ClickHouse VS materialize

Compare ClickHouse vs materialize and see what are their differences.

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ClickHouse materialize
207 116
33,712 5,543
2.4% 1.1%
10.0 10.0
41 minutes ago 1 day ago
C++ Rust
Apache License 2.0 GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

ClickHouse

Posts with mentions or reviews of ClickHouse. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-24.

materialize

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 2024-02-10.
  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    10 projects | dev.to | 10 Feb 2024
    To fully leverage the data is the new oil concept, companies require a special database designed to manage vast amounts of data instantly. This need has led to different database forms, including NoSQL databases, vector databases, time-series databases, graph databases, in-memory databases, and in-memory data grids. Recent years have seen the rise of cloud-based streaming databases such as RisingWave, Materialize, DeltaStream, and TimePlus. While they each have distinct commercial and technical approaches, their overarching goal remains consistent: to offer users cloud-based streaming database services.
  • Proton, a fast and lightweight alternative to Apache Flink
    7 projects | news.ycombinator.com | 30 Jan 2024
    > Materialize no longer provide the latest code as an open-source software that you can download and try. It turned from a single binary design to cloud-only micro-service

    Materialize CTO here. Just wanted to clarify that Materialize has always been source available, not OSS. Since our initial release in 2020, we've been licensed under the Business Source License (BSL), like MariaDB and CockroachDB. Under the BSL, each release does eventually transition to Apache 2.0, four years after its initial release.

    Our core codebase is absolutely still publicly available on GitHub [0], and our developer guide for building and running Materialize on your own machine is still public [1].

    It is true that we substantially rearchitected Materialize in 2022 to be more "cloud-native". Our new cloud offering offers horizontal scalability and fault tolerance—our two most requested features in the single-binary days. I wouldn't call the new architecture a microservices design though! There are only 2-3 services, each quite substantial, in the new architecture (loosely: a compute service, an orchestration service, and, soon, a load balancing service).

    We do push folks to sign up for a free trial of our hosted cloud offering [2] these days, rather than trying to start off by running things locally, as we generally want folks' first impression of Materialize to be of the version that we support for production use cases. A all-in-one single machine Docker image does still exist, if you know where to look, but it's very much use-at-your-own-risk, and we don't recommend using it for anything serious, but it's there to support e.g. academic work that wants to evaluate Materialize's capabilities to incrementally maintain recursive SQL queries.

    If folks have questions about Materialize, we've got a lively community Slack [3] where you can connect directly with our product and engineering teams.

    [0]: https://github.com/MaterializeInc/materialize/tree/main

    7 projects | news.ycombinator.com | 30 Jan 2024
  • What I Talk About When I Talk About Query Optimizer (Part 1): IR Design
    7 projects | news.ycombinator.com | 29 Jan 2024
    > the Query Graph Model (QGM) representation is quite abstract and hardcodes many properties, making it exceptionally difficult to understand. Its claimed extensibility is also questionable.

    I don't know much about the context, but it was interesting to note that Materialize scrapped their QGM code last year: https://github.com/MaterializeInc/materialize/pull/17139

    Also, a couple of interesting projects in the IR space:

    - https://substrait.io/ is a cross-language serialization for Relational Algebra

    - https://www.lingo-db.com/ is an MLIR-based query engine described extensively in this paper https://db.in.tum.de/~jungmair/papers/p2485-jungmair.pdf?lan...

    7 projects | news.ycombinator.com | 29 Jan 2024
  • We Built a Streaming SQL Engine
    3 projects | news.ycombinator.com | 21 Oct 2023
    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.

    https://github.com/timelydataflow/differential-dataflow

    https://materialize.com/

  • Ask HN: Who is hiring? (October 2023)
    9 projects | news.ycombinator.com | 2 Oct 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)
    14 projects | news.ycombinator.com | 1 Jun 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?
    10 projects | /r/apachekafka | 31 May 2023
  • Ask HN: Who is hiring? (May 2023)
    13 projects | news.ycombinator.com | 1 May 2023

What are some alternatives?

When comparing ClickHouse and materialize you can also consider the following projects:

loki - Like Prometheus, but for logs.

duckdb - DuckDB is an in-process SQL OLAP Database Management System

Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)

VictoriaMetrics - VictoriaMetrics: fast, cost-effective monitoring solution and time series database

TimescaleDB - An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.

arrow-datafusion - Apache Arrow DataFusion SQL Query Engine

RocksDB - A library that provides an embeddable, persistent key-value store for fast storage.

risingwave - Scalable Postgres for stream processing, analytics, and management. KsqlDB and Apache Flink alternative. 🚀 10x more productive. 🚀 10x more cost-efficient.

PostgreSQL - Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitting_a_Patch

Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing

TileDB - The Universal Storage Engine

Adminer - Database management in a single PHP file