There's a pretty big difference to a point that Landoop's KCQL (Kafka Connect Query Language) and Confluent's KSQL (Streaming SQL for Apache Kafka) are two different products.

- KSQL is a full-fledged Streaming SQL engine for all kinds of stream processing operations from windowed aggregations, stream-table joins, sessionization and much more. So it does more powerful stream processing on Kafka than what Landoop's product supports which is simple projections and filters.

- KSQL can do that because it supports streams and tables as first-class constructs and tightly integrates with Kafka's Streams API and the Kafka log itself. We are not aware of any other products that do that today, including Landoop's tool.

- We will add support for Kafka connectors so you can stream data from different systems into Kafka through KSQL. This will cover what Landoop intended with KCQL (Kafka Connect Query Language.

- Confluent works with several very large enterprises and many of the companies that have adopted Kafka. We worked with those customers to learn what would solve real business problems and used that feedback to build KSQL. So it . models on real-world customer feedback.

- We'd love to hear feedback. Here's the repository https://github.com/confluentinc/ksql and here's the Slack Channel slackpass.io/confluentcommunity - #ksql

Hope that helps!