Every mutation is automatically versioned. Query any point in time with Cypher. Built-in MCP server lets AI agents explore, query, and mutate your graph directly. Append-only storage with immutable snapshots. Zero configuration.
curl -X POST https://api.graphiquity.com/query \
-H "Authorization: Bearer <token>" \
-d '{
"graph": "my-graph",
"cypher": "MATCH (p:Person) RETURN p LIMIT 10",
"atTime": "2026-02-15T00:00:00Z"
}'
Accidentally deleted 10,000 nodes? Bad migration? Query your graph before the mistake happened and restore exactly what you need. No backups to find, no recovery scripts to write, no downtime.
Regulators ask "what did the data say on March 15th?" — you answer with a single query. Every change is tracked, timestamped, and immutable. Auditability features that support SOC 2, HIPAA, and GDPR programs.
Production bug at 3am? Query the graph at the exact moment it happened. See the state your code saw. No log correlation, no guessing. Reproduce any issue deterministically.
Every node and relationship keeps its complete history — who changed what, when, and what the previous values were. Compare any two points in time. Diff your graph like you diff your code.
Cypher, SQL, GraphQL, or REST Document API — pick the language your team already knows. Every interface hits the same storage layer. Use Cypher for graph traversals, SQL for analysts, GraphQL for front-end developers, and the Document API for simple CRUD.
Neo4j requires JVM tuning, heap sizing, cluster management, and a dedicated ops team. Graphiquity is a managed service with a single API endpoint. Sign up, create a graph, start querying in under 60 seconds.
Load millions of nodes and edges via S3-based fast import. Append-only writes, automatic index creation, per-operation result tracking. No size limits on payloads.
Built-in graph explorer with force-directed layout, node expansion, and property inspection. See your data as a network, not rows in a table. No third-party tools required.
Native MCP server lets Claude, GPT, or any agent explore schemas, run Cypher, mutate data, and traverse history. Agents get structured graph context, not flat text. Your knowledge graph becomes the agent's long-term memory.
Nodes, relationships, and properties rendered as an interactive network. Explore connections, trace paths, and understand your data topology at a glance.
No proprietary DSL. Use the industry-standard Cypher query language to create, traverse, and mutate your graph. Results come back as structured JSON over HTTPS.
MATCH (p:Person)-[r:WORKS_AT]->(c:Company) WHERE c.name = "Acme Corp" RETURN p.name, r.since, c.industry
| p.name | r.since | c.industry |
|---|---|---|
| Alice | 2023-01 | Technology |
| Bob | 2024-06 | Technology |
| Carol | 2025-03 | Technology |
Most graph databases overwrite on mutation. Graphiquity keeps every version of every node and relationship. Pass atTime in your query request to get a consistent snapshot at any point in the past.
POST /query { "graph": "acme", "cypher": "MATCH (p:Person) RETURN p.role, p.team", "atTime": "2026-02-15T00:00:00Z" }
Traditional graph databases give you a snapshot — the current state. Graphiquity gives you the entire timeline. That unlocks capabilities that aren't possible anywhere else.
Send a query, get results. Every component is fully managed, scales independently, and requires zero configuration from you.
Graphiquity runs as a managed service or deploys into your own AWS account as a single unit — query engine, disk storage, and API. Your VPC, your security controls, your compliance boundary.
Get StartedatTime parameter, every node and relationship lookup resolves to the version that was active at that timestamp. Adjacency traversals, label scans, and pattern matching all operate on the resolved temporal snapshot. The query engine resolves time first, then traverses.atTime) return deterministic results — the same query with the same timestamp always returns the same data.