ShannonBase vs ScreenplayIQ

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-10-09
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At a glance

DimensionShannonBaseScreenplayIQ
Best ForMySQL users, data teams, AI developers needing in-database ML/LLMScreenwriters, producers, studio executives evaluating script marketability
Core CapabilityHTAP database with native ML and LLM inferenceAI screenplay analysis with box office prediction
Integration StyleMySQL ecosystem tools and middlewarePitchTrailer, export to PDF, API access
Not ForFully managed serverless, extensive non-MySQL connectors, row-level securityLine-by-line editing, TV/short films, scripts >150 pages
Target UserDevelopers and data teamsCreative professionals in film/TV
ShannonBase
ShannonBase

Open-source MySQL 8.4-compatible HTAP database with an in-memory column store, in-database ML, vector search, and an in-kernel agent runtime.

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ScreenplayIQ
ScreenplayIQ

AI screenplay analysis on your draft — logline, comps, character emotional journey charts, and inline proofread fixes

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Pricing
Freemium
Paid
Plans
$0/mo
$19/mo
Custom
~$24 TV / ~$38 Feature (based on page length)
~$48 TV / ~$78 Feature (based on page length)
~$60 TV / ~$98 Feature (based on page length)
~$24 TV / ~$38 Feature
Popularity
18 views
7.5k views
Skill Level
Advanced
Intermediate
API Available
Platforms
APICLI
WebAPI
Categories
⚙️ Developer Infrastructure
📖 Fiction & Screenwriting
Features
HTAP: transactional and analytical workloads on one MySQL 8.4-compatible engine
Rapid in-memory column store as a secondary engine with cost-based per-query routing
MySQL 8.4 wire compatible — existing drivers, ORMs, and mysqldump files keep working
Real-time propagation from InnoDB to the column store via redo log plus DML notifications
Native VECTOR type with ART index and in-process embedding generation
Vector similarity search via ORDER BY vector_distance(v, ?) in standard SQL
In-database model training and prediction from SQL using LightGBM and ONNX Runtime
Local LLM generation with retrieval-augmented generation (RAG) called from SQL via sys.shannon_chat
In-kernel JavaScript agent runtime and system agent with in-process SQL bridge
Human approval workflow required before any agent write commits
Durable agent approval workflow — plan rows commit independently of the approval wait (30 Jul 2026)
Vectorized hash join with SIMD-accelerated batched build and probe phases in Rapid (14 Aug 2026)
MVCC version linking in the column store for concurrent scans and transactions
Docker deployment — single container, no external dependencies
Open source under GPL v2, source and docs on GitHub
Generate a logline from a full screenplay draft
Surface comparable films and TV shows for market fit
Break a script into structured story points
Produce a full synopsis without reading the whole draft
Write character synopses for the full cast
Create visual representations of characters
Chart each character's emotional journey across the script
Deliver a full assessment analysis of the draft
Break down the story's themes
Proofread report with inline highlights on every issue
Recommend a fix for each flagged issue
Build a custom analysis package outside the presets
Price analysis by page length, quoted separately for TV and features
Store uploaded scripts in encrypted, siloed storage
WGA-compliant handling of submitted scripts
Integrations
mysql-connector
JDBC
Go sql-driver
SQLAlchemy
Prisma
mysqldump
ProxySQL
Canal

What real users say: ShannonBase vs ScreenplayIQ

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

ShannonBase

11 mentions across 3 sources · 67% positive (averaged across 3 sources)

Hacker News, Product Hunt, GitHub

What users praise

  • • 100% MySQL compatible, enabling zero-code migration.
  • • Native ML and LLM inference directly in the database.
  • • JavaScript stored functions allow building AI agents natively.
  • • Cost-based and ML-based optimizer improves query performance.

What frustrates them

  • • Very limited independent community feedback and real-world validation.
  • • Documentation and support quality are unclear due to early stage.
  • • Potential performance bottlenecks at scale not yet demonstrated.
  • • JavaScript agent feature may introduce security and complexity risks.

Researched Jul 3, 2026

ScreenplayIQ

No verifiable community signal. We scanned public discussion on Oct 7, 2026 and found posts matching the name “ScreenplayIQ”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.

Who should pick which

  • MySQL power user wanting HTAP
    Pick: ShannonBase

    ShannonBase is 100% MySQL compatible and adds analytical processing and AI inference without code changes.

  • Data team needing in-database ML
    Pick: ShannonBase

    Native LightGBM and ONNXRuntime enable ML/LLM directly in the database, reducing data movement and complexity.

  • Screenwriter seeking script marketability insights
    Pick: ScreenplayIQ

    ScreenplayIQ provides box office predictions, structural feedback, and comparative market data to refine scripts.

  • Producer evaluating multiple scripts
    Pick: ScreenplayIQ

    The Pro or Studio plan enables unlimited analyses and collaborative workspace for slate decisions.

  • Developer building AI apps needing low-latency LLM in DB
    Pick: ShannonBase

    On-database LLM inference via ONNXRuntime simplifies RAG and NLP tasks directly on stored data.

Frequently Asked Questions

Can I use ShannonBase as a drop-in replacement for MySQL?

Yes, it's 100% MySQL compatible, so you can migrate without code changes.

Does ScreenplayIQ support TV scripts or short films?

No, it only supports feature-length English screenplays. Scripts over 150 pages may exceed the AI context window.

Can I run machine learning models inside ShannonBase?

Yes, ShannonBase natively supports LightGBM and LLM inference via ONNXRuntime directly on the database.

How does ScreenplayIQ predict box office returns?

It uses narrative structure, character development, and comparative market data against top-grossing films.

What integrations does ScreenplayIQ offer?

It integrates with PitchTrailer for pitch deck generation and provides API access on the Studio plan. Exports to PDF.

Is ShannonBase free?

Yes, it's freemium. You can download and use the basic version for free.

What does the Pro plan of ScreenplayIQ cost?

$19 per month, which includes unlimited analyses and comparative market data.

Can ShannonBase handle both transactional and analytical queries?

Yes, it's HTAP with an in-memory columnar engine for analytics and real-time propagation from transactional data.

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Last reviewed: July 3, 2026