Track conversion
Follow visits through signup and activation, and see where users drop off.
Keep every event in one petabyte-scale database. Schemas flex as your events change; filter, search, aggregate, and join them any way you need.
Ask your agent to query ScopeDB and explain the results.
Query ScopeDB from your backend with your favorite language.
import { Client } from "scopedb";
const client = new Client(
process.env.SCOPEDB_ENDPOINT,
{
apiKey: process.env.SCOPEDB_API_KEY,
}
);
const query = "FROM events ORDER BY time DESC LIMIT 10";
const result = await client.query(query);
const events = result.toObjects();
console.log(events);func main() {
client, err := scopedb.NewClient(scopedb.Config{
Endpoint: os.Getenv("SCOPEDB_ENDPOINT"),
APIKey: os.Getenv("SCOPEDB_API_KEY"),
})
if err != nil { panic(err) }
defer client.Close()
query := "FROM events ORDER BY time DESC LIMIT 10"
result, err := client.Query(context.Background(), query)
if err != nil { panic(err) }
events, err := result.ToObjects()
if err != nil { panic(err) }
fmt.Println(events)
}#[tokio::main]
async fn main() {
let endpoint = std::env::var("SCOPEDB_ENDPOINT").unwrap();
let api_key = std::env::var("SCOPEDB_API_KEY").unwrap();
let client = scopedb_client::Client::builder(endpoint)
.api_key(api_key)
.build()
.unwrap();
let query = "FROM events ORDER BY time DESC LIMIT 10";
let result = client.query(query).await.unwrap();
let events = result.into_objects().unwrap();
println!("{events:?}");
}Turn query results into live charts and dashboards for humans to explore and share.
Follow visits through signup and activation, and see where users drop off.
Spot requests above your latency threshold, then trace the wait to logs and dependencies.
Follow parallel tool calls, a failed search, and its retry before the agent answers.
Retain petabytes of data and ingest millions of events per second.
Scale up for bursts and back down in quieter periods. Run ingestion and queries in separate compute groups over the same data.
Architecture
ScopeDB allows users to get insights in no time by eliminating the ETL process and enabling direct data analysis and exploration for multiple scenarios.

ScopeDB implements a real variant type system that supports both structured and semi-structured data. It provides a full-featured, flexible schema solution that allows users to reshape raw events into a semi-structured format during ingestion, query and index nested fields within the object column efficiently, and evolve the schema of existing tables online without downtime or data migration.

ScopeDB leverages cloud-native architecture to separate storage and compute, treating S3 as the primary storage layer and offering serverless resource groups to minimize TCO while maximizing performance.