SQL

Dremio Solidifies its Position as Premier Apache Iceberg Data Lakehouse Platform with New Ingestion Automation and Optimization Capabilities

Retrieved on: 
Tuesday, April 9, 2024
Cloud, Organization, Apache Iceberg, SQL, Memory, AI, Apache Parquet, TCO, Data management

Santa Clara, CA, April 09, 2024 (GLOBE NEWSWIRE) -- Dremio , the unified lakehouse platform for self-service analytics and AI, has unveiled new capabilities that simplify the process of building and managing an Apache Iceberg data lakehouse.

Key Points: 
  • Santa Clara, CA, April 09, 2024 (GLOBE NEWSWIRE) -- Dremio , the unified lakehouse platform for self-service analytics and AI, has unveiled new capabilities that simplify the process of building and managing an Apache Iceberg data lakehouse.
  • By automating Iceberg management processes, Dremio not only reduces total cost of ownership (TCO), but also enhances data team productivity and improves overall time-to-insight.
  • "Dremio has been a key partner in helping us build our modern data stack solution that powers our Project BI Data Lakehouse.
  • "As  the premier data lakehouse platform for Apache Iceberg, we are excited to further extend our data ingestion, processing, and optimization capabilities for Apache’s leading open source, high performance format,” said Tomer Shiran, founder of Dremio.

SIOS Technology Joins Nutanix Elevate Partner Program, Bringing Easy-to-Use High Availability Clustering for Critical Applications to Nutanix AHV Environments

Retrieved on: 
Monday, April 8, 2024
Rocky Linux, Oracle Linux, SQL, Red Hat Linux, SAN, SAP, SQL Server, Global marketing, SIOS, SIOS LifeKeeper

SAN MATEO, Calif., April 08, 2024 (GLOBE NEWSWIRE) -- SIOS Technology Corp ., an industry leader in application high availability (HA) and disaster recovery (DR), today announced its membership in the Nutanix Elevate Partner Program, marking a significant milestone in providing easy-to-use high availability clustering solutions for critical applications within Nutanix AHV environments.

Key Points: 
  • SAN MATEO, Calif., April 08, 2024 (GLOBE NEWSWIRE) -- SIOS Technology Corp ., an industry leader in application high availability (HA) and disaster recovery (DR), today announced its membership in the Nutanix Elevate Partner Program, marking a significant milestone in providing easy-to-use high availability clustering solutions for critical applications within Nutanix AHV environments.
  • The completion of the Nutanix Ready validation designation awarded to SIOS demonstrates SIOS LifeKeeper and DataKeeper’s high availability interoperability with the Nutanix infrastructure.
  • As part of this validation, Nutanix and SIOS are collaborating to help joint customers benefit from continued innovation.
  • SIOS LifeKeeper for Linux enables Nutanix to offer customers simple, reliable high availability for business-critical applications backed by deep HA expertise.

Progress Software Corp. Announcement under the Irish Takeover Rules

Retrieved on: 
Friday, April 5, 2024
ACT, MAKE, RDBMS, OpenEdge, ANY, MarkLogic, Organization, Semaphore, SQL, FIRM, RAG, Acquisition, JDBC, AI, TCO, MADE, LTS, IRISH, Progress, ABL, ODBC, NOT, MariaDB

BURLINGTON, Mass., April 05, 2024 (GLOBE NEWSWIRE) -- As was announced on 26 March, 2024, Progress Software Corp. (“Progress”) has expressed interest in acquiring MariaDB plc (“MariaDB”), via an announcement under Rule 2.4 of the Takeover Rules. Why do we believe this acquisition makes sense for Progress, for MariaDB customers and developers and for existing Progress customers and shareholders?

Key Points: 
  • THIS IS AN ANNOUNCEMENT UNDER THE IRISH TAKEOVER PANEL ACT, 1997, TAKEOVER RULES, 2022 (THE "TAKEOVER RULES").
  • IT IS NOT AN ANNOUNCEMENT OF A FIRM INTENTION TO MAKE AN OFFER UNDER RULE 2.7 OF THE TAKEOVER RULES.
  • BURLINGTON, Mass., April 05, 2024 (GLOBE NEWSWIRE) -- As was announced on 26 March, 2024, Progress Software Corp. (“Progress”) has expressed interest in acquiring MariaDB plc (“MariaDB”), via an announcement under Rule 2.4 of the Takeover Rules.
  • Why do we believe this acquisition makes sense for Progress, for MariaDB customers and developers and for existing Progress customers and shareholders?

Gretel Releases World’s Largest Open Source Text-to-SQL Dataset to Accelerate AI Model Training

Retrieved on: 
Thursday, April 4, 2024
Blood pressure, Hugging Face, SQL, Spider, Yale University, MIT, Patient, SAN, Head, Ageing, Blog, AI, Student, LLM, Statistics, Clinical trial, Language, Data, Metadata, Population growth, Mobile phone

SAN FRANCISCO, April 04, 2024 (GLOBE NEWSWIRE) -- Gretel , the leader in synthetic data, today released the world’s largest open source Text-to-SQL dataset to unlock new possibilities for AI in the enterprise.

Key Points: 
  • SAN FRANCISCO, April 04, 2024 (GLOBE NEWSWIRE) -- Gretel , the leader in synthetic data, today released the world’s largest open source Text-to-SQL dataset to unlock new possibilities for AI in the enterprise.
  • "Access to quality training data is one of the biggest obstacles to building with generative AI.
  • Everything Gretel does is designed to address this issue head-on, and contributing to the open-source community is no exception," said Alex Watson, co-founder & Chief Product Officer at Gretel.
  • We’re excited for developers to take our dataset for a spin, and build upon it.”
    The largest AI companies in the world are struggling with access to high-quality training data.

NobleAI Secures Over $10 Million in Series A Extension Funding

Retrieved on: 
Tuesday, April 2, 2024
Informatics, Health, Face, General partnership, SAN, SQL, Chemical substance, Investment, Safety, Machine learning, Generative

SAN FRANCISCO, April 02, 2024 (GLOBE NEWSWIRE) -- NobleAI , a pioneer in Science-Based AI solutions for Chemical and Material Informatics, today announced over $10M in Series A extension financing.

Key Points: 
  • SAN FRANCISCO, April 02, 2024 (GLOBE NEWSWIRE) -- NobleAI , a pioneer in Science-Based AI solutions for Chemical and Material Informatics, today announced over $10M in Series A extension financing.
  • New investor Sway Ventures led the round, joined by Dorilton Ventures.
  • In a sign of continued commitment to NobleAI, the round included additional investments from all of NobleAI’s original Series A investors.
  • This funding will accelerate our ability to help more companies take advantage of AI to develop new products.”

Unravel Data Achieves Google Cloud Ready - BigQuery Designation, Delivering AI-driven Cost and Performance Optimization to BigQuery Users

Retrieved on: 
Tuesday, April 9, 2024
Software, Networks, Internet, Professional Services, Fintech, Data Management, Apps, Applications, Technology, Artificial Intelligence, Security, Data Analytics, Finance, Cloud, AI, BigQuery, Engine, Economics, SQL, Video game

Unravel Data , the first AI-enabled data observability and FinOps platform built to optimize the cost, speed, and scale of data pipelines and applications running on cloud data platforms, today announced that Unravel for BigQuery has achieved Google Cloud Ready - BigQuery designation.

Key Points: 
  • Unravel Data , the first AI-enabled data observability and FinOps platform built to optimize the cost, speed, and scale of data pipelines and applications running on cloud data platforms, today announced that Unravel for BigQuery has achieved Google Cloud Ready - BigQuery designation.
  • Unravel for BigQuery provides purpose-built, AI-driven cost and performance optimization insights and prescriptive recommendations for maximizing cost efficiencies and speed to value of data and AI pipelines moving through BigQuery.
  • With the Google Cloud Ready - BigQuery designation, BigQuery users have validation that Unravel has been proven through a rigorous validation process to work optimally with BigQuery, securely and at scale.
  • With easy-to-use widgets that offer insights on spend, performance, and unit economics, BigQuery users can also customize their dashboards and alerts.

DataChat Launches Next Generation of Instant Analytics Platform; Offers No-code, Reproducible Data Science to All, Regardless of Technical Expertise

Retrieved on: 
Tuesday, April 9, 2024
Professional Services, Data Management, Technology, Data Analytics, Agritech, Software, Cloud, Health, SQL, Biomarker, Doctor of Philosophy, ChatGPT, Python, Infection, Animal, Carnegie Mellon University

DataChat , the no-code, generative AI platform for instant analytics, today releases DataChat 2.0.

Key Points: 
  • DataChat , the no-code, generative AI platform for instant analytics, today releases DataChat 2.0.
  • “From the beginning, our founders recognized the need for conversational analytics that could enable everyone - not just data scientists - to analyze complex datasets,” said Viken Eldemir, CEO, DataChat.
  • “While many companies have scrambled to build a generative AI strategy in the wake of ChatGPT, DataChat made generative AI central to its product strategy back in 2017.
  • DataChat scales to large datasets - billions of rows of data is standard - and behind the scenes selects the best machine learning model for the question.

DataChat Joins Google Cloud Partner Advantage Program

Retrieved on: 
Tuesday, April 9, 2024
Data Analytics, Data Management, Professional Services, Technology, Software, Cloud, Python, SQL, ROI, Google Cloud, Organization, Build, Doctor of Philosophy

DataChat , the no-code, generative AI platform for instant analytics, announced today that it has joined the Google Cloud Partner Advantage Program and achieved Google Cloud Partner Level for the Build engagement model, making complex data science accessible to all Google Cloud customers, regardless of technical background or experience.

Key Points: 
  • DataChat , the no-code, generative AI platform for instant analytics, announced today that it has joined the Google Cloud Partner Advantage Program and achieved Google Cloud Partner Level for the Build engagement model, making complex data science accessible to all Google Cloud customers, regardless of technical background or experience.
  • Few organizations have the in-house coding capabilities to develop advanced machine learning models that turn data into credible, reproducible insights.
  • With DataChat, users simply interact with their data in a spreadsheet interface just in plain English.
  • DataChat translates user's plain English queries into complex Python or SQL under the hood using built-in machine learning, predictive analytics and automated insights to return straightforward answers and helpful visualizations.

Estuary Achieves Three Google Cloud Ready Designations

Retrieved on: 
Tuesday, April 9, 2024
Cloud, Google Cloud, Software as a service, Entrepreneurship, SQL, BigQuery, NetSuite, SQL Server, ETL, CDC, MySQL, Network equipment provider

NEW YORK, April 9, 2024 /PRNewswire/ -- Estuary, the only fully managed real-time CDC and streaming ETL platform, announced it has achieved three Google Cloud Ready designations: Google Cloud Ready – BigQuery, Google Cloud Ready – Cloud SQL, and Google Cloud Ready – AlloyDB. Estuary's native CDC connections to SQL Server, MySQL, Postgres, NetSuite and many other sources and targets allow Google Cloud users to replicate data to and from these solutions in real-time. 

Key Points: 
  • Designations validate real-time change data capture (CDC) and streaming ETL for AlloyDB, Cloud SQL, and BigQuery
    NEW YORK, April 9, 2024 /PRNewswire/ -- Estuary, the only fully managed real-time CDC and streaming ETL platform, announced it has achieved three Google Cloud Ready designations: Google Cloud Ready – BigQuery, Google Cloud Ready – Cloud SQL, and Google Cloud Ready – AlloyDB.
  • "Google Cloud has long been a strategic partner for Estuary," said David Yaffe, Co-Founder and CEO of Estuary.
  • Google Cloud's engineering teams validate partner integrations as part of the Google Cloud Ready initiative.
  • Estuary has met or surpassed the core sets of functional requirements in collaboration with Google Cloud's engineering teams, ensuring that it can provide an excellent experience for Google Cloud customers integrating with Google SQL, BigQuery and AlloyDB.

Datometry Announces Support for Oracle Workloads on Native Google Databases

Retrieved on: 
Tuesday, April 9, 2024
Cloud, Translation, Google Cloud Platform, Workload, GCP, PostgreSQL, BigQuery, SAN, Database, Language, Policy, SQL, Information technology

SAN FRANCISCO, April 9, 2024 /PRNewswire/ -- Datometry, the pioneer in database system virtualization, announced today support for Oracle workloads with Datometry Hyper-Q. Using Hyper-Q, enterprises can rapidly move complete workloads from legacy Oracle databases, including Exadata, to native databases on Google Cloud Platform (GCP), such as BigQuery, AlloyDB, or open-source PostgreSQL.

Key Points: 
  • SAN FRANCISCO, April 9, 2024 /PRNewswire/ -- Datometry , the pioneer in database system virtualization , announced today support for Oracle workloads with Datometry Hyper-Q.
  • Using Hyper-Q, enterprises can rapidly move complete workloads from legacy Oracle databases, including Exadata, to native databases on Google Cloud Platform (GCP), such as BigQuery, AlloyDB, or open-source PostgreSQL.
  • The current industry trend of utilizing managed databases, coupled with the resurgence of PostgreSQL, has IT leaders enthused about the possibility of replacing Oracle databases with cloud-native systems.
  • "We're excited to extend our Oracle support for GCP-native database systems," said Mike Waas, CEO of Datometry.