If you're looking for a Jitsu alternative, one top contender is Airbyte. This open-source data integration service lets you move data from more than 300 sources to many destinations. It comes with features like automated schema evolution, security features like single sign-on and support for major regulations, and deployment flexibility. It's good for small and large-scale data integration projects and can be controlled through an interface, a Python library or Terraform provider.
Another top contender is Estuary. Estuary is a real-time data integration service that focuses on change data capture (CDC), ETL and streaming pipelines. It includes more than 100 no-code connectors for capturing data, stream-store-replay for storing and replaying data, and materialization for loading data into destinations. With sub-100ms end-to-end latency and automated pipelines, it's a good choice for fast DataOps with a pricing scheme that charges by the amount of data transferred and the number of active connectors.
If you're looking for a cloud-based service, Stitch offers a full ETL service that can integrate data from 140+ sources into cloud data warehouses. It offers fast data transfer, centralized data storage and enterprise-level security, making it a good fit for both data engineers and business analysts. Stitch supports a wide variety of data sources and offers flexible pricing tiers, making it easy for teams to get fresh data as quickly as possible.
You could also consider Fivetran, which automates data integration from more than 500 sources, including SaaS apps, databases and ERPs. It offers deployment options for different environments to ensure secure and compliant data integration. Fivetran supports real-time analytics and operational efficiency, and is geared for companies with more complex data integration needs.