Data Management News for the Week of October 7; Updates from Coalesce, Komprise, SingleStore, and More

Top Data Management News for the Week Ending October 7, 2022

The editors at Solutions Review have curated this list of the most noteworthy data management news items for the week of October 7, 2022.

Keeping tabs on all the most relevant big data and data management news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last week, in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy big data and data management news items.


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Top Data Management News for the Week Ending October 7, 2022

ArangoDB Launches ArangoGraphML and ArangoGraph Insights Platform

ArangoGraphML provides enterprise-ready, graph-powered machine learning (ML) available as a cloud service – helping both experts and non-experts turn deeper insights into innovations. Powered by the ArangoDB graph database, ArangoGraph Insights Platform (ArangoGraph) is a cloud-based graph data and analytics platform that uncovers insights in data that are difficult or impossible to obtain with traditional SQL, document, or even other graph databases

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Coalesce Raises $26 Million in Series A Funding for Snowflake Data Transformation

Coalesce combines the speed of an intuitive graphical user interface (GUI), the flexibility of code, and the efficiency of automation for data transformations. This round follows a momentous year for Coalesce as the company exited stealth and raised $5.92 million in seed funding in January. This round of funding will build on that momentum with Coalesce continuing to invest in the product and ecosystem.

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IT Infrastructure Player Kyndryl Partners with Teradata on AI Data Modernization

The companies are uniting Kyndryl’s Data and AI services and infrastructure management capabilities with Teradata’s high-performance cloud analytics and data platform to help customers modernize and migrate their on-prem data warehouses to the cloud with hyperscaler platforms. Kyndryl and Teradata will also collaborate to help customers use AI to derive better insights and outcomes from their hybrid and multi-cloud data environments by designing, enabling and supporting enterprise data modernization solutions.

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Materialize Announces Early Release of New Streaming Database

Materialize delivers in a single platform the separation of storage and compute, strict-serializability, active replication, horizontal scalability, and workload isolation — all through a simple SQL interface available as a fully-managed cloud service. Materialize’s PostgreSQL-compatible interface lets users leverage the tools they already use as well.

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Ocient’s Data Warehouse is Now Available in the AWS Marketplace

Customers may engage directly with Ocient in AWS Marketplace, or with Ocient partners and resellers who can now offer Ocient deployed on AWS to their network of customers. AWS customers can harness the performance at scale of Ocient’s Compute Adjacent Storage Architecture (CASA) optimized for nonvolatile memory express (NVMe) solid state drives (SSDs), high-core-count processors and 100GB networking.

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SingleStore Secures $146 Million in Series F-2 Financing

Led by Goldman Sachs, This funding comes on the heels of SingleStore’s recent onboarding of Senior Vice President of Marketing Sanjay Aurora. SingleStore also welcomed Prosperity7 as a new investor as part of its F-2 funding round. SingleStore announced its product integration with SAS Viya earlier this summer, was recognized by Dresner Advisory Services and TrustRadius, and was included on the Inc. 5000 list.

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Editor's Choice BadgeEditor’s Choice in e-Learning and Online Training: Data Streaming Nanodegree (Udacity)

This module will show you how to build a production-ready data infrastructure. This training will take you 5 months to complete, and intermediate Python and SQL skills are recommended. Students will learn to create relational and NoSQL data models to fit the diverse needs of data consumers, as well as sharpen their data warehousing skills and deepen their understanding of data infrastructure.

View training.

 

 

 

 

 


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