Neon vs LlamaIndex

Neon

LlamaIndex

Neon · 14 features

• Autoscaling — Compute scales CPU + memory between min and max CU in seconds based on load.
• Branching — Git-like DB branches: copy-on-write snapshots of data + schema. Instant, cheap. …
• Data API (REST) — PostgREST-compatible REST endpoint auto-generated from your schema. Uses Postgre…
• IP Allowlist — Restrict DB access to specific CIDRs. Launch+.
• Launchpad — One-click create-a-database link that can be embedded in OSS repos (DATABASE_URL…
• Logical Replication — Publish changes to Snowflake, BigQuery, Kafka, or other Postgres. Subscribe from…
• Monitoring — Built-in dashboards for CPU/RAM/connections/slow queries. Prometheus export on B…
• Neon Auth — Stack Auth integrated: users table auto-synced into your Postgres (public.users_…
• Point-in-Time Restore — Restore DB to any moment in the retention window (6h free → 30d Scale) via branc…
• Private Networking — AWS PrivateLink / VPC peering. Business plan.
• Read Replicas — Create a read-only compute endpoint on the same branch. Zero replication lag (re…
• Scale to Zero — Compute suspends when idle — no charge for compute while paused. Cold-start ~300…
• Schema Diff — Compare schema between branches — build PR checks and preview migrations safely.
• SQL over HTTP — Serverless driver lets you query Postgres over HTTPS — works in edge runtimes (V…

LlamaIndex · 16 features

• Agents — Agent patterns: ReAct, function-calling, multi-agent workflows.
• Document Readers — 200+ readers for PDF, web, Google Drive, SharePoint, Notion, S3, Slack.
• Evaluations — Built-in eval framework: faithfulness, context precision/recall.
• LlamaCloud — Managed indexing + retrieval platform. File connectors, auto-chunking, retrieval…
• LlamaExtract — Schema-based structured extraction from unstructured docs.
• LlamaHub — Community marketplace of readers, tools, prompts.
• LlamaParse — Best-in-class PDF + complex document parser. Tables, math, layout preserved.
• Multimodal — Image + text models, image retrieval.
• Node Parsers — Document chunkers: token, sentence, semantic, hierarchical.
• Observability (OpenLLMetry) — OTel-based tracing baked in.
• Property Graph — Graph-based RAG (knowledge graphs from unstructured data).
• Query Engines — Retrieval + response synthesis combos — router, sub-question, tree, etc.
• RAG — End-to-end RAG patterns: ingest → index → retrieve → synthesize.
• Tools — 50+ pre-built tool integrations.
• Vector Store Integrations — 50+ vector DB integrations.
• Workflows — Event-driven agent workflows (AgentWorkflow).