Latest news with #PostgreSQL
Techday NZ
3 days ago
- Business
- Techday NZ
Percona launches free open source encryption for PostgreSQL data
Percona has introduced Transparent Data Encryption (TDE) for PostgreSQL as a fully open source and production-ready solution. This development allows organisations to encrypt data at rest, ensuring compliance with strict regulatory standards such as PCI DSS v4.0, while eliminating licensing fees and avoiding vendor lock-in. The new capability is designed to enable businesses to secure sensitive data on their PostgreSQL platforms without incurring additional costs or facing usage restrictions. The TDE extension, known as pg_tde, is being made generally available as part of the Percona Distribution for PostgreSQL. It aims to remove a significant obstacle that previously prevented many organisations from implementing enterprise-level data encryption in open source database environments. Until now, robust encryption options for PostgreSQL often came with proprietary licensing agreements or were not considered suitable for production use within regulated industries. Organisations in sectors ranging from finance to healthcare and eCommerce are increasingly required to comply with regulations such as GDPR, HIPAA, SOX, and PCI DSS v4.0. These standards often mandate strong encryption protocols to safeguard cardholder data and other sensitive information, with storage encryption alone now frequently deemed insufficient. "Data security and compliance are top priorities for organizations in every industry, but too often, robust encryption has been locked behind paywalls or proprietary add-ons," said Liz Warner, CTO of Percona. "With the launch of TDE for PostgreSQL, Percona is leveling the playing field—giving every business access to enterprise-grade data-at-rest protection without licensing fees or restrictions. This is a major step forward for open source, and a win for every organization that values transparency, flexibility, and security." The TDE solution provides several features intended to address business needs for secure database management. It encrypts all database files on disk, limiting the risk of data exposure should storage be compromised. Organisations can employ granular encryption policies, with the ability to encrypt at the table level and use individual keys for each database, supporting multi-tenant environments and enabling tailored encryption strategies. One of the solution's notable attributes is seamless integration, allowing businesses to introduce encryption into their back-end systems without making changes to application code or disrupting existing operations. Key management is streamlined via integration with major Key Management Services (KMS) including Hashicorp, Thales, Fortanix, and OpenBao, assisting businesses in enforcing security policies and managing encryption keys. Encrypted databases can also benefit from online key rotation and continued encryption management with minimal operational overhead. According to Percona, the encryption has a minimal performance impact, meaning organisations can enhance security without compromising user experience or system speed. Percona is offering 24/7 support and related services for businesses deploying pg_tde, include assistance with initial setup, configuration, and ongoing management. The extension is immediately available as part of the Percona Distribution for PostgreSQL and is supported under Percona's broader service offerings. The launch comes at a time when many organisations are seeking ways to comply with increasingly stringent data privacy and security standards while also maintaining the freedom and flexibility offered by open source technologies. The removal of licensing fees and usage restrictions is expected to make it accessible to organisations of varying sizes, including those without large IT budgets. Follow us on: Share on:
Yahoo
09-06-2025
- Business
- Yahoo
Oppenheimer Increases Snowflake (SNOW) PT, Maintains Outperform Rating
Snowflake Inc. (NASDAQ:SNOW) is one of the 10 tech stocks on Wall Street's radar right now. On June 6, Oppenheimer raised Snowflake Inc.'s (NASDAQ:SNOW) price target to $250 from $225, while maintaining an Outperform rating. As the firm revised the company's price target, it pointed toward Snowflake's Summit'25, which took place in the first week of June. Its keynote speakers included some well-known faces, including Sridhar Ramaswamy, Sam Altman, and Sarah Guo. Oppenheimer noted that the event emphasized stronger data lifecycle support, faster product development, and entry into transactional workloads following the Crunchy Data acquisition. Snowflake (NASDAQ:SNOW) announced at the event that it plans to acquire Crunchy Data, a leading open-source Postgres provider, to launch Snowflake Postgres, which is an enterprise-grade PostgreSQL database tailored for AI applications. A software engineer at work, surrounded by a wall of computer monitors connected to a 'Data Cloud' platform. Oppenheimer's data shows that customer feedback revealed rising adoption of Snowflake due to its user-friendly platform. The firm believes the company's broader product range reflects stronger execution and adaptability, which encourages customers to store more data and develop more applications on its platform. Snowflake (NASDAQ:SNOW) offers a cloud-based data platform that helps organizations centralize their data to generate insights, develop data applications, share data products, and apply AI to address business challenges. While we acknowledge the potential of SNOW as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock. READ NEXT: The Best and Worst Dow Stocks for the Next 12 Months and 10 Unstoppable Stocks That Could Double Your Money. Disclosure: None.
Yahoo
03-06-2025
- Business
- Yahoo
Snowflake retools data cloud to fuel AI agents, expand integrations
This story was originally published on CIO Dive. To receive daily news and insights, subscribe to our free daily CIO Dive newsletter. Snowflake retooled its data cloud platform through a sweeping set of product updates targeting enterprise agentic AI adoption, the company said Tuesday during its annual Snowflake Summit event. The series of announcements came on the heels of Snowflake's Monday agreement to purchase PostgreSQL startup Crunchy Data. The AI data cloud company rolled out a hybrid multicloud data ingestion service called Snowflake Openflow, the Cortex Knowledge Extensions third-party data mining pipeline and AI-powered natural-language analytics and data science assistants under the Snowflake Intelligence and Data Science Agent rubrics. Snowflake also trumpeted the general availability of its Cortex AISQL agentic querying tool and the SnowConvert AI data modernization copilot designed to help enterprises migrate from legacy warehouses. 'We are making it easy to tap into structured data. We are making it easy to tap into unstructured data as well. And we're helping our customers build a strong foundation to lead in the era of agentic AI,' CEO Sridhar Ramaswamy said last month during the company's Q1 earnings call for the 2026 fiscal year. As enterprises seek business value from generative AI-powered agentic automation, major vendors are racing to deploy the data integrations, modernization tools and pipelines organizations need to fuel the technology. The Crunchy Data acquisition brought AI compliance and scaling capabilities in-house for Snowflake, less than a month after Databricks, a competitor in the AI data cloud space, announced its intent to purchase PostgreSQL startup Neon. 'We're doubling down on the momentum behind Postgres and investing in its future while preserving the openness, the extensibility and developer-first ethos that make it great,' Ramaswamy said during a Monday keynote. As part of its integration strategy, Snowflake connected its data cloud to The Associated Press, USA Today and several other publishers through Cortex Knowledge Extensions that let enterprises feed news and other timely data to AI apps and agents, the company said in a Tuesday announcement. The pipeline creates a marketplace for enterprises to source third-party data while ensuring publishers are compensated. Snowflake Intelligence unifies raw and structured data from spreadsheets, documents, images and databases, using Anthropic and OpenAI large language models. The integration connects the company's data cloud to Google Drive, Salesforce Data Cloud via Zero Copy, Workday and other enterprise vendor platforms, aligning security controls, data masking and governance policies. It will be in public preview soon, the company said. 'There's so much that we take for granted about how things used to work that just aren't true anymore,' Ramaswamy said, pointing to the impact of AI on the enterprise in a keynote conversation with OpenAI CEO Sam Altman. 'We'll be at a point next year where you can not only use a system to automate business processes or build these new products and services, but you can really say, 'I have this hugely important problem in my business, I will throw a ton of compute at it'… and the models will be able to go figure out things that teams of people on their own can't do,' Altman said. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Techday NZ
03-06-2025
- Business
- Techday NZ
Snowflake to acquire Crunchy Data to enhance Postgres for AI
Snowflake has announced its intent to acquire Crunchy Data, a provider of open source Postgres technology and products, to bring a fully enterprise-ready PostgreSQL offering to its AI Data Cloud. The acquisition aims to deliver Snowflake Postgres, a database platform designed to enable developers with PostgreSQL compatibility while maintaining governance, security, and operational standards necessary for enterprise-grade and mission-critical AI applications. Businesses in a range of industries have shown growing demand for a secure, enterprise-ready PostgreSQL solution for their core applications. The proposed integration of Crunchy Data into Snowflake Postgres intends to address these needs, offering production-ready compatibility within environments such as those compliant with FedRAMP regulations. The popularity of PostgreSQL is reflected by its adoption rate, with 49% of developers reportedly using the database. Snowflake's new Postgres offering is expected to streamline how developers build, deploy, and scale AI agents and applications by leveraging Crunchy Data's existing technology, engineered for all stages of the enterprise workload lifecycle. Key features provided by Crunchy Data include access to essential performance metrics, scalable architecture, and a user-friendly interface, which Snowflake aims to bring to developers creating AI-driven enterprise applications within its platform. Organisations currently using PostgreSQL, including existing Snowflake partners such as Blue Yonder and LandingAI, are expected to benefit from accelerated development and operational efficiency as they adapt to the evolving use of AI agents in business processes. "Our vision is to deliver the world's most trusted and comprehensive data and AI platform to our customers. Today's announcement of our proposed acquisition of Crunchy Data represents another reason why Snowflake is the ultimate destination for all enterprise data and AI needs. We're tackling a massive USD $350 billion market opportunity and a real need for our customers to bring Postgres to the Snowflake AI Data Cloud," Vivek Raghunathan, Senior Vice President of Engineering at Snowflake, commented. "We built Crunchy Data with the vision to become a Postgres solution of choice for leading enterprise organizations. Our deep-rooted commitment to stringent security and comprehensive compliance has made us the trusted Postgres partner for organisations across regulated industries, including federal agencies, Fortune 500 financial institutions and high-scale SaaS companies. We're excited to join forces with Snowflake to provide their customers who already rely on Postgres the ability to run mission-critical regulated workloads with increased confidence and security on the Snowflake platform," Paul Laurence, Co-Founder at Crunchy Data, said. After the acquisition, Snowflake intends to maintain support for Crunchy Data's existing customer base and participate actively in the PostgreSQL community while integrating Crunchy Data's capabilities with its own products. Crunchy Data's expertise is seen as complementing Snowflake's Unistore, which combines transactional and analytical data handling, by providing a transactional solution that fully embraces PostgreSQL compatibility. "Snowflake's platform serves as the foundation for Blue Yonder's vast amount of supply chain data. Bringing PostgreSQL technology into the Snowflake ecosystem is an opportunity for our development teams to accelerate and simplify benefits for our customers," Blue Yonder's Senior Vice President of Generative AI, Chris Burchett, commented. "Access to a PostgreSQL database directly within Snowflake has the potential to be incredibly impactful for our team and our customers, as it would allow us to securely deploy our Snowflake Native App, LandingLens, into our customers' account. This integration is a key building block in making it simpler to build, deploy, and run AI applications directly on the Snowflake platform," Dan Maloney, Chief Executive Officer of LandingAI, highlighted. Snowflake Postgres will initially be launched in private preview. The closing of the acquisition is subject to regulatory approvals and standard closing conditions.
Time Business News
03-06-2025
- Business
- Time Business News
How to Build a Privacy-Focused Social Media App Like MeWe
In a world where user data privacy is often compromised, platforms like MeWe have risen in popularity by offering an ad-free, surveillance-free alternative to mainstream social media. If you're looking to develop a privacy-centric social app inspired by MeWe, understanding its core features, required technology, and potential development cost is essential. Let's explore how you can bring such an app to life—from functionality to funding. With growing awareness around data misuse and algorithm manipulation, there's a surge in demand for platforms that prioritize user control and privacy. MeWe successfully capitalizes on this by offering: No ads or sponsored content No newsfeed manipulation Full user control over content Encrypted messaging By building an app with similar principles, you're tapping into a market that craves transparency and user empowerment—especially among niche communities, professionals, and privacy advocates. To replicate the success of a platform like MeWe, you'll need to integrate the following essential features: Allow users to set up detailed profiles, customize their display pictures, bios, and privacy settings to enhance personalization. Create a clean, chronological timeline where users can post updates, share content, and view others' posts without algorithmic filtering. Implement secure one-on-one chats and group messaging with end-to-end encryption for ultimate privacy. Enable users to create public or private groups to foster communities around shared interests, hobbies, or causes. Support audio and video calling features within the app to enhance communication, especially within close networks or professional groups. Offer limited cloud space to share photos, videos, and documents within the app, with options for subscription-based storage upgrades. Ensure your platform does not incorporate ad-based revenue or data tracking, a core appeal of MeWe. Equip users and admins with tools to moderate content and manage member behavior within communities. Choosing the right tech stack ensures that your app is scalable, secure, and responsive. React Native (for cross-platform compatibility on iOS and Android) (for cross-platform compatibility on iOS and Android) Flutter (another alternative for fast development and UI consistency) or Django (for scalable APIs and server-side logic) or (for scalable APIs and server-side logic) Firebase (for authentication, messaging, and real-time data sync) (for authentication, messaging, and real-time data sync) MongoDB or PostgreSQL (for flexible and scalable database solutions) AWS or Google Cloud Platform (for cloud storage, compute, and database hosting) or (for cloud storage, compute, and database hosting) Cloudflare (for enhanced security and DDoS protection) End-to-end encryption via Signal Protocol or Libsodium or GDPR and CCPA-compliance toolkits OAuth 2.0 for secure user authentication The cost depends on complexity, team size, and location. Here's a rough estimate: Feature Set Estimated Cost (USD) Basic MVP (User profiles, feed, chat) $25,000 – $40,000 Mid-Level App (Groups, voice/video, moderation) $40,000 – $70,000 Full-Scale App with Cloud & Privacy Tools $70,000 – $120,000+ Hiring an offshore development team from India, like Infowind Technologies, can significantly reduce costs without compromising quality. Building a privacy-first social media app like MeWe isn't just a technical project—it's a commitment to ethical digital interaction. If you focus on user autonomy, data protection, and a clean UI/UX, you're well-positioned to offer a compelling alternative in today's social media landscape. Whether you're an entrepreneur or a company looking to invest in privacy-first platforms, now is a great time to start. Partner with experienced app developers who understand both the technical and ethical nuances of social media development. Want to build your MeWe-inspired app with expert guidance? Reach out to Infowind Technologies today for a free consultation. TIME BUSINESS NEWS
