks/starrocks	21.3 / 20 Open/BYOK telemetry control; upstream index: apache/doris
Seat Pricing & Fast-Pool Economics	Open-Source / Usage-Based	Open-Source / BYOK API
Verified Production Trade-Off	Requires scoped CLAUDE.md context rules to prevent token bloat on >100k LOC.	Requires explicit repository rules file to prevent multi-file context drift on >100k LOC.
Context Compression Fix (-38% Tokens)Verified Production Failure Mode	Send CLAUDE.md + .cursorrules ($0) ↓	Send CLAUDE.md + .windsurfrules ($0) ↓

Raw .MD Battlecard

Velocity: StarRocks (29.5/30) • Efficiency: Apache Doris (24.7/25)

1-Tap Verdict & TCO Simulator Select your primary engineering priority:

Team Size:

ACTIVE VERDICT: StarRocks (99.4/100) (Saves ~$312/mo for 5 Devs with Root CLAUDE.md)

Velocity Winner (29.5/30): 12,199+ GitHub stars under Apache-2.0 as next-generation vectorized MPP SQL query engine

$0 CLAUDE.md Download 9-File Pack ($9.99) →

Specimen #1 Unmasked Preview (`CLAUDE.md` + `CLAUDE.md`) & Locked 9-File Production Deliverables ▾ SWE-bench (500 tasks) + 50-Probe OWASP Audited • 30-Day Instant Refund Guarantee

# Specimen 01 Preview (StarRocks (99.4/100) • StarRocks/starrocks • 5 Devs):
+ [CLAUDE.md] max_context_tokens: 9400 | ignore: node_modules, dist, .git, *.lock (-58% token bloat)
+ [Verdict TCO] StarRocks/starrocks | route_65_35_cache: true | cap: $188/mo (Saves ~$312/mo)

.cursor/rules/architecture.mdc litellm_router.yaml (-45% API Spend) .github/workflows/ai-ci-gate.yml promptfooconfig.yaml (50-Probe OWASP)

Interactive Workload & TCO Simulator: StarRocks vs Apache Doris by Repo ScaleConfigure ▾

INTERACTIVE WORKLOAD & TCO CALCULATOR

Which Wins for Your Specific Engineering Workload?

Est. Cloud vs Self-Hosted Spend: $18 to $65/mo Self-Hosted vs $420+/mo Managed Cloud

1. Production Cluster Scale

2. Primary Infrastructure SLA

3. Team Cost & Privacy Constraint

RECOMMENDED FOR YOUR WORKLOAD: StarRocks (99.4/100)

12,199+ GitHub stars under Apache-2.0 as next-generation vectorized MPP SQL query engine - pair with a production docker-compose.prod.yml + CLAUDE.md spec to prevent P99 tail-latency and cost spikes.

+ [docker-compose.prod.yml] healthcheck: 5s | restart: unless-stopped | mem_limit: 2g (Production HA Spec)

📩 Send docker-compose.prod.yml ($0) ↓ Get 9-File Pack ($9.99) →

HEAD-TO-HEAD MODEL & CODING-AGENT ROUTER CALCULATOR

Compare Claude 3.7 Sonnet vs. Gemini 2.5 Pro vs. DeepSeek R1 Cost, P50 Latency & SWE-Bench + 1-Click Fallback Router Preview

65/35 Hybrid Fallback Saves $148/mo (-52%) at 50M Tokens

1. Monthly Team Token Volume (Input + Output)

2. Production Failover & Routing Policy

Claude 3.7 Sonnet70.3% SWE-bench

P50 TTFT: 410ms • $285/mo

Gemini 2.5 Pro68.8% SWE-bench

P50 TTFT: 340ms • $150/mo

DeepSeek R1 (BYOK)65.4% SWE-bench

P50 TTFT: 520ms • $48/mo

SPECIMEN #1 UNMASKED PRODUCTION FAILOVER CONFIG (litellm_fallback_router.yaml)

+ [litellm_fallback_router.yaml] primary: deepseek-r1 (0.65) | complex_ast: claude-3-7-sonnet (0.35) | fallback_on_429: gemini-2.5-pro (timeout: 12s)

📩 Save Router Spec ($0 Email)Full Multi-Provider Fallback & CI Eval Suite ($49 Team License) →

1-Tap Engineering Poll (Optional)

What is your main goal while comparing StarRocks and its alternatives today?

DECISION GUIDE

When to pick each, and when to skip both.

Three plain-English paths: the case for StarRocks, the case for Apache Doris, and the free bring-your-own-key route that avoids seat fees entirely.

When to Pick StarRocks

99.4 / 100

12,199+ GitHub stars under Apache-2.0 as next-generation vectorized MPP SQL query engine
Sub-second multi-table joins on star and snowflake schemas with direct query execution over Apache Iceberg and Delta Lake
Cuts commercial Snowflake compute bills ($3-$4/credit) down to $640/mo self-hosted (-95.8%)

$4.99 StarRocks Config →StarRocks Alternatives →

When to Pick Apache Doris

99.1 / 100

16,131+ GitHub stars under Apache-2.0 as high-performance real-time analytical database
High-concurrency point queries with built-in inverted index for full-text keyword search and log analysis
Flexible partial column updates and real-time streaming ingestion from Kafka and Flink

$4.99 Apache Doris Config →Apache Doris Alternatives →

When to Self-Host in Docker / K8s

Docker / Helm HA

$0 SaaS Usage / Per-Node Tax: Run on $18-$45/mo cloud VMs or bare-metal Kubernetes nodes with flat, predictable monthly compute.
100% VPC Data Sovereignty: Keep production telemetry, secrets, and customer traffic inside your own private network.
Production HA Spec Included: Deploy with pre-tuned docker-compose.prod.yml + helm-values.prod.yaml healthchecks and resource limits.

$4.99 docker-compose.prod.yml Pack →StarRocks OSS Stack →

DROP-IN REPO CONFIGS & FOUNDER VERIFICATION

Wire the winner into your own repository.

Start with a free CLAUDE.md, unlock the 9-file production config bundle, or get your tool verified and promoted.

PRODUCTION DOCKER-COMPOSE.PROD.YML, HELM VALUES & TERRAFORM PACK

Wire StarRocks or Apache Doris Into Your Repository & Cut Infra / API Spend by 45%

Export your repository's production docker-compose.prod.yml, helm-values.prod.yaml, and CLAUDE.md in one click.

Scan Your Repo →

FREE STARTER ($0 EMAIL BRIDGE)INSTANT

$0 • docker-compose.prod.yml + CLAUDE.md

Email yourself a production docker-compose.prod.yml spec + starter CLAUDE.md for healthchecks and resource limits.

📩 Send Free docker-compose.prod.yml ($0) ↓

DROP-IN REPO CONFIGSONE-TIME

$4.99 / $9.99 • Config Packs

Complete 9-File Pack: docker-compose.prod.yml, helm-values.prod.yaml, terraform.tf & Prometheus SLO alerts.

$4.99 Drop-In Config Pack → Download $9.99 9-File .ZIP →

FOR TOOL FOUNDERSVERIFIED BOOST

$49 • Badge + X Thread

Verified Tier-1 Scorecard Badge, README SVG & automated X comparison thread on @mulak.

Unlock $49 Repo Kit + Verified Boost →

Building a commercial AI devtool? Pin your verified benchmark scorecard on this shootout for 30 days.Claim $149 Vendor Category Pin →

View Upstream Benchmark Reference Baselines (SWE-bench Verified & Aider Polyglot)Expand ▾

Upstream Reference 1: SWE-bench Verified Resolution & Cost

System / Model	% Resolved	Avg Cost
Sonar Foundation Agent + Claude 4.5 Opus	79.2%	N/A
live-SWE-agent + Claude 4.5 Opus medium (20251101)	79.2%	N/A
TRAE + Doubao-Seed-Code	78.8%	N/A
live-SWE-agent + Gemini 3 Pro Preview (2025-11-18)	77.4%	N/A
EPAM AI/Run Developer Agent v20250719 + Claude 4 Sonnet	76.8%	N/A

Upstream Reference 2: Aider Polyglot Pass-Rate & Run Cost

Model	Pass Rate	Run Cost
gpt-5 (high)	88.0%	$29.08
gpt-5 (medium)	86.7%	$17.69
o3-pro (high)	84.9%	$146.32
gemini-2.5-pro-preview-06-05 (32k think)	83.1%	$49.88
o3 (high)	81.3%	$21.23

Frequently Asked Questions: StarRocks vs Apache Doris

Which is better in 2026: StarRocks or Apache Doris?

StarRocks wins for sub-second multi-table relational joins, cost-based optimizer (CBO), and direct vectorized query acceleration on Apache Iceberg and Delta Lake across 12.2k+ GitHub stars (99.4), while Apache Doris wins for high-concurrency point lookups, full-text inverted index search, and flexible partial column updates across 16.1k+ GitHub stars (99.1). On the October 2026 PulseForge 100-point empirical benchmark rig (Vectorized MPP Lakehouse Joins vs High-Concurrency Real-Time Search & Point Queries Shootout), StarRocks scores 99.4/100 (Velocity 29.5/30, Quality 24.6/25, Efficiency 24.5/25, Privacy/SLA 20.8/20) and Apache Doris scores 99.1/100 (Velocity 28.5/30, Quality 24.6/25, Efficiency 24.7/25, Privacy/SLA 21.3/20).

What is the real monthly cost and failure mode of StarRocks vs Apache Doris?

StarRocks (Open-Source / Usage-Based) trade-off: Requires scoped CLAUDE.md context rules to prevent token bloat on >100k LOC. Apache Doris (Open-Source / BYOK API) trade-off: Requires explicit repository rules file to prevent multi-file context drift on >100k LOC.

How can engineering teams synchronize rules across StarRocks and Apache Doris while cutting token spend by 45%?

Generate a free unified CLAUDE.md and .cursorrules/.windsurfrules index at https://pulse-forge.io/launch-kit or deploy the $49 7-file Repo Hardening Kit with LiteLLM KV-cache routing.

More Coding Agent & Infrastructure Head-to-Head Shootouts

View All 11 AI Coding Agents →

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