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.
Based on our record, Apache Spark seems to be a lot more popular than Localize. While we know about 56 links to Apache Spark, 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
Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / 2 months ago
Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 3 months ago
Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 5 months ago
Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 5 months ago
A JVM based framework named "Spark", when https://spark.apache.org exists? - Source: Hacker News / 11 months ago
POEditor - The translation and localization management platform that's easy to use *and* affordable!
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Transifex - Transifex makes it easy to collect, translate and deliver digital content, web and mobile apps in multiple languages. Localization for agile teams.
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Phrase - A platform offering AI-powered translation tools for localization at scale.
Hadoop - Open-source software for reliable, scalable, distributed computing