If you're looking for something to replace Synthflow AI, Estuary is a good option. Estuary is a real-time data integration platform that handles change data capture, ETL and streaming pipelines. It's got a lot of features, including more than 100 no-code connectors, stream-store-replay for storing and replaying data, and materialization for loading data into destinations. With sub-100ms end-to-end latency and flexible materializations, Estuary is a good fit for DataOps.
Another good option is Dataloop, an AI development platform that handles data curation, model management, pipeline orchestration and human feedback. It's designed to speed up AI application development with automated preprocessing, embeddings for similarity detection and a function-as-a-service for custom code. Dataloop supports a variety of unstructured data formats and has strong security controls, so it's a good option for improving collaboration and speeding up development.
If you're looking for a no-code option, check out Tabula. The platform is geared for business and data teams to combine, transform and visualize data. It has automated workflows, standardized data, custom metrics and real-time insights. Tabula has a simple interface that's good for both tech-savvy and non-tech-savvy people, and it can be used as on-premise, cloud or desktop applications.
Last, Airbyte is a powerful open-source data integration platform that can move data from more than 300 sources to many destinations. It has automated schema evolution, integrations with popular services and strong security controls. Airbyte can be used in many ways, including flexible deployment options and a simple interface for management through its UI, Python library or Terraform provider, so it's good for a wide range of data integration needs.