Dafthunk
Dafthunk is a visual workflow automation platform that lets users build, manage, and deploy serverless automation workflows using a drag-and-drop editor without needing to set up infrastructure or use containers. Workflows are constructed by visually connecting nodes that perform tasks across AI, browser automation, data processing, media generation, integrations, and developer tools, and then executed on Cloudflare’s global edge network with built-in scaling and durable execution. It supports workflow triggers including HTTP webhooks, queues, cron schedules, and manual starts, enabling event-driven, time-based, and custom-initiated automation. It includes persistent workflow state storage and execution history using Cloudflare D1 and R2 storage services. Users can incorporate AI models from providers like OpenAI, Anthropic, Google, and Cloudflare AI for text generation, summarization, vision, NLP, transcription, image creation, and more.
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Logflare
Never get surprised by a logging bill again, collect for years, query in seconds. Costs escalates quickly with typical log management solutions. To setup long term analytics on events you need to archive to a CSV and setup another data pipeline to ingest events into a custom tailored data warehouse. With Logflare and BigQuery there is no setup for long term analytics. You can ingest immediately, query in seconds and store data for years. Use our Cloudflare app and catch every request to your web service no matter what. Our Cloudflare App worker doesn't modify your request, it simply pulls the request/response data and logs to Logflare asynchronously after passing your request through. Want to monitor your Elixir app? Our library adds minimal overhead. We batch logs and use BERT binary serialization to keep payload size and serialization load low. When you sign in with your Google account, we give you access to your underlying BigQuery table.
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Apache Iceberg
Iceberg is a high-performance format for huge analytic tables. Iceberg brings the reliability and simplicity of SQL tables to big data, while making it possible for engines like Spark, Trino, Flink, Presto, Hive and Impala to safely work with the same tables, at the same time. Iceberg supports flexible SQL commands to merge new data, update existing rows, and perform targeted deletes. Iceberg can eagerly rewrite data files for read performance, or it can use delete deltas for faster updates. Iceberg handles the tedious and error-prone task of producing partition values for rows in a table and skips unnecessary partitions and files automatically. No extra filters are needed for fast queries, and the table layout can be updated as data or queries change.
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Tabular
Tabular is an open table store from the creators of Apache Iceberg. Connect multiple computing engines and frameworks. Decrease query time and storage costs by up to 50%. Centralize enforcement of data access (RBAC) policies. Connect any query engine or framework, including Athena, BigQuery, Redshift, Snowflake, Databricks, Trino, Spark, and Python. Smart compaction, clustering, and other automated data services reduce storage costs and query times by up to 50%. Unify data access at the database or table. RBAC controls are simple to manage, consistently enforced, and easy to audit. Centralize your security down to the table. Tabular is easy to use plus it features high-powered ingestion, performance, and RBAC under the hood. Tabular gives you the flexibility to work with multiple “best of breed” compute engines based on their strengths. Assign privileges at the data warehouse database, table, or column level.
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