Automate the flow between your data lake and event streams. Stop writing custom connectors to move files from S3 into Kafka topics or archive streaming data to object storage. Redbird AI orchestrates both directions automatically.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
When new files land in S3 buckets—logs, exports, or pipeline outputs—Redbird automatically reads, parses, and publishes records to designated Kafka topics. Transform CSV, JSON, or Parquet files into streaming events without building custom consumers.
Continuously consume messages from Kafka topics and write them to S3 in optimized formats like Parquet or compressed JSON. Redbird handles batching, partitioning by time or key, and automatic file rotation for efficient querying.
Monitor specific S3 prefixes for new or modified objects and publish metadata or content events to Kafka. Enable downstream consumers to react immediately when ETL jobs complete or new datasets arrive in your data lake.
Read historical event data stored in S3 and republish it to Kafka topics for backfill testing, debugging, or reprocessing pipelines. Redbird maintains ordering and handles schema evolution between archived and current formats.
Capture high-volume clickstream, sensor, or log events from Kafka and write them to S3 in formats optimized for Athena, Spark, or ML frameworks. Automatically partition by date, user cohort, or event type for efficient downstream queries.
Pull dimension tables, lookup files, or configuration data from S3 and enrich streaming Kafka messages in real time. Redbird caches S3 data intelligently and refreshes when source files change, keeping enrichment accurate without manual coordination.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Amazon S3 and Kafka with OAuth or API credentials. Redbird never stores your data — it just passes through.
Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.
Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.
Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.
Redbird understands S3 object structures and Kafka topic schemas, so you can connect storage and streaming infrastructure without writing Kafka Connect plugins or managing custom Lambda functions.
Redbird automatically detects file formats in S3—CSV headers, JSON schemas, Parquet column types—and maps them to Kafka message structures. It handles schema evolution between archived files and active topics, manages offset tracking when consuming from Kafka, and optimizes file batching when writing back to S3. No need to configure serializers, maintain Avro registries separately, or write custom partitioning logic.
faster than building Kafka Connect S3 sink/source connectors
Redbird can pull from Amazon S3 and Kafka simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.
Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either Amazon S3 or Kafka.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Amazon S3 into Kafka, or from Kafka back into Amazon S3. Resolve conflicts with configurable merge rules.
Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.
Start workflows from S3 bucket events or Kafka topic messages, then automate reads, writes, and transformations across both platforms.
Fires when a new file is uploaded to a specified S3 bucket or prefix path.
Triggers when an existing S3 object is modified or replaced with a new version.
Detects when files are removed from S3, enabling cleanup or notification workflows.
Write new objects to S3 buckets with custom keys, metadata tags, and storage classes.
Retrieve file contents from S3, automatically parsing CSV, JSON, Parquet, or text formats.
Transfer S3 objects across buckets or prefixes, preserving or updating metadata as needed.
Fires when a message arrives in a specified Kafka topic, with offset tracking for reliable consumption.
Monitors Kafka consumer group lag and triggers alerts or scaling workflows when backlog grows.
Detects Kafka partition reassignments, enabling monitoring or automated recovery processes.
Publish events to Kafka with custom keys, headers, and partition routing for stream processing.
Read multiple messages from Kafka topics in a single operation, with offset management and acknowledgment.
Modify topic settings like retention, partitions, or replication factor programmatically through automation.
Sync Amazon S3 and Kafka in minutes with Redbird AI. Stop maintaining Kafka Connect clusters and start automating real-time pipelines between storage and streaming infrastructure.