SaaSHub helps you find the best software and product alternatives Learn more →
Materialize Alternatives
Similar projects and alternatives to materialize
-
-
risingwave
The streaming database: redefining stream processing 🌊. PostgreSQL-compatible, highly performant, scalable, elastic, and reliable ☁️.
-
InfluxDB
Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.
-
redpanda
Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!
-
readyset
ReadySet is a transparent database cache for Postgres & MySQL that gives you the performance and scalability of an in-memory key-value store without requiring that you rewrite your app or manually handle cache invalidation. Based on the Noria project from MIT. Built using Rust. 🚀
-
differential-datalog
DDlog is a programming language for incremental computation. It is well suited for writing programs that continuously update their output in response to input changes. A DDlog programmer does not write incremental algorithms; instead they specify the desired input-output mapping in a declarative manner.
-
materialize-tutorials
Materialize is a streaming database for real-time analytics. This is a collection of Materialize demos and tutorials.
-
openpilot
openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for 250+ supported car makes and models.
-
Onboard AI
Learn any GitHub repo in 59 seconds. Onboard AI learns any GitHub repo in minutes and lets you chat with it to locate functionality, understand different parts, and generate new code. Use it for free at www.getonboard.dev.
-
-
-
differential-dataflow
An implementation of differential dataflow using timely dataflow on Rust.
-
-
dbt-expectations
Port(ish) of Great Expectations to dbt test macros
-
octosql
OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
-
-
-
Hasura
Blazing fast, instant realtime GraphQL APIs on your DB with fine grained access control, also trigger webhooks on database events.
-
debezium
Change data capture for a variety of databases. Please log issues at https://issues.redhat.com/browse/DBZ.
-
pg_ivm
IVM (Incremental View Maintenance) implementation as a PostgreSQL extension
-
-
roapi
Create full-fledged APIs for slowly moving datasets without writing a single line of code.
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
materialize reviews and mentions
-
We Built a Streaming SQL Engine
Some recent solutions to this problem include Differential Dataflow and Materialize. It would be neat if postgres adopted something similar for live-updating materialized views.
-
Ask HN: Who is hiring? (October 2023)
Materialize | Full-Time | NYC Office or Remote | https://materialize.com
Materialize is an Operational Data Warehouse: A cloud data warehouse with streaming internals, built for work that needs action on what’s happening right now. Keep the familiar SQL, keep the proven architecture of cloud warehouses but swap the decades-old batch computation model for an efficient incremental engine to get complex queries that are always up-to-date.
Materialize is the operational data warehouse built from the ground up to meet the needs of modern data products: Fresh, Correct, Scalable — all in a familiar SQL UI.
Senior/Staff Product Manager - https://grnh.se/69754ebf4us
Senior Frontend Engineer - https://grnh.se/7010bdb64us
===
Investors include Redpoint, Lightspeed and Kleiner Perkins.
-
Ask HN: Who is hiring? (June 2023)
Materialize | EM (Compute), Senior PM | New York, New York | https://materialize.com/
You shouldn't have to throw away the database to build with fast-changing data. Keep the familiar SQL, keep the proven architecture of cloud warehouses, but swap the decades-old batch computation model for an efficient incremental engine to get complex queries that are always up-to-date.
That is Materialize, the only true SQL streaming database built from the ground up to meet the needs of modern data products: Fresh, Correct, Scalable — all in a familiar SQL UI.
Engineering Manager, Compute - https://grnh.se/4e14099f4us
Senior Product Manager - https://grnh.se/587c36804us
VP of Marketing - https://grnh.se/9caac4b04us
- What are your favorite tools or components in the Kafka ecosystem?
- Ask HN: Who is hiring? (May 2023)
-
Dozer: A scalable Real-Time Data APIs backend written in Rust
How does it compare to https://materialize.com/ ?
- Ask HN: Who is hiring? (April 2023)
-
Postgres: The Graph Database You Didn't Know You Had
Quine seems to be an interesting project but I'm not too familiar with it. Its main feature, evaluating complex multi-way join queries on incoming streaming data, exists in the relational world as the Materialize database which leverages differential dataflow for computation.
Quine uses Cypher so expressing path queries can be done with the concise Kleene-star syntax, e.g. (p1:Person)-[:knows*]-(p2:Person).
Materalize is getting support for WITH RECURSIVE and WITH MUTUALLY RECURSIVE (their own SQL extension that fixes some issues of WITH RECURSIVE):
-
Query Real Time Data in Kafka Using SQL
Most streaming database technologies use SQL for these reasons: RisingWave, Materialize, KsqlDB, Apache Flink, and so on offering SQL interfaces. This post explains how to choose the right streaming database.
-
How to choose the right streaming database
Materialize.
-
A note from our sponsor - #<SponsorshipServiceOld:0x00007f0fa15e3eb0>
www.saashub.com | 8 Dec 2023
Stats
MaterializeInc/materialize is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of materialize is Rust.