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Enterprise Layer Intelligence
Categories/Data Platform & Integration/Striim
Striim

Striim

Founded 2012

Stream and integrate database events into cloud warehouses in real time

You can use Striim to continuously move data from on-premise systems and cloud databases into modern data stores. The service captures real-time changes directly from databases like Oracle, SQL Server, and MySQL without overloading production systems. You can transform records using streaming SQL queries while data travels in flight, filter unwanted records, and format data for analytics or machine learning. It also lets you monitor pipeline health, track latency metrics, and synchronize multi-cloud environments to prevent downtime across critical business applications.

What Striim does

Set up change data capture pipelines from source databasesExecute streaming SQL queries to join live events with cached dataMonitor data latency and event throughput across active pipelinesConfigure alerts for pipeline errors and schema mismatchesSync transactional database tables to cloud data warehousesRoute event streams to Kafka topics and message queuesReal-time change data capture from databasesIn-flight data transformations using streaming SQLAutomatic schema drift detection and managementPre-built connectors for major relational databases and cloud warehousesLive pipeline latency and throughput health monitoringReplication between on-premise and multi-cloud storage systemsGeneration of AI-ready vectors from operational data

Frequently asked

AWSAWSGoogle CloudGoogle CloudMicrosoft AzureMicrosoft AzureDatabricksDatabricksSnowflakeSnowflakeClickHouseClickHouseMongoDBMongoDBOracleOraclePostgreSQLPostgreSQLSalesforceSalesforceServiceNowServiceNowStripeStripeZendeskZendeskHubSpotHubSpot

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Striim, change data capture, real-time data streaming, data integration, data pipelines, streaming SQL, database replication, Snowflake, BigQuery, Databricks, Kafka, CDC, cloud migration, data sync, schema evolution