Real-time data integration from any source to any destination
Connect, join, integrate, and deliver from any web data sources with Datastreamer’s Pipeline platform.
Data Migration: Automated
Datastreamer platform can help eliminate the need for traditional data migration projects. Connect your data from and to with one of the many supported technologies.
Use Datastreamer pipelines to build and automate complex data migration projects. Flexible tooling lets you build and manage your data flows. Making an entire migration project repeatable, scheduled, or processing in real-time.
01. No Code Connections
Use drag-and-drop simplicity to connect your data sources, ingress, and egress capabilities in minutes.
You no longer need to build the connections required to power your data pipelines.
Library of ready-to-go capabilities
Effortlessly connect to a wide range of data sources and destinations for smooth data ingestion and delivery. Our pipeline supports popular cloud services, leading web data providers, and many others, with new integrations being added every day.
Datastreamer Capabilites
Datastreamer’s team has built “Unify” capabilities that are ready-to-add which handle the transformation of hundreds of data transformation scenarios instantly.
Simplify your schema
Convert all of the data you work with to structured, formatted, and unified data. Use the Datastreamer default schema or use your own schema to simplify your workflows.
02. Compatibility Solved
With integrated Transformation capabilities already in your Pipelines, compatibility is solved.
Easily support and use multiple ingress/egress adapters
Connect to data sources
Effortlessly connect to a wide range of data source providers from across the platform ecosystem to meet every new web data requirement need.
Connect to databases
Ready to use components to database providers, elt providers, and data lake providers allows you to accelerate without replacing existing workflows.
Connect to cloud storages
Ready to use integration components to Cloud Storage Providers (Google Cloud Storage, Azure Storage, AWS S3, etc.), allows you to use your existing storage solutions.
03. Automate Movement with Jobs
With pre-integrated Job management, you can trigger, automate, replicate, scale, and simplify bringing data from A to B.
Use triggers, scanning, queries, scheduling, and other methods to constantly and automatically ensure your data pipelines have the required data. Effortlessly scale into the billions of records per month.
Automated Triggering
Keep data in sync by automatically scanning for matching data criteria and automatically ingest into your pipelines.
Automate data Jobs
Schedule, standardize, and automate the triggering of data collection requires through Jobs to ingest needed data.
Manage complex Jobs
With robust Job management systems, you can easily see the status of all your data ingestion, triggering, debugging for your data jobs.
04. Infrastructure Automation
Underlying every Pipeline you build on Datastreamer is the powerful Datastreamer platform. Built to handle trillions of pieces of content, and trusted by market leaders, your pipelines are solid.
Full Control
Leverage debugging, logging, monitoring, alerting, and a robust toolkit gives you full confidence in your Pipeline performance and configuration.
Automated Scaling
Built to handle ingestion of countless realtime data feeds for threat intelligence use cases, your pipelines with automatically scale and adapt to your data volumes
Automated Recovery
When you edit your pipelines, add capabilities, create new jobs, or other capabilities. The Datastreamer platform handles your pipeline to ensure seamless iterations.
Meet Malek - Software engineering expert
Malek Altwitz is a founding software engineer at Datastreamer, and helped create this page. The team at Datastreamer is built from industry veterans, and Malek helped create the data integration systems from the earliest releases.
Simply powerful: How Datastreamer accelerates data movement.
Datastreamer platform can help your organization accelerate your pipelines.