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PowerSync vs RushDB

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

PowerSync compared with RushDB
DetailPowerSync logo PowerSyncRushDB logo RushDB
What it doesBackend database sync engine for real-time, fast, consistent, network-resilient applications Open-source database for AI agents with self-describing schema
StageEstablished Not given
Founded2022 Not given
Based inUS AM
Pricing modelFreemium Freemium
PricingFree plan: $0/month with up to 2 GB data synced/month, 500 MB hosted data, 50 peak concurrent clients. Pro plan: from $49/month with 30 GB data synced/month included, 10 GB hosted data, 1,000 peak concurrent clients. Team plan: from $599/month with additional features like uptime guarantee and SOC 2 Free plan: 1 GB storage, 3 projects, 1 seat, 200 Smart Searches/month, 1M embedding tokens/month. Pro: $49/month, 20 GB storage then $0.50/GB-month, 10 projects then $3/month each, 3 seats then $15/month each, 2,000 Smart Searches/month then $5 per 1K, 25M embedding tokens/month then $0.20 per 1M. T
Key features
  • Real-time streaming sync
  • Partial syncing with Sync Streams
  • Bi-directional synchronization
  • JWT-based authentication
  • Consistency guarantees
  • Conflict resolution
  • Horizontal scalability
  • Schema catalog automatically updated on every write with exact field names, types, values and relationship shapes
  • Nested JSON documents converted to linked records in a single commit
  • Multiple query languages: SQL, openCypher, Gremlin, ISO GQL, Mongo-style and native SearchQuery on same data
  • Hybrid search combining vector (exact and HNSW) and BM25 full-text indexes in one query
  • PostgreSQL and Neo4j protocol compatibility via wire protocols
  • MVCC snapshot isolation for concurrent reads and writes
  • Atomic transactions with write-ahead log durability
  • Single Rust binary deployment with no additional services required
  • RushDB Cloud managed service with embeddings and MCP hosting
  • TypeScript and Python SDKs plus gRPC and HTTP APIs
What makes it different
  • Works with existing backend databases (Postgres, MongoDB, MySQL, SQL Server, Azure DocumentDB) - no need to adopt a new database
  • Reduces code complexity by eliminating custom sync, cache invalidation, and optimistic update logic
  • Battle-hardened by years of production use in demanding environments with Fortune 500 customers
  • Open-source architecture with self-hosting option
  • Cross-platform support (web, mobile, desktop, embedded, agents)
  • Agents see exact schema before querying, eliminating guesswork about field names and types
  • Smaller AI models achieve higher accuracy when querying with schema awareness
  • Filtered schema queries return accurate facet counts and field values matching query results
  • One database handles records, relationships, vectors and full-text indexes without sync overhead
  • Free open-source engine and managed cloud option with same underlying technology
Community votes00
DR (Domain Rating by Ahrefs)66 no change since last check10 no change since last check
Trust Flow (Majestic)134
Citation Flow (Majestic)3923
Referring domains (Majestic)54966

6 details filled in for both companies.

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