From 3eae31b34ba6f733044da92f61ad4dc3f5adad20 Mon Sep 17 00:00:00 2001 From: Marta Paes Date: Tue, 12 Sep 2023 09:58:28 -0400 Subject: [PATCH] Minimal `README.md` updates for ODW (#21711) --- README.md | 19 +++++++++++++------ 1 file changed, 13 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index 7946e33224b06..340ca9c653b3b 100644 --- a/README.md +++ b/README.md @@ -2,13 +2,20 @@ [![Doc reference](https://img.shields.io/badge/doc-reference-orange)](https://materialize.com/docs) [![Chat on Slack](https://img.shields.io/badge/chat-on%20slack-purple)](https://materialize.com/s/chat) -[](https://materialize.com) +[](https://materialize.com) -Materialize is a streaming database powered by [Timely](https://github.com/TimelyDataflow/timely-dataflow#timely-dataflow) and [Differential Dataflow](https://github.com/timelydataflow/differential-dataflow#differential-dataflow), purpose-built for low-latency applications. It lets you use SQL to ask complex questions about your data, and then updates the results of your SQL queries incrementally as the underlying data changes. +Materialize is a **data warehouse** purpose-built for **operational workloads** +where an analytical data warehouse would be too slow, and a stream processor +would be too complicated. -## Sign up for Access +Using SQL and common tools in the wider data ecosystem, Materialize allows you +to build real-time automation, engaging customer experiences, and interactive +data products that drive value for your business while reducing the cost of +[data freshness](https://materialize.com/blog/decouple-cost-and-freshness/). -Ready to get hands-on with Materialize? [Sign up](https://materialize.com/register/) to get started! 🚀 +## Sign up + +Ready to try out Materialize? [Sign up](https://materialize.com/register/) to get started! 🚀 ## About @@ -20,11 +27,11 @@ We support a large fraction of PostgreSQL, and are actively working on supportin ## Get data in -Materialize can read data from [Kafka](https://materialize.com/docs/sql/create-source/kafka/) and [Redpanda](https://materialize.com/docs/integrations/redpanda/), as well as directly from a [PostgreSQL](https://materialize.com/docs/sql/create-source/postgres/) replication stream. It also supports regular database tables to which you can insert, update, and delete rows. +Materialize can read data from [Kafka](https://materialize.com/docs/sql/create-source/kafka/) (and other Kafka API-compatible systems like [Redpanda](https://materialize.com/docs/integrations/redpanda/)), directly from a [PostgreSQL](https://materialize.com/docs/sql/create-source/postgres/) replication stream, or from SaaS applications [via webhooks](https://materialize.com/docs/sql/create-source/webhook/). It also supports regular database tables to which you can insert, update, and delete rows. ## Transform, manipulate, and read your data -Once you've got the data in, define views and perform reads via the PostgreSQL protocol. Use your favorite PostgreSQL CLI, including the `psql` you probably already have on your system. +Once you've got the data in, define views and perform reads via the PostgreSQL protocol. Use your favorite SQL client, including the `psql` you probably already have on your system. Materialize supports a comprehensive variety of SQL features, all using the PostgreSQL dialect and protocol: