Memgraph vs ScreenplayIQ

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

Analysis reviewed Live tool data as of 2026-08-23
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At a glance

DimensionMemgraphScreenplayIQ
Core PurposeIn-memory graph database for AI and analyticsAI screenplay analysis with box office prediction
PricingFree open-source (Community), Enterprise paidFree limited, Pro $19/mo, Studio $49/mo
Key FeatureGraphRAG, vector search, real-time graph traversalBox office prediction, structural feedback
Target UserAI engineers, data scientists, developersScreenwriters, producers, studio execs
Latest NewsMemgraph 3.11 multi-tenancy, MemGQL federated queries, MCP ServerNo recent updates
Script CoverageNot applicable (database)Supports feature films only (≤150 pages)

ScreenplayIQ and Memgraph serve completely different needs: one is a niche AI script analyzer for film industry professionals, the other a high-performance graph database for developers building AI systems. Your choice depends on whether you need box office predictions from a screenplay or real-time graph analytics with GraphRAG. For screenwriters, ScreenplayIQ is the clear pick; for AI engineers, Memgraph excels.

Memgraph
Memgraph

In-memory graph database for real-time GraphRAG, AI memory, and connected analytics.

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ScreenplayIQ
ScreenplayIQ

AI screenplay analysis with box office prediction and tailored feedback.

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Pricing
Freemium
Paid
Plans
$0
Free trial
Contact for pricing
Contact for pricing
~$24 for TV / ~$38 for Feature
~$48 for TV / ~$78 for Feature
~$60 for TV / ~$98 for Feature
~$24 for TV / ~$38 for Feature
~$24 for TV / ~$38 for Feature
~$118 for TV / ~$198 for Feature
Popularity
8 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebDesktopAPICLI
WebAPI
Categories
🗄️ Vector Databases & Retrieval🧠 Agent Memory & Runtimes
📖 Fiction & Screenwriting
Features
In-memory ACID transactions with on-disk persistence
Sub-millisecond multi-hop traversals
Cypher-compatible graph query language
Vector search for semantic AI
GraphRAG pipelines for structured context
AI memory: semantic, episodic, procedural in one graph
Agentic AI execution graph with traceable reasoning
MAGE algorithm library (PageRank, community detection, shortest path)
Stream connectors: Kafka, Pulsar, Redpanda
Memgraph Lab visual management interface
Zero-ETL federated query (MemGQL)
Memgraph MCP Server for AI agent integration
Multi-tenancy and RBAC (Enterprise)
High-availability replication and automatic failover
Disaster recovery and no-downtime updates
AI-powered structural analysis
Box office performance prediction
PitchTrailer integration for pitch decks
Beat sheet generation
Visual heatmap of dialogue and pacing
Genre classification
Character arc and emotional journey charts
Comparative market data
PDF report export
Collaborative workspace (up to 5 users)
Custom genre templates
API access
Advanced analytics dashboard
Priority support
Dedicated account manager
Integrations
Apache Kafka
Apache Pulsar
Redpanda
Neo4j
NetworkX
Python
Node.js
Java
C#
Go
Rust
Docker
Kubernetes
AWS
Entra ID
PitchTrailer

What real users say: Memgraph 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.

Memgraph

31 mentions across 2 sources · 70% positive

Hacker News, Lemmy

What users praise

  • Sub-millisecond query responses for real-time analytics and AI workloads.
  • Unified architecture for GraphRAG and graph analytics on one in-memory store.
  • Cypher-compatible, making migration from Neo4j straightforward.
  • Native vector search enables semantic AI without separate vector database.

What frustrates them

  • Early versions lacked native vector search, pushing users to competitors.
  • Complex Cypher queries can sometimes require manual optimization.
  • Smaller ecosystem and community compared to Neo4j.
  • Memory-based pricing can become expensive for large datasets.

Researched Jul 3, 2026

ScreenplayIQ

7 mentions across 1 sources · 25% positive — critical

YouTube

What users praise

  • Pay-per-analysis avoids subscription lock-in.
  • Offers box office prediction, a unique feature.
  • Tailored feedback based on script length and TV options.
  • Includes character journey charts and beat sheets.

What frustrates them

  • Reported to nearly ruin a user's script feedback.
  • Expensive per analysis, up to $198.
  • No line-by-line editing, despite expectations.
  • Limited to English scripts only.

Researched Aug 18, 2026

Who should pick which

  • Professional screenwriter
    Pick: ScreenplayIQ

    Provides structural feedback, marketability scores, and box office predictions tailored for feature films under 150 pages.

  • Film producer evaluating scripts
    Pick: ScreenplayIQ

    Quantitative analysis with comparative market data helps assess a script's financial potential for investment decisions.

  • AI engineer building GraphRAG application
    Pick: Memgraph

    In-memory performance, vector search, and built-in GraphRAG pipelines make it ideal for LLM context augmentation.

  • Data scientist doing real-time fraud detection
    Pick: Memgraph

    Sub-millisecond graph traversal and stream connectors for Kafka enable real-time network analysis at scale.

  • TV writer or short film creator
    Pick: none

    Neither tool fits: ScreenplayIQ only supports feature films; Memgraph is a database not for script analysis. Consider scriptwriting software instead.

Frequently Asked Questions

Memgraph vs ScreenplayIQ: which should you choose?

ScreenplayIQ and Memgraph serve completely different needs: one is a niche AI script analyzer for film industry professionals, the other a high-performance graph database for developers building AI systems. Your choice depends on whether you need box office predictions from a screenplay or real-time graph analytics with GraphRAG. For screenwriters, ScreenplayIQ is the clear pick; for AI engineers, Memgraph excels.

Can ScreenplayIQ help improve my script's structure?

Yes, it provides beat sheet analysis, pacing heatmaps, and character arc feedback based on narrative structure and market data.

Does Memgraph support Cypher queries?

Yes, Memgraph is fully Cypher-compatible, making it easy to migrate from Neo4j.

What is the maximum script length ScreenplayIQ can handle?

ScreenplayIQ supports scripts up to 150 pages due to AI context window limitations.

Is Memgraph free for commercial use?

The open-source Community Edition is free and can be used commercially. Enterprise features require a paid license.

Does ScreenplayIQ offer a free trial?

Yes, there is a Free tier that includes 1 analysis per month, effectively a limited free trial.

Can Memgraph be used for GraphRAG?

Yes, Memgraph has built-in GraphRAG pipelines and vector search to provide structured context for LLMs.

Does ScreenplayIQ support TV pilots or short films?

No, it only supports feature-length screenplays. TV writers and short film creators should look elsewhere.

What integrations does Memgraph support?

Memgraph integrates with Apache Kafka, Pulsar, Redpanda, Neo4j, NetworkX, and drivers for Python, Node.js, Java, C#, Go, Rust.

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Last reviewed: July 3, 2026