BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, BUSINESS STRATEGY
Businesswire | May 26, 2023
Ocient, the leading hyperscale data analytics solutions company, today announced the version 22 release of its flagship product, the Ocient Hyperscale Data Warehouse (OHDW). This latest release builds upon Ocient’s hyperscale data integration and data movement capabilities while adding new real-time analytics features, query performance enhancements, and support for additional business intelligence (BI) tools. Ocient’s ability to continuously stream, load, and transform large scale datasets and execute machine learning directly within the database enables customers to execute complex, continuous data integration, transformation, and exploration alongside real-time analytics and OLAP-style workloads from a single solution stack.
Native support for ETL and ELT workloads – Version 22 of the OHDW delivers improved performance for loading, streaming, and extract, load, transform (ELT) workloads. Organizations challenged with continuous data movement and transformation at scale can streamline complicated loading processes for complex data types and eliminate the need for standalone tools like Spark and Informatica that add latency and overhead to hyperscale workloads. Once data is transformed into a relational format and loaded or streamed, Ocient’s ELT capabilities support massive joins, groupings, and aggregations that enable customers to optimize query performance, activate transformed datasets, and prepare variations of source data for data science and operational data stores without needing to move or copy data.
New real-time analytics features – Version 22 marks the general availability of Hyperloglog (HLL) sketches for Ocient’s suite of real-time analytics capabilities so customers can create rollups of data using approximations on aggregated metrics and accelerate query processing without sacrificing performance. Ocient’s ability to execute compute-intensive log-level aggregation, high concurrency queries, and always-on data streaming for real-time analytics alongside complex, compute-intensive OLAP-style workloads enables customers to streamline operations and consolidate a variety of mixed analytical workloads onto a single platform.
Query performance enhancements – To enable customers to enrich data at scale while lowering latency and reducing costs, Ocient version 22 delivers query performance enhancements via I/O pushdown and join optimizations on hyperscale tables with hundreds of billions of rows. When combined with Ocient’s support for semi-structured and multidimensional data types, these enhancements enable Ocient to accelerate query plans on highly complex data sets while tightly controlling costs.
Support for integrations with Metabase and Superset – Ocient version 22 offers new integrations with Metabase and Superset for easy data visualization and integration into existing customer environments. Both integrations leverage Ocient’s geospatial analytics and in-database machine learning (ML) so customers can quickly visualize and act on ML model results without the need for additional ELT processes or requirements.
“In today’s economic environment, enterprises looking to scale their data and analytics requirements must pursue innovation while bringing greater efficiencies and cost savings to their business,” said Chris Gladwin, CEO at Ocient. “With version 22, Ocient is enabling customers with the capabilities they need to increase price performance, consolidate multiple resource-intensive tools into a single solution, and unlock new opportunities for product development and real-time decision intelligence to help grow their business.”
From piloting new solutions to full production deployments, Ocient helps customers simplify complex data pipelines while facilitating the time-intensive task of engineering new end-to-end solutions with comprehensive migration support and services. When consolidating multiple databases and tools into a single solution, Ocient’s Customer Solutions team ensures customers move from pilot to production in weeks to months, with ROI delivered in a year or less. Ocient provides flexibility to deploy on premises and on cloud with Google or AWS, or as a fully managed solution in OcientCloud.
To learn more about the Ocient Hyperscale Data Warehouse, click here.
About Ocient
Ocient is the leading hyperscale data analytics solutions company that enables organizations to unlock value by analyzing trillions of data records at performance levels and costs previously unattainable. Leading organizations around the world trust Ocient’s team of industry experts to design and deploy proven complex solutions that enable and fast-track new revenue opportunities and streamline operations. Ocient’s pilot-to-production solutions are rapidly deployed on premises, in the Ocient Cloud or in the public cloud, with little to no resource-intensive integration. Ocient is a carbon-neutral company, headquartered in Chicago, and backed by leading investors including Greycroft, OCA Ventures and In-Q-Tel. For more information, please visit www.ocient.com.
Read More
BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA SCIENCE
Prnewswire | April 04, 2023
KX today announced the general availability of one of the industry's first Data Timehouse platforms, kdb Insights Enterprise on Microsoft Azure. The offering helps accelerate AI, machine learning (ML) and analytics for AI-driven business innovation based on time-oriented observability of business interactions, decisions, and digital twin infrastructure with up to 100X the performance and 1/10th of the cost of alternative solutions.
A Data Timehouse is a new class of data & AI management platform designed for temporal data generated by digital transformation. They enrich traditional data warehouse and lakehouse stores for a more complete, real-time view of the business.
The Microsoft Azure Data Timehouse, based on kdb Insights Enterprise, includes native support for Python, SQL, temporal analytics, and the ability to process time series data in real-time. It provides data scientists, data engineers, and application developers precision access to temporal data on real-time and massive historical datasets with the Azure native tools they use today.
KX engineering enables data and AI-driven business innovation for Azure customers
The KX Data Timehouse innovation with Microsoft powers any dynamically changing system that requires greater observability, like generative AI, time-based data collection, simulation, and IoT-based systems. It helps the enterprise identify patterns, trends, and causality, and more accurately predict behaviors and forecast results based on what is happening in the moment.
It will target business applications where the processing and analysis of time series and machine data is a critical business requirement—such as market data in financial services, network data in the telecoms industry, patient data in healthcare, and sensor data from factory equipment and smart energy meters.
Kdb Insights Enterprise on Azure helps businesses worldwide deliver more insight from more data, faster, for a fraction of the cost, driving more business value, instant insights, more comprehensive AI models, and reduced risk.
Larry Pickett, Chief Information & Digital Officer, Syneos Health: "Our collaboration with KX and Azure has been instrumental in helping further advance our technology and data capabilities with the goal of accelerating development of new therapies for patients. Together, we are working to use the power of data analytics and AI to unblock data access and compute challenges, to compress both timeframes and costs. We are thrilled to take our work to the next level and deliver even stronger results for customers with kdb Insights Enterprise on Azure.
Ashok Reddy, KX CEO: "With the launch of kdb Insights Enterprise on Azure, we are introducing the industry first Data Timehouse. This innovation enriches cloud data warehouse and lakehouse technologies so that precision time-based data can be a first-class data citizen beside structured, semi-structured and unstructured data. When it comes to operationalizing these ML and AI workloads, kdb Insights Enterprise on Azure is designed for real-time deployment at scale. It was conceived from our work with the demanding time-based enterprises in the world, on Wall Street. Today, enabling data-driven decisions in real-time is at the heart of every digitally transforming enterprise for better operational and commercial outcomes."
Corey Sanders, Corporate Vice President of Microsoft Cloud for Industry: "In partnership with KX, we are pleased to launch one of industry's first Data Timehouse on the Microsoft Azure platform. While in preview, we have already seen impressive results for customers in capital markets, healthcare, manufacturing, and energy. We look forward to working with KX to help businesses achieve transformative growth with kdb Insights Enterprise on Azure."
Available now on the Azure Marketplace, kdb Insights Enterprise on Azure will enable customers to contribute towards their organization's Microsoft Azure Consumption Commitment (MACC) simplifying deployment, adoption, and billing. More information can be found at https://kx.com/partners/microsoft-azure/
About KX
Technology decision makers are often frustrated that, despite ongoing investments, their data systems are not keeping pace with their decision-making needs. They turn to KX to help them act on time-sensitive opportunities where speed, scale, and reliability matter. KX built its technology and reputation in the most demanding data environments in the world.
Since the company’s inception, KX’s singular goal has been to provide its customers with the fastest, most efficient, and most flexible tools for processing real-time and historical data to derive actional insights that drive critical business decisions.
Read More
BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT
Fivetran | March 02, 2023
On March 1, 2023, Fivetran, a leading automated data movement solutions provider, launched three new offerings that make it the most comprehensive and complete enterprise-grade platform for automated data movement. The platform helps companies automate the process of maintaining and building data pipelines to centralize data from various sources into one centralized location, eliminating one of the most tedious tasks data engineers face. Fivetran's ELT process is fully automated, with prebuilt pipelines that deploy in minutes and adjust to source APIs and schemas changes.
Fivetran has extended its data movement platform with three new products, offering options for secure, real-time, and high-volume database replication for all deployment types:
The Fivetran Data Movement Platform provides safe, real-time, high-volume database replication choices for all deployment types. The High-Volume Agent (HVA) Connectors read directly from the source system's logs using log-based change data capture. An agent minimizes replication latency and supports large volumes of data, enabling enterprise users to access up-to-date, accurate, and granular data in near real time. In addition, the HVA connectors provide incremental updates and schema-drift monitoring, making them the optimal solution for high-volume replication use cases.
The Private Deployment option allows highly secure enterprises managing healthcare, defense, finance, and other sensitive data the choice to host Fivetran on-premises or in their own virtual private cloud (VPC). Due to security concerns, firms in highly regulated industries or with sensitive data were limited in where and how they could centralize their data. By deploying Fivetran in their own environment, these firms can modernize and simplify their tech stacks while complying with industry, company and regional policies. Modernizing infrastructure in this way lowers the total ownership cost since there are no heavy infrastructure or intensive set-up requirements.
Fivetran's AWS GovCloud Support allows government agencies to deploy the platform using AWS GovCloud to meet specific regulatory government requirements for handling data. AWS GovCloud enables government agencies to leverage the economies of the cloud while being compliant with FedRAMP for safe data movement. Furthermore, users can utilize AWS PrivateLink so that data is never exposed to the public internet.
About Fivetran
Fivetran is a leading automated data movement solutions provider specializing in automating the ELT process by handling the most time-consuming tasks, schema drift, such as extracts and transformations. This allows data engineers to concentrate on higher-impact projects while experiencing total pipeline peace of mind. Thousands of leading firms, including Lionsgate, Autodesk, Morgan Stanley, Conagra Brands, and Ziff Davis, trust its fully managed service to power mission-critical workloads and drive data-informed business decisions. Headquartered in Oakland, California, the company has a global presence, with offices in various parts of the world.
Read More