Big Data Management

Data Integration and Streaming Leader Introduces Striim Cloud

Striim
Striim, Inc., announced the release of Striim Cloud on Google Cloud, the quickest method for businesses to provide real-time data and insights to enable corporate intelligence and decision-making in the digital economy. Striim Cloud is the first and only fully-managed software-as-a-service (SaaS) platform for real-time data streaming and integration in the industry. Customers can simply design real-time data pipelines to stream billions of events per day with a few clicks, supported by enterprise-grade operational, security, and management capabilities. Customers can revolutionize their organizations by embracing new cloud models, digitizing old systems, and updating their application architecture with Striim Cloud's zero-maintenance, endlessly scalable platform. When combined with Google Cloud's unified data and AI models, organizations will be able to harness their data to better their company.

Sudhir Hasbe, Sr. Director, Product Management, Google Cloud said that “Organizations that are digitally transforming their businesses are increasingly seeking out solutions that enable real-time data analysis and action within their key business operations. With Striim Cloud now available on Google Cloud, customers will have greater access to the technologies that will help them harness the power of their data to make business decisions in real time."

With recent global economic trends resulting in a more scattered workforce, operations in a variety of sectors (retail, manufacturing, logistics/supply chain, healthcare) have been driven to become more responsive and dependable. These changes increase the need for real-time, streaming data. With real-time data, operations directors may utilize analytics to gauge demand and cost-to-serve, allowing them to make more educated choices.

Legacy ETL systems were not built to meet the demands of today's contemporary, dynamic businesses. The traditional "batch" data integration paradigm cannot handle real-time applications such as contemporary customer experience, business intelligence, decision-making, real-time operations, and others. Streaming data and analytics, on the other hand, guide client strategies and tactics throughout the whole company; yet, to be successful, customers need real-time systems to ingest, process, query, and analyze data in order to offer insights and allow real-time choices. Striim Cloud on Google Cloud provides these enterprise functionalities.

“Real-time decision making is quickly becoming ‘table stakes’ for any business that expects to compete effectively across a multitude of industries. Striim Cloud is a powerful, cloud-based, SaaS platform that gives enterprise customers an invaluable advantage in reaching this goal. We’re thrilled to make Striim Cloud’s capabilities available to Google Cloud customers worldwide."

Phillip Cockrell, senior vice president of business development, Striim Inc.

Striim Cloud on Google Cloud provides real-time autonomous data pipelines that allow organizations of all sizes, from FORTUNE 500 giants to startups, to smoothly transition their traditional application architectures to contemporary, cloud-native designs with little impact. The platform detects source database updates using change data capture (CDC), minimizing the effect on other activities and ensuring the most up-to-date data possible. Customers can constantly query, enrich, and conduct analysis on a live data stream in transit rather than querying the data after it has arrived at the destination database or data warehouse, allowing them to create applications and enhance data capabilities without affecting performance.

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Data Visualization

Airbyte Integrates with Datadog for Superior Data Pipeline Management

Airbyte | September 11, 2023

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Business Intelligence

Alation Launches Analytics Cloud1 Elevating Data Culture Assessment

Alation | October 12, 2023

Alation, Inc., a prominent data intelligence company, has unveiled its latest offering, Alation Analytics Cloud1. This unified reporting platform empowers organizations to gain insights into their data usage and, in doing so, assess the effectiveness of their data initiatives and the overall maturity of their data culture. The stakes are high in today's data-driven landscape, given the vast opportunities associated with data, analytics, and AI, and organizations can no longer afford to operate with disjointed data efforts that lack a clear connection to value. Alarmingly, a vast majority of Chief Data Officers (CDOs) fail to accurately assess and price the business outcomes generated by their data and analytics efforts, as revealed by Harvard Business Review. Consequently, there is a pressing need for a framework that enables organizations to benchmark and enhance their data management capabilities as they become critical strategic endeavors. However, this void has persisted because organizations have lacked the tools required to quantify the value and impact of their data initiatives on their business operations. Moreover, disparate teams within organizations often employ distinct data analysis methods, emphasizing the necessity for a solution that facilitates the consistent assessment of critical usage statistics, thereby fostering the growth of a robust data culture. The Alation Analytics Cloud offers a framework to articulate the business value of data initiatives. Leveraging Alation's innovative Query Log Ingestion technology, leaders can gain insights into which data sources are most frequently accessed and which teams are executing specific queries. This knowledge enables data leaders to comprehensively map data consumption across the entire organization. These insights serve a dual purpose, facilitating the measurement of the effectiveness of diverse data programs and, subsequently, enabling an assessment of the maturity level of an organization's data culture. These insights can also be harnessed to optimize queries and rationalize data sources, for example, by expediting the migration of frequently used datasets or the retirement of data sources that are no longer in active use, thereby reducing costs. Key benefits of the Alation Analytics Cloud include the ability to: Measure Data Culture Maturity: Organizations can now measure their data culture maturity by examining four vital components: data leadership, data search and discovery, data literacy, and data governance. Score Data Programs: Data leaders are empowered to gauge the progress of their data initiatives using a variety of metrics, such as total assets curated, the number of active users, and many other relevant indicators. Map Data Consumption: Business and data leaders can gain visibility into the efficacy of individual data products by closely tracking actual usage. Reports provide valuable insights into which queries are being executed by specific users on various data stores, including details about the total execution time of database queries, thus pinpointing areas that can be optimized. About Alation Alation is a leading enterprise data intelligence solutions provider, offering capabilities that empower self-service analytics, drive cloud transformation, and enhance data governance. Over 500 leading enterprises, including prominent names like Cisco, Nasdaq, Pfizer, Salesforce, and Virgin Australia, rely on Alation to cultivate a data culture and bolster data-driven decision-making. The company's commitment to excellence is evidenced by its recognition on Inc. Magazine's Best Workplaces list four times, its status as a UK's Best Workplaces in tech and Best Workplaces for Women in 2022, and its continued accolades as a UK's Best Workplaces in 2022 and 2023.

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Big Data Management

Arity Launches Arity IQ on Google Cloud's Analytics Hub

Business Wire | October 19, 2023

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Data Science

Airbyte Announces Additional Vector Database Connectors, Making Hundreds of Data Sources Available for Artificial Intelligence Applications

Business Wire | October 20, 2023

Airbyte, creators of the fastest-growing open-source data movement platform, today made available additional connectors for the Milvus, Qdrant and Weaviate vector databases as the destination for moving data from hundreds of data sources, which then can be accessed by artificial intelligence (AI) models. We were the first general-purpose data movement platform to add support for vector databases – the first to build a bridge between data movement platforms and AI, said Michel Tricot, CEO, Airbyte. Now, we are doubling down as our users are clamoring for more and more vector database support so they don’t have to struggle with creating custom code to bring in data; they can use the new Airbyte connector to select the data sources they want. Because vector databases have the ability to detect and identify relationships in data, their usage has become increasingly popular as users seek to gain more meaning from data. Vector databases are ideal for applications like recommendation systems, anomaly detection and natural language processing, and as sources for AI applications – specifically Large Language Models (LLM). The vector database destination in Airbyte now enables users to configure the full ELT pipeline, starting from extracting records from a wide variety of sources to separating unstructured and structured data, preparing and embedding text contents of records, and finally loading them into vector databases – all through a single, user-friendly interface. These vector databases can then be accessed by LLMs. All existing advantages of the Airbyte platform are now extended to vector databases, including: The largest catalog of data sources that can be connected within minutes, and optimized for performance. Availability of the no-code connector builder that makes it possible to easily and quickly create new connectors for data integrations that addresses the “long-tail” of data sources. Ability to do incremental syncs to only extract changes in the data from a previous sync. Built-in resiliency in the event of a disrupted session moving data, so the connection will resume from the point of the disruption. Secure authentication for data access. Ability to schedule and monitor status of all syncs. Airbyte continues to innovate and support cutting-edge technologies to empower organizations in their data integration journey. The addition of more vector database support marks another significant milestone in Airbyte's commitment to providing powerful and efficient solutions for data integration and analysis. Certified connectors for both Airbyte Cloud and Airbyte Open Source Software (OSS) versions are now available for Milvus, Pinecone, and Weaviate. There is a community connector for both versions of Airbyte for Qdrant, as well as a community connector for Airbyte OSS available for Chroma. More options are planned for the future. Airbyte makes moving data easy and affordable across almost any source and destination, helping enterprises provide their users with access to the right data for analysis and decision-making. Airbyte has the largest data engineering contributor community – with more than 800 contributors – and the best tooling to build and maintain connectors. About Airbyte Airbyte is the open-source data movement leader running in the safety of your cloud and syncing data from applications, APIs, and databases to data warehouses, lakes, and other destinations. Airbyte offers four products: Airbyte Open Source, Airbyte Enterprise, Airbyte Cloud, and Powered by Airbyte. Airbyte was co-founded by Michel Tricot (former director of engineering and head of integrations at Liveramp and RideOS) and John Lafleur (serial entrepreneur of dev tools and B2B). The company is headquartered in San Francisco with a distributed team around the world. To learn more, visit airbyte.com.

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