BIG DATA MANAGEMENT
ClickHouse | December 07, 2022
Today, ClickHouse, Inc, creators of the online analytical processing (OLAP) database management system, announced the general availability of their newest offering, ClickHouse Cloud, a lightning-fast cloud-based database that simplifies and accelerates insights and analytics for modern digital enterprises. With no infrastructure to manage, ClickHouse Cloud architecture decouples storage and compute and scales automatically to accommodate modern workloads, so users do not have to size and tune their clusters to achieve blazing-fast query speeds. This launch includes a host of new product features, enhancing the security, reliability and usability of ClickHouse Cloud.
ClickHouse technology allows a company to turn their data into insights and innovation in near real-time, whether it's a bank trying to detect fraud or a streaming service tracking the next blockbuster. With every modern business relying on massive volumes of data, the ability to derive insights in milliseconds from petabytes of data becomes critically important. The launch of ClickHouse Cloud, available at both www.clickhouse.com and through the AWS Marketplace, allows any company to access this technology on demand for the first time.
ClickHouse Cloud is production-ready with a host of new features, including SOC 2 Type II compliance and uptime SLAs for production workloads, with a public trust center and status page that provide reassurance to customers building mission-critical data-based apps on the service. Following the successful acquisition of database client Arctype, users will benefit from a new SQL console that will enable them to connect, explore, and query their databases easily.
“The advantage of ClickHouse is speed and simplicity, and ClickHouse Cloud takes that to a new level, enabling businesses to start a service and analyze data a fraction of the cost of other solutions on the market, In just a few months, the ClickHouse Cloud beta has gained over 100 customers and thousands of new users spanning across developers, data analysts, marketing and other critical areas of business where data is analyzed and stored.”
-Aaron Katz, CEO of ClickHouse.
ClickHouse Cloud aligns with our desire to empower our developers to go from concept to delivery on real-time analytics use cases in days, speeding up the product innovation cycle drastically. We are thrilled to collaborate with ClickHouse Cloud when it comes to performance, scalability, and security, says Eyal Manor, Chief Product Officer of Twilio.
Over 100 paying customers have already adopted ClickHouse Cloud during the two-month beta phase, and are experiencing the ability to focus on developing business-critical data applications without the burden of operations resources.
In addition, the serverless, production-ready ClickHouse Cloud offering adds a tier optimized for development use cases. This is tuned for smaller workloads and recognizes the importance of lower-cost services enabling rapid prototyping of new features and data products. A user can now architect, model, and experiment with ClickHouse Cloud in preparation for a full production deployment.
Alongside these fundamental product announcements, ClickHouse is delighted to further validate its market opportunity, team, and business model following fresh investment from leading technology investor Thrive Capital, as an extension to its Series B. This funding will support further investment in technology and allow ClickHouse to continue building its world-leading team of software engineers.
“ClickHouse offers the most efficient database for fast and large-scale analytics, We have long admired this team and are excited to partner with them as they launch ClickHouse Cloud to an even wider audience.”
-Avery KIemmer, an investor at Thrive Capital.
About ClickHouse:
ClickHouse is the world's fastest and most resource-efficient online analytical column-oriented database management system. Now offered as a secure and scalable serverless offering in the cloud, ClickHouse Cloud allows anyone to effortlessly take advantage of efficient real-time analytical processing.
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BIG DATA MANAGEMENT, BUSINESS STRATEGY, DATA SCIENCE
Arize AI | January 24, 2023
On January 23, 2023, Arize AI, an industry leader in machine learning observability, introduced a connection solution for BigQuery, Redshift, Delta Lake, and Snowflake data lakes. As a result, Arize customers with centrally managed inference stores can rapidly connect their ML table data to Arize via Data Lake Connectors for strong model observability.
Arize is the market leader in terms of both volumes of models and predictions tracked, surpassing billions of predictions daily. So far, ML observability platforms have struggled to simplify their deployments while simultaneously managing billions of predictions and complicated monitoring services, such as embedding drift. The latest Arize version for data connectors expands clients' connectivity options with the widely used data lakes.
The launch comes as the machine learning community converges on various MLOps designs. A modern machine learning architecture approach involves storing inference data in a data lake. ML teams are designing these ML data lakes to power feature stores for feature serving and an inference store for analysis.
Arize Data Lake Connectors are intended for smooth integration with today's data lake architectures. Among the benefits of connecting directly to the ML data store are the following:
Financial savings can be substantial as compared to alternative techniques of ML monitoring.
Teams can run off of an SSOT
Integration and onboarding are accelerated and simplified
Arize now connects with cloud storage providers (such as Google Cloud Platform, Microsoft Azure, and Amazon Web Services), Python pipelines through an SDK, and Kafka Streaming. With this release, users of data lakes may get real-time model insights more efficiently than ever before. In addition, the platform provides fully managed built-in connectors as part of its cloud and VPC platform, eliminating the need for users to build and maintain complex data pipelines or use a separate ETL tool and providing real-time model performance analysis and monitoring.
About Arize AI
Arize AI offers an ML observability platform that monitors models and provides insights for troubleshooting production AI. The firm was established in 2020 in Berkeley, California. It allows corporate clients to monitor the performance of AI models using software that searches for unanticipated biases in algorithms, does root-cause analysis when issues arise, and enhances overall model performance. Arize operates in the background, analyzing internal and external data to forecast demand and eliminate supply chain network errors and sales losses. Adobe, Chick-fil-A, and eBay are among the fifty clients of Arize AI.
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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, BUSINESS STRATEGY
Matillion | November 09, 2022
Matillion, the leader in data productivity, today announced an investment from Databricks Ventures. The strategic investment underpins Databricks' support of the Data Productivity Cloud, to integrate more data, free up resources, and empower data practitioners.
"We welcome Matillion to the Databricks Ventures portfolio and look forward to deepening our partnership with their team. "Matillion's code-optional data ingestion and transformation capabilities are purpose built for Databricks and allow our joint customers to quickly build data pipelines and seamlessly collaborate on the Databricks Lakehouse Platform."
Andrew Ferguson, VP, Corporate Development & Ventures, Databricks
As longtime partners, Matillion and Databricks share a rapidly expanding joint customer base with a notable concentration in biosciences, healthcare, and energy. The Data Productivity Cloud provides a complete solution for loading, transforming, synchronizing and orchestrating data in the Databricks Lakehouse Platform:
Matillion ETL for Databricks Partner Connect and Matillion Data Loader quickly and easily ingest data at speed and scale into Delta Lake, the open format that is the foundation of the Databricks Lakehouse Platform.
With Matillion, Databricks users can bring in operational data sources, SaaS applications, legacy data warehouse insights, and more into their lakehouse for a unified dataset that is ready for analytics and AI.
Matillion enables new personas with a code-optional approach to transform raw data in the lakehouse in order to make it analytics-ready.
"To unleash the full potential of their cloud data, teams need to achieve new levels of productivity with their data using open, scalable technology. With Matillion and Databricks, data teams can feel empowered to work quickly and flexibly to deliver data to the business," said Matthew Scullion, CEO, and Co-founder, Matillion. "This investment from Databricks will support Matillion's current and future technical integrations into the lakehouse and bring more data productivity to our shared customers."
About Matillion
Matillion is The Data Productivity Cloud
Matillion helps teams get data business-ready, faster — accelerating time-to-value and increasing the impact data can have.
Thousands of enterprises including Cisco, DocuSign, Pacific Life, Slack, and TUI trust Matillion to load, transform, sync, and orchestrate their data for a wide range of use cases from insights and operational analytics, to data science, machine learning, and AI.
Native integration with popular cloud data platforms lets data teams at every skill level automate management, refinement, and data delivery for every data integration need.
About Databricks Ventures
Databricks Ventures is the strategic investment arm of Databricks, the lakehouse company. Databricks Ventures invests in innovative companies that align with our view of the future for data, analytics and AI; and are committed to extending the lakehouse ecosystem or using the lakehouse architecture to create the next generation of data and AI-powered companies.
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