Salesforce has been recognized as a Leader in the inaugural Gartner Magic Quadrant for Customer Data Platforms. The company was evaluated for Salesforce
Salesforce は「Salesforce Data Cloud」において、ガートナーが発表した「2024 Gartner® Magic Quadrant™ for Customer Data Platform 」で、実行能力とビジョンの完全性の両軸で最上位の位置づけでリーダーの１社と評価されました
Gartner®は、主要なクラウド・インフラストラクチャ・プロバイダを対象とする2つの重要なレポート、2022年 Gartner Magic Quadrant for Cloud Infrastructure and Platform Services（CIPS）、2022年 Critical Capabilities for Cloud Infrastructure and Platfor...
We are excited to share that Gartner has positioned Microsoft as a Leader once again in the 2022 Gartner Magic Quadrant for Data Integration Tools. We believe this recognition shows our continued g...
Informatica is named a Leader in three Gartner® Magic Quadrant™ reports – for iPaaS, Data Integration Tools and Data Quality Solutions.
Gartner recently released two key reports covering the major cloud infrastructure providers: The 2022 Gartner Magic Quadrant for Cloud Infrastructure and Platform Services (CIPS) and the 2022 Criti...
We are pleased to announce that Cloudera has been named a Leader in the 2022 Gartner® Magic Quadrant™ for Cloud Database Management Systems. Cloudera has been recognized in this cloud DBMS report since its inception in 2020. This year we’ve been named a Leader. This validates our sign
How ETL evolved ; Businesses have been generating data since the age of the abacus, but modern analytics only became possible with the arrival of the digital computer and data storage. A major step forward arrived in the 1970s, with a move to larger centralized databases. ETL was then introduced as a process for integrating and loading data for computation and analysis, eventually becoming the primary method to process data for data warehousing projects. In the late 1980s, data warehouses and the move from transactional databases to relational ...
Learn more about Databricks selection as a Leader in 2023 Gartner® Magic Quadrant for Cloud Database Management Systems.
Implementing a data fabric as the trusted data foundation to infuse and scale AI implementations · Support for multiple integration patterns including replication, virtualization, batch and bulk, ELT with SQL pushdown remote runtime data integration as-a-service execution capabilities for on-premises and multi-cloud execution · Multi-directional data movement topology with high volume and low-latency integration · Building, managing and securing APIs, as well as creating event-driven flows with hundreds of applications and systems ...