isar
materialize
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isar | materialize | |
---|---|---|
20 | 117 | |
3,345 | 5,567 | |
3.3% | 1.0% | |
8.1 | 10.0 | |
5 days ago | 2 days ago | |
Dart | Rust | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
isar
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SQLite Isn't Enough
I would have appreciated some more details on the benchmark. SQLite has notoriously slow writes in the default journal mode, but proper configuration and WAL/WAL2 mode should be a starting point for any comparison.
It's the first time I've heard of Isar[1] though. I'm always surprised at how many solid-but-underused Apache projects are out there, chugging along.
[0] https://phiresky.github.io/blog/2020/sqlite-performance-tuni...
[1] https://isar.dev/
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Picking my poison for semi-structured data persistence in Flutter: Isar, ObjectBox, Realm, and Sqflite
I have a few flutter projects that have used Hive and have been fairly happy with it (except for a recent schema change that crashed production...but a story for another time), though will need support for more structured queries for a future project. Isar seemed to fit the ticket: made by same developer, nice API, supports queries, etc, except there is an ongoing discussion raising concerns I share. In short, it is not actively maintained, or at least inconsistently maintained. Isar v4 is on the horizon, but not ready for production, while v3 seems to have some serious bugs. It seems like a great project by a talented developer, but having only a single contributor is a serious risk.
- Flutter and databases
- All local database options for Flutter
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[My First App] that let's you quickly track any activity and see the progress/history.
Tracking stuff helps me in being motivated and can be the decision point if I do something or not. I'm sure there are some flaws in the app, so I'll be grateful for every feedback. It's written in Flutter. - [Isar](https://isar.dev/) for database. - [Stacked](https://pub.dev/packages/stacked) for the architecture. - [Syncfusion](https://pub.dev/packages/syncfusion\_flutter\_charts) for the charts. Here are some links, if anyone is interested: [Youtube video link](https://www.youtube.com/watch?v=dgQUU8AmtkY) [Play Store Link](https://play.google.com/store/apps/details?id=com.vinsho.tally\_tracker)
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[First App} that let's you quickly track any activity and see the progress/history.
- Isar for database. I tried sqflite and hive but ended up with Isar.
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Best Database to store messages offline
Hive is a good option. Though I would also suggest checking out isar which is really powerfull offline storage db and its quite fast. Its built by the author of Hive himself so its quite reliable. https://isar.dev/
- The point of using Rust with Flutter
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Any gotchas in using Isar database?
Read here: https://github.com/isar/isar/issues/686
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Hi, what do you recommend to use instead of the hive as a NoSQL solution?
I'd definitely recommend looking at Isar, https://isar.dev/.
materialize
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Ask HN: How Can I Make My Front End React to Database Changes in Real-Time?
[2] https://materialize.com/
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Choosing Between a Streaming Database and a Stream Processing Framework in Python
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.
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Proton, a fast and lightweight alternative to Apache Flink
> 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
- What I Talk About When I Talk About Query Optimizer (Part 1): IR Design
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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.
https://github.com/timelydataflow/differential-dataflow
https://materialize.com/
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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.
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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)
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Dozer: A scalable Real-Time Data APIs backend written in Rust
How does it compare to https://materialize.com/ ?
What are some alternatives?
Hive - Lightweight and blazing fast key-value database written in pure Dart.
ClickHouse - ClickHouse® is a free analytics DBMS for big data
realm-dart - Realm is a mobile database: a replacement for SQLite & ORMs.
risingwave - Cloud-native SQL stream processing, analytics, and management. KsqlDB and Apache Flink alternative. 🚀 10x more productive. 🚀 10x more cost-efficient.
flutter_deer - 🦌 Flutter 练习项目(包括集成测试、可访问性测试)。内含完整UI设计图,更贴近真实项目的练习。Flutter practice project (including integration testing and accessibility testing). Contains complete UI design drawings for a more realistic practice project.
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.
flutter_local_notifications - A Flutter plugin for displaying local notifications on Android, iOS, macOS and Linux
rust-kafka-101 - Getting started with Rust and Kafka
plugins - Plugins for Flutter maintained by the Flutter team
dbt-expectations - Port(ish) of Great Expectations to dbt test macros
drift - Drift is an easy to use, reactive, typesafe persistence library for Dart & Flutter.
scryer-prolog - A modern Prolog implementation written mostly in Rust.