Connect with us

Tech

Elastic founder on returning to open source four years after going proprietary

Licensing kerfuffles have long been a defining facet of the commercial open source space. Some of the biggest vendors have switched to a more restrictive “copyleft” license, as Grafana and Element have done, or gone full proprietary, as HashiCorp did last year with Terraform.

But one $8 billion company has gone the other way.

Elastic, the creator of enterprise search and data retrieval engine Elasticsearch and the Kibana visualization dashboard, threw a surprise curveball last month when it revealed it was going open source once more — nearly four years after switching to a couple of proprietary “source available” licenses. The move goes against a grain that has seen countless companies ditch open source altogether. Some are even creating a whole new licensing paradigm, as we’re seeing with “fair source,” which has been adopted by several startups.

“It was just taking too long”

In 2021, Elastic moved to closed source licenses after several years of conflict with Amazon’s cloud subsidiary AWS, which was selling its own managed version of Elasticsearch. While AWS was perfectly within its rights to do so given the permissive nature of the Apache 2.0 license, Elastic took umbrage at the way that AWS was marketing its incarnation, using branding such as “Amazon Elasticsearch.” Elastic believed this was causing too much confusion, as customers and end users don’t always pay too much attention to the intricacies of open source projects and the associated commercial services.

“People sometimes think that we changed the license because we were upset with Amazon for taking our open source project and providing it ‘as a service,’” Elastic co-founder and CTO Shay Banon told TechCrunch in an interview this week. “To be honest, I was always okay with it, because it’s in the license that they’re allowed to do that. The thing we always struggled with was just the trademark violation.”

Elastic pursued legal avenues to get Amazon to retreat from the Elasticsearch brand, a scenario reminiscent of the ongoing WordPress brouhaha we’ve seen this past week. And while Elastic later settled its trademark spat with AWS, such legal wrangles consume a lot of resources, when all the company wanted to do was safeguard its brand.

“When we looked at the legal route, we felt like we had a really good case, and it was actually one that we ended up winning, but that wasn’t really relevant anymore because of the change we’d made [to the Elasticsearch license],” Banon said. “But it was just taking too long — you can spend four years winning a legal case, and by then you’ve lost the market due to confusion.”

Back to the future

The change was always something of a sore point internally, as the company was forced to use language such as “free and open” rather than “open source.” But the change worked as Elastic had hoped, forcing AWS to fork Elasticsearch and create a variant dubbed OpenSearch, which the cloud giant transitioned over to the Linux Foundation just this month.

With enough time having passed, and OpenSearch now firmly established, Banon and company decided to reverse course and make Elasticsearch open source once more.

“We knew that Amazon would fork Elasticsearch, but it’s not like there was a huge masterplan here — I did hope, though, that if enough time passed with the fork, we could maybe return to open source,” Banon said. “And to be honest, it’s for a very selfish reason — I love open source.”

Elastic hasn’t quite gone “full” circle, though. Rather than re-adopting its permissive Apache 2.0 license of yore, the company has gone with AGPL, which has greater restrictions — it requires that any derivative software be released under the same AGPL license.

For the past four years, Elastic has given customers a choice between its proprietary Elastic license or the SSPL (server side public license), which was created by MongoDB and subsequently failed to get approved as “open source” by the Open Source Initiative (OSI), the stewards of the official open source definition. While SSPL already offers some of the benefits of an open source license, such as the ability to view and modify code, with the addition of AGPL, Elastic gets to call itself open source once again — the license is recognized as such by the OSI.

“The Elastic [and SSPL] licenses were already very permissive and allowed you to use Elasticsearch for free; they just didn’t have the stamp of ‘open source,’” Banon said. “We know about this space so much, but most users don’t — they just Google ‘open source vector database,’ they see a list, and they choose between them because they care about open source. And that’s why I care about being on that list.”

Moving forward, Elastic says that it’s hoping to work with the OSI toward creating a new license, or at least having a discussion about which licenses do and don’t get to be classed as open source. The perfect license, according to Banon, is one that sits “somewhere between AGPL and SSPL,” though he concedes that AGPL in itself may actually be sufficient for the most part.

But for now, Banon says that simply being able to call itself “open source” again is good enough.

“It’s still magical to say ‘open source’ — ‘open source search,’ ‘open source infrastructure monitoring,’ ‘open source security,’” Banon said. “It encapsulates a lot in two words — it encapsulates the code being open, and all the community aspects. It encapsulates a set of freedoms that we developers love having.”

source

Continue Reading
Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

Tech

The world’s largest privately owned laser just turned on

Fusion startup Xcimer Energy on Wednesday flipped the switch on its Phoenix laser system, which the company says is the largest privately owned example in the world.

Xcimer’s approach to fusion power is modeled after the National Ignition Facility (NIF), which proved in December 2022 that a controlled fusion reaction could release more power than required to ignite it.

The NIF trained 192 laser beams on a fuel target smaller than a pencil eraser. The energy from the lasers hit the gold target. As the lasers obliterate the gold target, their energy is converted into X-rays, which are focused on the fuel pellet inside, compressing it until atoms in the fuel fuse and release energy.

The company is betting that more powerful, less complex lasers will help turn NIF’s concept for fusion power into something more profitable.

Xcimer’s plans for a fusion power plant call for two lasers capable of firing in microsecond-long pulses. Light from those pulses will be fed through a compression system, of sorts, which will delivers the lasers’ energy to the fuel target in nanoseconds. The quicker the fuel is compressed, the more likely it is to generate usable fusion reactions.

Phoenix is a step toward an eventual power plant. The system uses excimer amplification, similar to those used in semiconductor manufacturing but significantly more powerful. At full strength, the krypton-fluoride laser generates over 1 kilojoule of energy, Xcimer told TechCrunch, and its core is 38 meters long. 

While that may be the most powerful privately owned laser, it’s still a fraction of what the company says it will need for a commercial power plant, which could exceed 12 megajoules.

Xcimer hopes to complete a prototype in 2028 before working on a larger system that it hopes will produce at least as much power as it consumes. Sometime in the mid-2030s, it is planning to build its first commercial scale power plant. 

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

source

Continue Reading

Tech

Plex adds new social features ahead of a major price hike for its lifetime pass

Plex has come a long way from being just a personal media server. Over the past few years, it has transformed into a streaming hub, today featuring ad-supported content and movie rental options.

Now, the company is setting its sights on competing with social networking platforms like Reddit and Letterboxd: on Wednesday, Plex unveiled several social features aimed at changing how users interact with the platform. 

Notable among these is Discussions, a community forum where users can post comments and talk about movies or TV shows. Plex is likely hoping this forum will create a dedicated space that challenges Reddit’s dominance when it comes to community discussions of movies and shows.

The company said it’s worked up a moderation system that uses a blend of AI and human input to moderate both visual and written content.

Image Credits:Plex

Another new feature is Lists, which lets users create, manage and share lists of their favorite movies and shows, react with emojis instead of simple star ratings, and share images. Later this year, Plex will add the ability to import existing lists from other platforms, and let users react and comment on their friends’ lists. Letterboxd and IMDb both offer user-generated lists. 

Additionally, Plex is adding a new Match Score feature that predicts how much a user might enjoy a particular title based on their viewing habits and preferences. 

“It looks at the things you watch and the way you rate them, and turns that into a simple percentage that tells you how closely a title lines up with what you tend to enjoy,” co-founder and chief product officer Scott Olechowski told TechCrunch. “The idea is to take the guesswork out of discovery, so instead of scrolling endlessly, you get a quick, personal read on whether something is likely to be for you.”

The platform is also adding Alerts that will notify users about new activities related to lists, movies, shows and film professionals they follow. 

Lists are currently available to all Plex users, and Discussions is set to launch this month. Other features will be rolled out throughout the year. 

The new features aim to create a more community-driven content discovery experience, allowing users to share recommendations, compare opinions and connect over their favorite shows and films. 

“People are spending more time figuring out what to watch than ever before, and we’re seeing viewers are increasingly turning to friends, creators, and communities they trust for recommendations. Discovery has become a shared experience, and we think the products people use to find entertainment should reflect that,” Olechowski added.

The new features come as Plex is grappling with an increasingly competitive entertainment landscape where streaming companies and social media platforms together vie for people’s attention. Netflix and Disney+ have even launched short-form video content within their apps in a bid to farm daily engagement.

This isn’t Plex’s first foray into social networking. In 2023, the company launched “Discover Together,” which allowed users to create profiles and follow friends’ viewing activities. Last year, Plex rolled out public profiles and reviews for users. 

However, it’s important to note that this update also coincides with a significant price hike for Plex’s Lifetime Plex Pass, which will cost $749.99 from July 1. The staggering increase certainly caught the attention of users, especially since Plex just last year increased the Pass’ price from $119.99 to $249.99

Currently, Plex boasts over 42 million active users monthly across more than 180 countries and territories.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

source

Continue Reading

Tech

Coralogix raises $200M on bet that someone needs to watch the AI agents

Coralogix, a Boston-headquartered software monitoring startup founded in Israel, has raised $200 million in a new funding round, betting that the rise of AI agents will drive demand for a new generation of tools to monitor, troubleshoot, and manage increasingly autonomous software systems.

The Series F financing comes just 11 months after Coralogix raised $115 million in a Series E round, a pace that reflects just how quickly investor appetite for AI infrastructure companies has accelerated. The new round values the startup at $1.6 billion post-money and was led by Advent and the Canada Pension Plan Investment Board (CPPIB), with participation from Greenfield Partners and Brighton Park Capital. The company has now raised a total of $550 million to date.

The investment comes as software companies race to adapt to the rise of AI agents, software systems that can autonomously write code, investigate problems, and complete tasks that would previously have required a human engineer. Coralogix is among a growing number of infrastructure firms betting that as AI systems move into production, demand will rise for tools that can monitor their behavior, troubleshoot failures, and provide the operational data needed to keep them running reliably. (The more autonomous software you deploy, the more you need to know when something goes wrong and why.)

Founded in 2014, Coralogix helps companies monitor the health and performance of software systems by collecting and analyzing operational data such as logs, metrics, and traces — essentially a continuous record of what a software system is doing and how it’s behaving. The platform is used by more than 5,000 customers worldwide, including IBM, Tradeweb, and JFrog, to detect outages, investigate incidents, and optimize applications.

The observability industry, where Coralogix competes with the likes of Datadog, New Relic, and Splunk, is being reshaped by the rise of AI. Vendors are increasingly embedding AI into monitoring and incident-response workflows as enterprises deploy more AI-powered applications and agents.

The shift is already changing how customers interact with Coralogix’s platform, co-founder and CEO Ariel Assaraf (pictured above, right) said in an interview. More than half of the startup’s enterprise customers now use either its AI agent, Olly, or their own AI models through command-line and agentic interfaces to investigate incidents and query operational data, he said.

“The interface layer is slowly getting eroded,” Assaraf told TechCrunch, observing that engineers are increasingly interacting with software through AI assistants and command-line tools rather than traditional dashboards. “Most of the usage is going to be around, ‘How do I connect my LLM to this? How do I operate this through my CLI?’” In plain terms, his customers are less interested in logging into a dashboard and more interested in asking an AI assistant what’s wrong.

The shift has coincided with strong growth for Coralogix. The startup grew revenue by more than 60% over the past year and now counts about 30 customers spending more than $1 million annually, Assaraf said, as it expands further into the enterprise market. The company surpassed $100 million in annualized revenue more than a year ago, Assaraf added, though he declined to disclose current figures

The startup employs more than 600 people globally, with about 100 based in India, home to its third-largest office after the U.S. and Israel. The India operation, Assaraf said, has evolved into a regional hub supporting customers across Asia while helping Coralogix expand into large domestic enterprises, including financial institutions.

Coralogix did not raise because it needed additional runway, Assaraf said, adding that the funding would be used to accelerate investment in AI-focused products, security offerings and global expansion.

“In the AI era, execution and speed matter more than any point-in-time valuation,” he said. “We wanted to accelerate, expand, and take a further step into this AI game that we believe we’re leading in our space.”

Coralogix does not currently expect to raise additional capital and is working toward profitability over the next few years, Assaraf said. The company is also preparing to operate with the financial discipline of a public company, he said, though he stopped short of committing to a timeline for an initial public offering.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

source

Continue Reading