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Localize is a no-code translation solution for SaaS platforms, allowing you to easily translate your web app, dashboard, API docs, and much more. With traditional solutions - as well as building it in-house - it could take months to offer multilingual support to users. With Localize, you can translate your SaaS platform in just hours - allowing you to expand into new markets and delight customers around the globe.
Enterprise SaaS brands like Cisco, Intuit, Atlassian, Afterpay, Discord, and Canva use Localize to easily translate their platforms and provide great user experiences to all customers.
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Based on our record, ClickHouse seems to be a lot more popular than Localize. While we know about 43 links to ClickHouse, we've tracked only 3 mentions of Localize. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
There are definitely i18n solutions to problems like this, but have you looked at an agent based solution such as https://localizejs.com? We used it for a project at work and it’s actually a surprisingly robust way to deal with translation by separating language management from development effort. Source: almost 3 years ago
I run a company called Localize (https://localizejs.com). I’d love to speak to anyone with a background like yours for a PM or technical role with us. There’s no experience better than starting and failing at startups/side projects to prepare yourself for a Product Management role. brandon@localizejs.com. - Source: Hacker News / almost 3 years ago
Localize | https://localizejs.com | REMOTE (US / Canada) | Full-time | Backend & Full Stack Engineers We're hiring Full-Stack Engineers to join our remote-first team. As a core member of our engineering team, you’ll be responsible for implementing new functionality within Localize’s core product, maintaining existing code and functionality, and improving existing systems for maintainability, scalability, and... - Source: Hacker News / about 3 years ago
For the third, examples here might be analytics plugins in specialized databases like Clickhouse, data-transformations in places like your ETL pipeline using Airflow or Fivetran, or special integrations in your authentication workflow with Auth0 hooks and rules. - Source: dev.to / 3 months ago
Online analytical processing (OLAP) databases like Apache Druid, Apache Pinot, and ClickHouse shine in addressing user-initiated analytical queries. You might write a query to analyze historical data to find the most-clicked products over the past month efficiently using OLAP databases. When contrasting with streaming databases, they may not be optimized for incremental computation, leading to challenges in... - Source: dev.to / 3 months ago
To achieve seamless real-time data ingestion, transformation, and analytics, a powerful combination to explore is RisingWave and ClickHouse. RisingWave is a PostgreSQL-compatible database specifically designed for stream processing. It excels at ingesting real-time data streams, performing diverse transformations, and enabling instant querying of results. ClickHouse® is a high-performance, column-oriented SQL... - Source: dev.to / 4 months ago
You can export the whole dataset as described here: https://github.com/ClickHouse/ClickHouse/issues/29693- Source: Hacker News / 5 months agocurl https://clickhouse.com/ | sh.
Nowadays I am looking at the clickhouse and how it might help me maybe you can check it out: https://clickhouse.com/. Source: 5 months ago
POEditor - The translation and localization management platform that's easy to use *and* affordable!
PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.
Transifex - Transifex makes it easy to collect, translate and deliver digital content, web and mobile apps in multiple languages. Localization for agile teams.
Apache Doris - Apache Doris is an open-source real-time data warehouse for big data analytics.
Phrase - A platform offering AI-powered translation tools for localization at scale.
MySQL - The world's most popular open source database
