If you need a data integration platform with a free tier and pricing that scales with data ingestion and connectors, Estuary is a good choice. It can integrate data in real time with features like 100+ no-code connectors, stream-store-replay for data storage and replay, and materialization for data loading. Estuary charges by the amount of change data ingested per month and the number of active connectors, with a free tier. That's good for DataOps agility and flexible data integration needs.
Another good option is Airbyte, an open-source data integration platform that supports more than 300 structured and unstructured data sources. It has a Connector Builder for custom connectors, automated schema evolution, and security features that meet major standards. Airbyte can be deployed in cloud-hosted or self-managed configurations, and it can be managed with an easy-to-use UI or Python library. Its pricing adapts to the amount of data ingested, so it's good for small-scale and large-scale data integration needs.
If you need real-time data integration with high-throughput streaming ingestion, SingleStore is an option. It can handle petabyte-scale data sets and has millisecond query performance, which is good for intelligent applications like generative AI and real-time analytics. SingleStore charges by usage, with a free tier and standard/enterprise pricing plans, so you can scale up or down as needed and pay only for what you use.
Last, Fivetran offers a wide range of automated data integration options, with support for more than 500 sources including SaaS apps and databases. With options for fully-managed SaaS, hybrid and self-hosted options, Fivetran can help you integrate data securely across different environments. Its pricing is flexible, with a free trial and custom enterprise plans for more complex data integration and analysis.