#Materialize db how to#
#Materialize db driver#
#Materialize db license#
#Materialize db free#

#Materialize db free#

As stated in the BSL, Materialize is free forever on a single node.

#Materialize db license#

Materialize is source-available and licensed under the BSL 1.1, converting to the open-source Apache 2.0 license after 4 years. Push based: Or configure Materialize to stream results to a Kafka topic as soon as the views change. Tell them they're talking to a PostgreSQL database, they don't ever need to know otherwise.

#Materialize db driver#

Pull based: Use any PostgreSQL-compatible driver in any language/environment to make SELECT queries against your views. You can type SELECT * FROM tpch_q15 and expect to see the current results immediately! Get data out Stream inserts, updates, and deletes on the underlying tables ( lineitem and supplier), and Materialize keeps the materialized view incrementally updated. Materialized views are maintained automatically, and can depend on non-materialized views.Д¬REATE MATERIALIZED VIEW tpch_q15 AS SELECT L_shipdate >= DATE ' ' AND l_shipdate < DATE ' ' + INTERVAL '3 ' month CREATE VIEW revenue (supplier_no, total_revenue) AS SELECT Views define commonly reused subqueries. Here's an example join query that works fine in Materialize, TPC-H query 15:

#Materialize db how to#

Multiple views that have overlapping subplans can share underlying indices for space and compute efficiency, so just declaratively define what you want, and we'll worry about how to efficiently maintain them.

Materialize automatically plans lateral joins for efficient jsonb_each support.

JSON support in the PostgreSQL dialect including operators and functions like ->, ->, ?, jsonb_array_element, jsonb_each.

GROUP BY, MIN, MAX, COUNT, SUM, STDDEV, HAVING, etc. Materialize can incrementally maintain views in the presence of arbitrary inserts, updates, and deletes.

Materialize supports streams that contain CDC data (currently supporting the Debezium format).

Materialize's SQL optimizer performs subquery decorrelation out-of-the-box, avoiding the need to manually rewrite subqueries into joins.

Delta-joins avoid intermediate state blowup compared to systems that can only plan nested binary joins - tested on joins of up to 64 relations.

Joins, Joins, Joins! Materialize supports multi-column join conditions, multi-way joins, self-joins, cross-joins, inner joins, outer joins, etc.

Materialize supports a comprehensive variety of SQL features, all using the PostgreSQL dialect and 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. Transform, manipulate, and read your data Materialize can read data from Kafka topics, Kinesis streams (in preview), or tail local files. Materialize reads Avro, Protobuf, JSON, and newline-delimited text. Please file an issue if there's something that you expected to work that didn't! Get data in We support a large fraction of PostgreSQL, and are actively working on supporting more builtin PostgreSQL functions. Materialize is powered by timely dataflow, which connects the times at which your inputs change with the times of answers reported back to you. Materialize does all of this by recasting your SQL92 queries as dataflows, which can react efficiently to changes in your data as they happen.

Whenever Materialize answers a query, that answer is the correct result on some specific (and recent) version of your data. It does not ask you to accept either approximate answers or eventual consistency.

Materialize focuses on providing correct and consistent answers with minimal latency. Materialize is designed to help you interactively explore your streaming data, perform data warehousing analytics against live relational data, or just increase the freshness and reduce the load of your dashboard and monitoring tasks. The moment you need a refreshed answer, you can get it in milliseconds. Materialize lets you ask questions of your live data, which it answers and then maintains for you as your data continue to change. Get startedД¬heck out our getting started guide. Materialize is a streaming database for real-time applications.