Configure your Azure Blob Storage connection in Koodisi. Set up credentials, container references, and connection settings for use across all ABS activities in your workflows.

Retrieve metadata for any file stored in Azure Blob Storage — name, size, content type, and last modified timestamp — directly within a Koodisi workflow step.

Trigger a Koodisi workflow automatically when a file is created or updated in an Azure Blob Storage container. Ideal for event-driven file processing pipelines.

Add individual records to an active Koodisi batch job. Use within a loop or iterator to accumulate records for efficient bulk processing and reduced API call overhead.

Trigger a Koodisi workflow automatically when a batch job reaches a defined state — such as completion or failure. Enables event-driven post-processing and notification pipelines.

Iterate over all records in a Koodisi batch job and process each one sequentially or in parallel. Use as the entry point for batch ETL and bulk data workflows.

Check the current status of a Koodisi batch job — pending, processing, completed, or failed. Use for batch orchestration, monitoring, and conditional branching logic.

Compress one or more files into a ZIP or GZIP archive within a Koodisi workflow. Use to reduce storage footprint and bandwidth when transferring files to external systems.

Configure a relational database connection in Koodisi — supports PostgreSQL, MySQL, Oracle, and SQL Server. Reuse across all database activities with secure credential management.

Copy a file from one location to another within a Koodisi workflow. Use for archiving, backup, or staging files between processing steps in file-based integration pipelines.

A suite of cryptographic utilities in Koodisi for encrypting, decrypting, hashing, and signing data within workflows. Supports AES, RSA, and HMAC algorithms.

Configure CSV format settings — delimiters, quote characters, encoding, and header configuration — for consistent CSV parsing and generation across Koodisi workflow activities.

Convert CSV data to JSON format within a Koodisi workflow step. Configure delimiters, headers, and data types for accurate transformation in ETL and data pipelines.

Integrate REST API calls into your workflow seamlessly with RESTClient

Execute custom JavaScript or Groovy code within a Koodisi workflow step. Use for complex transformations, calculations, or logic that cannot be expressed with standard activities.

General-purpose data formatting activity that transforms, pads, masks, or restructures data fields within a Koodisi workflow for downstream system compatibility.

Delete one or more rows from a Koodisi Data Table matching a specified condition. Use to remove stale or processed records as part of data lifecycle management workflows.

Insert a new row into a Koodisi Data Table. Use to persist intermediate results, aggregated data, or workflow state that needs to be accessed across executions.

Query rows from a Koodisi Data Table using filter conditions and return matching records to downstream workflow activities for processing, routing, or transformation.

Remove all rows from a Koodisi Data Table in a single operation. Use for resetting state at the start of a new batch cycle or periodic data refresh workflow.

Update existing rows in a Koodisi Data Table matching a specified condition. Use to maintain current state, update processing flags, or enrich records during workflow execution.

Insert or update a row in a Koodisi Data Table based on a key field. Use for idempotent state management where the same record may be written multiple times.

Query a Koodisi Decision Table to apply business rules within a workflow. Match input fields against a configured rule set and return the matching output for routing or transformation.

Decrypt Base64-encoded encrypted data using a configured certificate in Koodisi. Use to securely process sensitive data received from external systems in your integration pipelines.

Delete a file from Azure Blob Storage as part of an automated cleanup or archival workflow. Supports dynamic file paths resolved at runtime.

Delete a completed or failed batch job and its records from the Koodisi batch store. Use for cleanup workflows to manage storage and maintain batch hygiene.

Delete a named resource context variable from the current Koodisi workflow execution scope. Use to clean up temporary state and free resources during workflow processing.

Delete a file from a remote SFTP server as part of an automated file management or archival workflow. Supports dynamic file paths resolved at runtime.

Encrypt plain text or structured data using a configured certificate and algorithm in Koodisi. Use to secure sensitive payloads before sending to external systems or storing in databases.

Mark the end of a scheduled Koodisi workflow or processing window. Use in conjunction with the Schedule activity to define the operational time boundary for timed workflows.

Execute a compiled code activity within a Koodisi workflow. Supports custom business logic, advanced data processing, and complex transformations beyond standard activity capabilities.

Retrieve metadata about the current Koodisi workflow execution — including execution ID, trigger source, start time, and instance details — for logging and audit trail purposes.

Pad or truncate output fields to a specified fixed width within a Koodisi workflow. Use for generating fixed-length records required by legacy mainframe or batch file systems.

Deliberately throw a controlled error within a Koodisi workflow to trigger error handling paths, dead-letter queues, or alerting logic. Use for explicit failure scenarios.

Read application-level configuration values from the Koodisi config store at workflow runtime. Use to externalise environment-specific settings without hardcoding in workflow logic.

Read the current value of a named workflow context variable in Koodisi. Use to retrieve state set earlier in the workflow execution for use in downstream activities.

Integrate REST API calls into your workflow seamlessly with RESTClient

Retrieve the last value stored under a named key in the Koodisi workflow execution context. Use for stateful processing patterns like running totals or last-seen values.

Read a resource context variable from the current Koodisi workflow scope. Use to retrieve shared state or connection handles configured earlier in the execution flow.

Connect to Gmail from within a Koodisi workflow. Trigger workflows from incoming emails, send automated email notifications, and parse email content as part of integration pipelines.

Read, write, and manage files in Google Drive from within a Koodisi workflow. Use for document-based workflows, report delivery, and enterprise collaboration integrations.

Read and write data to Google Sheets from within a Koodisi workflow. Use for lightweight data exchange, report generation, and connecting spreadsheet-based processes to enterprise systems.

Group records by a key field and compare sets across two datasets within a Koodisi workflow. Use for delta detection, reconciliation, and identifying additions, deletions, and changes.

Group a collection of records by one or more key fields within a Koodisi workflow. Use to aggregate, partition, or organise data before applying downstream transformation or routing logic.

Initialise a new batch job in Koodisi. Define batch metadata, size limits, and processing parameters before adding records for bulk ETL or data migration workflows.

Convert JSON data to CSV format within a Koodisi workflow. Configure column mappings, delimiters, and quoting rules for downstream file export or reporting workflows.

Convert JSON data to a fixed-width format for legacy system integration. Configure field positions, padding, and lengths for mainframe or fixed-record file outputs.

Convert JSON data to XML format for downstream systems that require XML input. Configure element names, namespaces, and schema mapping within a Koodisi workflow step.

List all files in an Azure Blob Storage container and iterate over them in downstream workflow steps. Filter by prefix or metadata for targeted processing.

List files on a remote SFTP server and iterate over them in downstream workflow steps. Use for automated file pickup, monitoring, or batch processing pipelines.

Write a structured log message from within a Koodisi workflow. Supports configurable log levels (INFO, WARN, ERROR) and dynamic message templates with workflow context variables.

Query a Koodisi lookup table by key and retrieve the matching value. Use for enriching workflow data with reference data — country codes, product mappings, routing rules.

Delete a specific entry from a Koodisi lookup table by key. Use to maintain lookup table hygiene and remove stale or expired reference data entries during workflow execution.

Insert or update an entry in a Koodisi lookup table. Use to maintain dynamic reference data that changes across workflow executions, such as counters, tokens, or flags.

Create, update, or manage a resource context variable within the current Koodisi workflow execution scope. Use to store and share connection handles or shared state across activities.

Map and transform data between source and destination schemas within a Koodisi workflow. Supports field mapping, type conversion, conditional logic, and expression-based transformations.

O Auth connector for Koodisi workflow automation. No code required.

Execute a SQL SELECT query against a relational database from within a Koodisi workflow. Map result sets to workflow variables for downstream processing and transformation.

Read file contents from Azure Blob Storage and pass the data to downstream activities. Supports text and binary files for ETL, processing, and transformation workflows.

Download and read a file from a remote SFTP server in a Koodisi workflow. Pass file contents to downstream transformation, parsing, or routing activities.

Read file or stream contents from a configured source within a Koodisi workflow. Supports large file handling via streaming for memory-efficient data processing and transformation.

Read file or stream contents from a configured source within a Koodisi workflow. Supports large file handling via streaming for memory-efficient data processing and transformation.

Receive a message from a configured channel or queue in a Koodisi workflow. Use in event-driven and message-based integration patterns to trigger downstream processing activities.

Mark an individual record within a Koodisi batch job as successfully processed. Enables accurate progress tracking, resumable processing, and idempotent batch workflows.

Return an HTTP response from a Koodisi workflow exposed as an API endpoint. Configure status code, headers, and response body to fulfil the calling system's expectations.

Make HTTP/REST API calls to any external endpoint from within a Koodisi workflow. Supports GET, POST, PUT, DELETE with OAuth 2.0, API key, and basic auth. Map JSON/XML responses directly to workflow variables.

Expose a Koodisi workflow as an HTTP endpoint. Configure request/response schemas and host internal APIs that trigger automation logic when called by external systems.

Configure retry behaviour for a Koodisi workflow step — set max attempts, backoff strategy, and retry conditions. Use to handle transient failures in external API or database calls.

Configure your Amazon S3 connection in Koodisi — set up AWS credentials, region, and bucket references for use across all S3 activities in your integration workflows.

Delete objects from an Amazon S3 bucket as part of automated data lifecycle or cleanup workflows. Supports dynamic object keys resolved at workflow runtime.

Trigger a Koodisi workflow automatically when a new object is created or updated in an Amazon S3 bucket — ideal for event-driven data ingestion pipelines.

List objects in an Amazon S3 bucket and process them in downstream workflow steps. Filter by prefix or metadata to target specific files for batch processing.

Read an object from Amazon S3 and pass its contents to downstream workflow activities. Supports text and binary data for ETL, transformation, and processing pipelines.

Write or upload an object to Amazon S3 from a Koodisi workflow. Use to persist processed data, reports, or transformed outputs to scalable cloud object storage.

Save a named resource context variable to the current Koodisi workflow execution scope. Use to store connection handles or shared objects for reuse across downstream activities.

Trigger a Koodisi workflow on a configured schedule using cron or interval expressions. Use for time-based automation, periodic data sync, and scheduled report generation.

Send a message to a configured channel or queue from within a Koodisi workflow. Use in publish-subscribe and event-driven integration patterns for asynchronous cross-system communication.

Send data or events to Koodisi Engage from within a workflow. Use to trigger downstream engagement actions, notifications, or customer journey events from integration pipelines.

Update one or more workflow context variables in the current Koodisi execution scope. Use to store intermediate values and pass state between activities in a workflow.

Store a value under a named key in the Koodisi workflow execution context for later retrieval. Use for stateful processing patterns like accumulating results across iterations.

Configure a secure SFTP server connection in Koodisi. Set host, port, credentials, and key-based authentication for use across all SFTP file transfer activities.

Invoke a reusable Koodisi sub-workflow from within a parent workflow. Encapsulate common logic into sub-flows for modularity, reuse, and cleaner workflow architecture.

Compare two tabular datasets and identify rows that have been added, updated, or deleted. Use in data synchronisation workflows to process only the changed records.

Test connector for Koodisi workflow automation. No code required.

Decompress a ZIP or GZIP archive within a Koodisi workflow and extract the contents for downstream processing. Use in file ingestion pipelines that receive compressed payloads.

Update a named workflow variable in the current Koodisi execution scope. Use to track state, counters, flags, or intermediate results as workflow logic progresses.

Insert or update records in a relational database using a configurable upsert strategy. Ideal for syncing master data from upstream systems into your database of record.

Apply a named connection profile to a Koodisi workflow activity. Profiles centralise credential and configuration management, enabling environment-specific deployments without code changes.

Verify a digital signature against a payload using a configured certificate in Koodisi. Use to authenticate inbound data from external systems and ensure tamper-proof message integrity.

Pause a Koodisi workflow execution for a configured duration before proceeding to the next activity. Use for rate limiting, polling intervals, and time-based orchestration logic.

Receive inbound HTTP webhook events to trigger Koodisi workflows in real time. Configure endpoint paths, authentication, and payload parsing for event-driven automation.

Write or upload a file to Azure Blob Storage from a Koodisi workflow. Use to persist processed data, reports, or transformed files to cloud storage.

Upload a file to a remote SFTP server from a Koodisi workflow. Use to deliver processed data, reports, or outputs to partner systems via secure file transfer.

Write data as a stream to a configured destination in a Koodisi workflow. Use for generating large output files, streaming processed data, or writing to file-based sinks.

Write data as a stream to a configured destination in a Koodisi workflow. Use for generating large output files, streaming processed data, or writing to file-based sinks.

Convert XML data to JSON format within a Koodisi workflow. Configure namespace handling and element mapping for seamless transformation in integration pipelines.

Convert XML data to JSON format within a Koodisi workflow. Configure namespace handling and element mapping for seamless transformation in integration pipelines.