Latest news with #database
CNA
2 days ago
- Business
- CNA
Haveli Investments to buy AI database firm Couchbase for about $1.5 billion
Haveli Investments will acquire Couchbase for about $1.5 billion, the companies said on Friday, as the private equity firm looks to capitalize on the artificial intelligence-focused database company's platform. Couchbase's shares, which have gained 21 per cent this year, were up 29 per cent in early trading following the news. The company's cloud-based database powers AI-related applications that need a flexible data model and easy scalability. Couchbase is part of a group of modern database companies — including MongoDB , Cockroach Labs, Snowflake and Databricks — challenging legacy players such as Oracle . New database technologies make it easier and faster to store, manage and use a large amount of unstructured data that modern AI systems require. Haveli Investments, founded by former Vista Equity Partners president Brian Sheth, will pay Couchbase shareholders $24.50 per share, which represents a premium of about 29 per cent to the stock's last close price. The private equity firm has a 9.6 per cent stake in Couchbase, according to data compiled by LSEG. It may engage with Couchbase's management or board to explore strategic options, including a potential merger, according to a March filing with the U.S. SEC. The agreement includes a go-shop period that ends on Monday, during which Couchbase can consider alternate offers.
Forbes
3 days ago
- Business
- Forbes
Speed Means Nothing If You're Down: Benchmarking For The Real World
Spencer Kimball is the CEO and co-founder of Cockroach Labs. For decades, database performance benchmarks like TPC-C (Transaction Processing Performance Council Benchmark C) chased peak throughput under ideal conditions. Systems were scaled vertically and micro-optimized at every layer to game benchmarks and maximize transactions per second (TPS). But times—and technology—have changed. Today's applications live everywhere: across regions, clouds and availability zones. They're always on, global and expected to perform flawlessly despite disruptions. Users now demand instant banking balances, lag-free global broadcasts, immediate access to patient records and real-time inventory updates across international supply chains. These aren't aspirations; they're baseline expectations, assumed and demanded unequivocally. Modern workloads are unpredictable, highly distributed and intensely data-driven. Fraud detection, logistics tracking and AI-powered automation now run continuously at a global scale. Autonomous systems assume constant availability and consistency. They don't pause for outages or wait for recovery. They expect the system to be fast, consistent and always available. Yet legacy benchmarks still focus on raw throughput, rarely accounting for the realities of modern architecture: latency spikes, node crashes or regional outages. The true measure of performance isn't speed under ideal conditions—it's resilience under failure. If anyone doubts the importance of resilience, recent history is rife with cautionary tales. • Costco's Black Friday outage in 2019 allegedly cost millions in sales. • Ticketmaster's 2022 crash during Taylor Swift's ticket sales revealed its infrastructure was unprepared for massive spikes. • A faulty update in 2024 froze hospital electronic health records, forcing clinicians to revert to paper and risking patient safety. • CrowdStrike's 2024 outage halted global freight logistics due to insufficient resilience planning. • Barclays and Capital One outages in 2025 left millions unable to access banking services, demonstrating that even leading institutions aren't immune. There is a perennial thread running through this representative sampling of recent failures: The rising complexity of modern applications requires a shift in mindset to resilience as a first-order goal. Modern infrastructure complexity—multiregion, multicloud and governed by stringent regulations like GDPR, PDPA and DORA—demands new benchmarks that prioritize resilience as a fundamental metric, not an afterthought. Benchmarks that ignore this operational and compliance complexity are no longer sufficient. True resilience testing involves deliberately introducing controlled chaos: killing nodes, dropping disks, simulating outages. The objective is clear: Observe the system's behavior under stress. Does it reroute traffic seamlessly? Are transactions duplicated, delayed or lost? How rapidly does performance return to baseline? These aren't trivial operational details—they're critical indicators of system integrity. Chaos testing, a methodology where systems are intentionally stressed to uncover hidden vulnerabilities, is gaining traction. However, resilience testing often remains disconnected from standard performance metrics like throughput and latency. Integrating these tests ensures resilience isn't merely theoretical but quantifiable and central to system design. Just as vehicle performance isn't judged solely by top speed, database benchmarks shouldn't focus exclusively on maximum throughput. Benchmarks must evolve to measure continuity, recovery speed and stability under real-world pressures. Systems engineered with built-in replication, self-healing automation and geographic consensus aren't merely technically superior; they're strategically essential. These aren't just engineering choices; they're risk strategies. And they should be part of how we measure value. Speed without resilience is meaningless. Challenge your teams and vendors to prove resilience under chaos. If they can't, they're not ready for today's demands. The ultimate benchmark isn't the fastest lap—it's staying on track when legacy systems are stuck rebuilding in the pit. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
Zawya
3 days ago
- Business
- Zawya
Egypt: El-Sisi ratifies law to establish unified national real estate database
Arab Finance: President Abdel Fattah El-Sisi has ratified law No. 88 of 2025 establishing a unified national real estate database, according to the Official Gazette. The law mandates assigning a unique national real estate number to each property in Egypt. This number will be linked to the country's unified baseline map and integrated within a secure electronic system, aiming to enhance the organization and management of real estate data. A competent authority, to be designated by a decision from the Prime Minister, will be tasked with managing the database and providing access to the data in a non-interactive technical format. The law excludes properties of strategic and military significance owned by sovereign entities, in accordance with regulations to be issued by the Cabinet. The Central Agency for Public Mobilization and Statistics (CAPMAS), in coordination with the Ministry of Communications and Information Technology and other relevant authorities, will define the components of the unified national real estate number. © 2020-2023 Arab Finance For Information Technology. All Rights Reserved. Provided by SyndiGate Media Inc. (
Yahoo
07-06-2025
- Business
- Yahoo
Why MongoDB Rallied This Week
MongoDB's first-quarter report and forward guidance impressed Wall Street. Management said the company had the most net customer adds in six years. MongoDB could be a delayed AI winner. 10 stocks we like better than MongoDB › Shares of database disruptor MongoDB (NASDAQ: MDB) rallied 17.7% this week through Friday as of 12:15 p.m. ET, according to data from S&P Global Market Intelligence. MongoDB reported its fiscal first-quarter earnings on Wednesday, trouncing analyst estimates and showing some reacceleration from the prior quarter. MongoDB has said that it would become an artificial intelligence (AI) winner once the "experimentation" phase ended and companies began to build AI-powered software applications. It looks like that may be starting now. Coming into this week, MongoDB was still wallowing in a severe downturn, having been more than cut in half since its 2021 highs and also its early 2024 highs. Revenue had been decelerating amid economic uncertainty, and management said that while it expects to see growth from the AI revolution, that growth wouldn't happen until AI moved from the experimentation phase to the application phase. In the first quarter ending in April, MongoDB began to see some of those benefits. Revenue grew 22% to $549 million, fueled by consumption-based MongoDB Atlas growth of 26%. That overall revenue figure was well above expectations, as well as the prior guidance given by the company of $524 million to $529 million. Non-GAAP (adjusted) earnings per share of $1 nearly doubled, and trounced expectations by $0.34. Management also raised full-year revenue guidance from $2.26 billion to $2.27 billion at the midpoint, and adjusted earnings-per-share figures from $2.51 to $3.03 at the midpoint. On the conference call, MongoDB noted its net customer additions were the highest in over six years, especially self-serve customers. That's really impressive, and highlights AI developers turning to MongoDB as their go-to database to handle and organize the "messiness of the real world" within data connections. Software-as-a-service stocks are generally very expensive, but if MongoDB is in fact on the brink of an acceleration, it could be one of the best values in the space. After this week's surge, shares trade around 8 times this year's revenue guidance, which is expensive for a typical stock, but reasonable for a software stock. Of note, MongoDB also has a significant amount of cash on its balance sheet, at over $2.3 billion, good for 13% of its market cap, and no debt. In terms of AI software plays, MongoDB looks like a promising opportunity, as the stock is still down markedly from its all-time highs. Before you buy stock in MongoDB, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and MongoDB wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $674,395!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $858,011!* Now, it's worth noting Stock Advisor's total average return is 997% — a market-crushing outperformance compared to 172% for the S&P 500. Don't miss out on the latest top 10 list, available when you join . See the 10 stocks » *Stock Advisor returns as of June 2, 2025 Billy Duberstein and/or his clients have no position in any of the stocks mentioned. The Motley Fool has positions in and recommends MongoDB. The Motley Fool has a disclosure policy. Why MongoDB Rallied This Week was originally published by The Motley Fool Sign in to access your portfolio
Wall Street Journal
02-06-2025
- Business
- Wall Street Journal
Snowflake to Buy Crunchy Data for $250 Million
Snowflake has agreed to acquire database startup Crunchy Data, aiming to win over customers seeking to build their own artificial intelligence agents. The deal is valued at roughly $250 million, according to a person familiar with the matter. The deal comes less than a month after Snowflake rival Databricks said it was purchasing Neon, a similar database startup, in a deal valued at about $1 billion.
