Every write is append-only. Add atTime to any Cypher query to see your graph exactly as it existed at that moment.
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.
Standard Cypher query language. Your team already knows it — no retraining, no proprietary DSL. MATCH, CREATE, SET, DELETE, MERGE, WHERE, ORDER BY, LIMIT. Your queries are portable.
Neo4j requires JVM tuning, heap sizing, cluster management, and a dedicated ops team. Graphiquity is a single HTTPS endpoint. Sign up, create a graph, start querying in under 60 seconds.
No clusters to provision. No connection pools to tune. No idle costs when traffic drops. Auto-scales with demand. You never touch a config file.
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.
Flat monthly fee. No idle cluster costs. No reserved capacity to manage. Hard limits on each plan — no surprise overage charges. Know exactly what you'll spend.
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.
No credit card required. Hard limits on every plan — no surprise overage charges. Upgrade when you need dedicated storage and production-grade isolation.
Graphiquity ships as a single deployable unit. Enterprise customers can deploy the entire stack — query engine, storage, and API — into their own AWS account. Your VPC, your security controls, your compliance boundary. We provide the software and support.
Talk to SalesatTime 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.