BIG DATA MANAGEMENT
Vertica | November 11, 2021
Vertica today announced a new integration with NetApp StorageGRID to deliver the advantages of cloud-native analytics to on-premises environments. This combined analytics offering enables data-driven organizations to elastically scale capacity and performance as data volumes grow and as analytics and machine learning become a strategic business driver – all from within their enterprise data centers.
"With this NetApp integration, we are committed to providing our joint customers with the broadest options to power their strategic analytical and machine learning initiatives in the way that works best for their businesses -- today and in the future. Every organization can now run Vertica's cloud-optimized architecture with NetApp's StorageGRID to address their performance and financial requirements – all within enterprise data centers or private clouds."
Colin Mahony, senior vice president and general manager of Vertica
Vertica with NetApp StorageGRID allows organizations the freedom to adopt cloud innovation for analytics wherever their data resides, without assuming the risks, costs, and complexities of cloud migration. Also, providing customers with the flexibility to deploy object storage as an appliance-based solution or in a software-defined model. Vertica with NetApp StorageGRID gives companies a consistent platform for high-performance analytics and machine learning at enterprise scale.
"Enterprises today require data and infrastructure solutions that offer simplicity, speed, and performance in order to differentiate their business and deliver the best experience to their customers," said Duncan Moore, senior director, product management at NetApp. "Together, we're helping our joint customers put their data to work with a solution they can trust with their most critical data assets."
The combined offering delivers high-performance analytics and machine learning with enterprise-grade object storage to enable organizations to:
Prepare for future scale – Elastically scale the analytics platform's capacity and performance as the database grows from terabytes to petabytes with NetApp StorageGRID scale-out architecture.
Rely on separation of compute and storage - Isolate workloads based on specific department needs and use cases without competing for resources with the Vertica Unified Analytics Platform. The separation of compute and storage architecture of Vertica in Eon Mode allows administrators to use NetApp StorageGRID as the main data warehouse repository or as a data lake.
Optimize the data lifecycle - Fine-tune data availability, performance, locality, retention, protection, and storage costs with NetApp StorageGRID metadata-driven policies and adjust these parameters dynamically as the business value of your data evolves.
Perform queries 10-25 times faster than conventional databases - Vertica with NetApp StorageGRID has a fast multisite, active-active architecture without sacrificing durability.
Simplify database options – Customers experience improved node recovery, superior workload balancing, and more rapid compute provisioning.
About Vertica
The core analytical platform within the Micro Focus software portfolio, Vertica is the Unified Analytics Platform, based on a massively scalable architecture with the broadest set of analytical functions spanning event and time series, pattern matching, geospatial, and end-to-end in-database machine learning. Vertica enables many customers – from Philips to The Trade Desk to MassMutual to many others – to easily apply these powerful functions to the largest and most demanding analytical workloads, arming businesses and its customers with predictive business insights faster than any data analytical platform in the market. Vertica provides its Unified Analytics Platform as SaaS on AWS, across all major public clouds and on-premises data centers as a BYOL (bring your own license) model, and integrates data in cloud object storage.
Read More
DATA SCIENCE
Bodo | December 16, 2021
Bodo.ai, the extreme-performance parallel compute platform for data analytics, has announced a partnership with Snowflake, the Data Cloud company. The partnership combined with an investment from Snowflake Ventures offers advancements in simplicity, performance, scalability and the economic value of large-scale parallel computing Python data analytics and machine learning (ML).
The two will work together to optimize parallel computing approaches for Python analytics using Snowflake, significantly improving analytics performance, ease of use, and governance while reducing overall analytics costs.
Bodo recently demonstrated it can achieve order-of-magnitude speed improvements and cost reduction over Apache Spark and Dask alternatives.
This investment is part of Snowflake’s and Bodo’s commitment to help enterprise data engineers and data scientists simplify access to exceptional performance analytics and machine learning (ML) using the Snowflake Data Cloud.
Today, enterprise data engineers and data scientists approach improving compute performance and scalability for large data sets by rewriting their native Python code in alternatives such as Spark or Dask. These methods are costly, both in time, labor, and learning curves. With Bodo, Snowflake customers will be able to use Python, along with popular packages such as Pandas, SciKit Learn and NumPy, yet vastly reduce time-to-value, as well as reducing compute costs by an order of magnitude or more.
“We are thrilled to receive Snowflake’s endorsement of Bodo’s direction, to help democratize supercomputing-style parallel computing, and close the simplicity-vs-performance gap,If you’re a data scientist or data engineer using Python, we can provide order-of-magnitude improvements in cost, not to mention speed. Plus we offer the simplicity of automatic scaling without any change of ordinary Python code. Broad access to such near-real-time analytics will enable new data-centric revenue opportunities, faster competitive responses, and radically more efficient data operations.”
Behzad Nasre, CEO of Bodo
“This investment is part of Snowflake’s commitment to the Python ecosystem, and to bringing Bodo’s parallel computing technology to the Snowpark developer community,” said Stefan Williams, Head of Corporate Development and Snowflake Ventures. “Data engineers and scientists can leverage the Snowflake platform to build even more scalable and optimized data pipelines and applications. We hope to accelerate their pace of innovation using Python’s familiar syntax and thriving ecosystem to explore and process data where it lives.”
About Bodo:
Founded in 2019, Bodo.ai is an extreme-performance parallel compute platform for data analytics, scaling past 10,000 cores and petabytes of data with unprecedented efficiency and linear scaling. Leveraging unique automatic parallelization and the first inferential compiler, Bodo is helping F500 customers solve some of the world’s most massive data analysis problems. And doing so in a fraction of traditional time, complexity, and cost, all while leveraging the simplicity and flexibility of native Python. Developers can deploy Bodo on any infrastructure, from a laptop to a public cloud.
Read More
BIG DATA MANAGEMENT
Agiloft | May 17, 2021
Agiloft, the industry leader of no-code contract lifecycle management, revealed today that it has become a technology partner of Tableau, the world's largest analytics platform. The collaboration allows Agiloft and Tableau to better integrate for improved data visualization and analysis of contract management data.
Agiloft, as a Salesforce and Tableau partner, has a complete end-to-end contract management solution that includes bi-directional integration with Tableau for efficient reporting and analytics.
Agiloft's no-code platform was designed to manage and integrate the commercial processes that accompany contracts, due to its unparalleled configurability and powerful AI capabilities. Through monitoring contract obligations and efficiency through departments and integrating enterprise-wide commercial data, CLM helps companies drive long-term revenue growth, maintain cost discipline, and reduce security and compliance risk.
Agiloft's native reporting capabilities are robust, and its out-of-the-box Tableau integration provides yet more advanced data analytics capabilities, making it easy for companies to create reports and dashboards and generate actionable insights from contract data. Agiloft intends to develop a more robust connector with the new collaboration, allowing customers to conveniently link Agiloft and Tableau.
"Tableau is a powerful tool that makes business analytics quick and intuitive, and we are thrilled to have them on board as a technology partner," said Elisabeth Bykoff, VP of Agiloft Global Alliances. "This collaboration represents our commitment to adding new tools and advanced integrations regularly to improve enterprise productivity and customer success. It also helps us to better integrate with the Salesforce ecosystem."
"Agiloft is widely regarded as an industry leader in contract lifecycle management software due to its innovative, user-friendly, and highly customizable solutions," said Brian Matsubara, RVP of Global Technology Alliances at Tableau. "By combining Tableau's strong self-service analytics platform with Agiloft's no-code CLM platform, businesses will be able to analyze contracts faster and effectively smarter decisions."
Read More