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Materialize Alternatives
Similar projects and alternatives to materialize
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Stream
Stream - Scalable APIs for Chat, Feeds, Moderation, & Video. Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
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Hasura
Blazing fast, instant realtime GraphQL APIs on all your data with fine grained access control, also trigger webhooks on database events.
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prql
PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement
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debezium
Change data capture for a variety of databases. Please log issues at https://issues.redhat.com/browse/DBZ.
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redpanda
Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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octosql
OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
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readyset
Readyset is a MySQL and Postgres wire-compatible caching layer that sits in front of existing databases to speed up queries and horizontally scale read throughput. Under the hood, ReadySet caches the results of cached select statements and incrementally updates these results over time as the underlying data changes.
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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.
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materialize-tutorials
Materialize is a streaming database for real-time analytics. This is a collection of Materialize demos and tutorials.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better materialize alternative or higher similarity.
materialize discussion
materialize reviews and mentions
Posts with mentions or reviews of materialize.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2025-06-13.
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The Missing Manual for Signals: State Management for Python Developers
This triggered some associations for me.
Strongest was Cells[0], a library for Common Lisp CLOS. The earliest reference I can find is 2002[1], making it over 20 years old.
Second is incremental view maintenance systems like Feldera[2] or Materialize[3]. These use sophisticated theories (z-sets and differential dataflow) to apply efficient updates over sets of data, which generalizes the case of single variables.
The third thing I'm reminded of is Modelica[4], a language where variables are connected by relations (in the mathematical sense). So A = B + C can update on demand and, as well, you can update just A and B, then find out what C must have become.
[0] https://cells.common-lisp.dev
[1] https://web.archive.org/web/20021216222614/http://www.tilton...
[2] https://www.feldera.com
[3] https://materialize.com
[4] https://modelica.org
- Ask HN: What's your go-to message queue in 2025?
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Turning the Database Inside-Out
https://materialize.com/ provides another approach, based on "timely dataflow" (https://timelydataflow.github.io/timely-dataflow/) - originated at MS.
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Category Theory in Programming
It's hard to write something that is both accessible and well-motivated.
The best uses of category theory is when the morphisms are far more exotic than "regular functions". E.g. it would be nice to describe a circuit of live queries (like https://materialize.com/ stuff) with proper caching, joins, etc. Figuring this out is a bit of an open problem.
Haskell's standard library's Monad and stuff are watered down to the point that they are barely category theory, but they are also quite useful and would not have been readily invented without category theory. See even if you have no taste for "abstract nonsense", maybe you can still accept the fact that its left a trail of more accessible "semi-abstract semi-nonsense" in its wake.
This stuff takes time. If it's not your cup of tea, no need to make yourself an early adopter. See also things like Lean where fancy type systems are finally reaching "regular non-CS" mathematicians with great success.
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Building Databases over a Weekend
I agree. So many disparate solutions. The streaming sql primitives are by themselves good enough (e.g. `tumble`, `hop` or `session` windows), but the infrastructural components are always rough in real life use cases.
crossing fingers for solutions like `https://github.com/feldera/feldera` to be wrapped in a nice database, `https://materialize.com/` to solve their memory issues, or `https://clickhouse.com/docs/en/materialized-view` to solve reliable streaming consumption.
Various streaming processing frameworks often have domain specific languages with a lot of limitations of how to express aggregations and transformations.
- Drasi: Microsoft's open source data processing platform for event-driven systems
- Rama on Clojure's terms, and the magic of continuation-passing style
- Feldera Incremental Compute Engine
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Ask HN: Who is hiring? (July 2024)
Materialize | https://materialize.com/ | Staff Security Engineer 200k | $200- 230k
NYC (HQ) or United States
We are looking for a Staff Security Engineer on our Cloud team who will own the security of our infrastructure and product. (5+) years of experience as a security-focused engineer.
https://boards.greenhouse.io/materialize/jobs/5220351004
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The Notifier Pattern for Applications That Use Postgres
Those updates are not retroactive. They apply on a go forward basis. Each day's changes become Apache 2.0 licensed on that day four years in the future.
For example, v0.28 was released on October 18, 2022, and becomes Apache 2.0 licensed four years after that date (i.e., 2.5 years from today), on October 18, 2026.
[0]: https://github.com/MaterializeInc/materialize/blob/76cb6647d...
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A note from our sponsor - SaaSHub
www.saashub.com | 18 Jul 2025
Stats
Basic materialize repo stats
129
6,047
10.0
2 days ago
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.
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