READERS' CHOICE AWARDS 2020
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| Publicado en: | Database Trends and Applications vol. 34, no. 4 (Aug/Sep 2020), p. 9 |
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| Autor principal: | |
| Publicado: |
Information Today, Inc.
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| Materias: | |
| Acceso en línea: | Citation/Abstract Full Text Full Text - PDF |
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| 245 | 1 | |a READERS' CHOICE AWARDS 2020 | |
| 260 | |b Information Today, Inc. |c Aug/Sep 2020 | ||
| 513 | |a General Information | ||
| 520 | 3 | |a Representative of the IT market itself, the product categories in this year's competition are diverse, with well-established technologies such as relational database management, MultiValue, and BI but feature also newer ones, including AI and cognitive computing, graph databases, and the Internet of Things. Congratulations to all, and thanks to everyone who submitted nominations and voted! BEST AI AND COGNITIVE SOLUTION TensorFlow FINALISTS * Azure Machine Learning * Google AI BEST BI SOLUTION Tableau FINALISTS * Microsoft Power BI * Quest Toad Data Point BEST BIG DATA PLATFORM Cloudera Data Cloud Platform FINALISTS * Microsoft Azure * Amazon EMR BEST CDC SOLUTION Qlik Replicate FINALISTS * IBM InfoSphere CDC * Quest SharePlex BEST CLOUD DATABASE Amazon RDS FINALISTS * Microsoft Azure * Couchbase Cloud BEST CLOUD SOLUTION Microsoft Azure FINALISTS * Amazon Web Services * Quest Software Spotlight Cloud BEST DATA ANALYTICS SOLUTION GoodData Analytics Platform FINALISTS * Databricks * Qlik Sense BEST DATA GOVERNANCE SOLUTION erwin Data Intelligence FINALISTS * IBM InfoSphere Information Governance Catalog * Cloudera Shared Data Experience BEST DATA INTEGRATION SOLUTION Devart dotConnect ADO.NET providers FINALISTS * Quest SharePlex * SnapLogic BEST DATA LAKE TOOL Snowflake FINALISTS * Okera Active Data Access Platform * Zaloni BEST DATA MODELING SOLUTION erwin Data Modeler FINALISTS * dbForge Studio for MySQL * Quest Toad Data Modeler BEST DATA QUALITY SOLUTION Quest Toad Data Point Professional FINALISTS * SAS * Trifacta Wrangler BEST DATA REPLICATION SOLUTION Quest SharePlex FINALISTS * Qlik Replicate * Striim Software Platform BEST DATA SECURITY SOLUTION IBM Guardium FINALISTS * Oracle Audit Vault and Database Firewall * IDERA SQL Compliance Manager BEST DATA STORAGE SOLUTION Amazon Simple Storage FINALISTS * Microsoft Azure Storage * Quest QoreStor BEST DATA VIRTUALIZATION SOLUTION Denodo Platform FINALISTS * Quest Foglight Evolve * IBM InfoSphere Federation Server BEST DATA VISUALIZATION SOLUTION Qlik Sense FINALISTS * Tableau * AppDynamics Experience Journey Map BEST DATABASE BACKUP SOLUTION Percona XtraBackup FINALISTS * Devart dbForge for SQL Server * Commvault Complete Backup & Recovery BEST DATABASE DEVELOPMENT SOLUTION Navicat Premium FINALISTS * Quest Toad Development Suite for Oracle * Devart dbForge SQL Complete BEST DATABASE OVERALL Couchbase FINALISTS * Microsoft SQL Server * Oracle Database BEST DATABASE PERFORMANCE SOLUTION SolarWinds Performance Analyzer FINALISTS * Quest Foglight for Database * Navicat Monitor BEST DBA SOLUTION Quest Toad DBA Suite FINALISTS * SentryONE SQL Sentry * Navicat Premium BEST GRAPH DATABASE Neo4j FINALISTS * Amazon Neptune * TigerGraph BEST IN-MEMORY SOLUTION Couchbase Server FINALISTS * SAP HANA * Oracle Database with In-Memory Option BEST IOT SOLUTION Microsoft Azure IoT FINALISTS * Couchbase Mobile * AWS IoT Platform BEST MULTIVALUE DATABASE Rocket MultiValue (D3/U2/UniVerse/UniData) FINALISTS * Revelation OpenInsight * Pick Cloud DBaaS BEST NOSQL DATABASE Redis FINALISTS * Couchbase * DataStax BEST RELATIONAL DATABASE Oracle Database FINALISTS * Microsoft SQL Server * MariaDB BEST STREAMING SOLUTION Apache Flink FINALISTS * Quest SharePlex * Microsoft StreamInsight Couchbase Businesses today work in real-time, not batches. To come close to equaling what this database does, organizations would need: a document database, front-end cache, SQL database, distributed transaction manager, full-text search engine, an MPP database in the cloud, a Mobile/Embedded database, and mobile back-end services at the edge. The award-winning Denodo Platform propels data virtualization to the forefront with innovations that modernize today's data management: * Hybrid cloud/multi-cloud integration-Whether it is initial migration to the cloud or further expansion to multiple clouds, Denodo enables organizations to accelerate data integration across different locations while lowering operational costs and leveraging PaaS-style infrastructure automation and autoscaling support. * Machine learning/data science automation-With Denodo's machine learning-aided data catalog, data scientists can discover and prepare data for building complex data models and aid advanced analytics. * API/microservices enhancements-New support for execution of GraphQL on top of logical data models promotes no-code approach to use of REST APIs and accelerates adoption of advanced microservices architectures. * Hyper performance-Denodo Platform maximizes query delegation and boosts performance to sub-second responses with AI-powered recommendations, and caching and smart query acceleration for frequent, expensive queries. | |
| 653 | |a Scientific visualization | ||
| 653 | |a Technological change | ||
| 653 | |a Internet of Things | ||
| 653 | |a Mathematical analysis | ||
| 653 | |a Trends | ||
| 653 | |a Memory | ||
| 653 | |a Organizations | ||
| 653 | |a Relational data bases | ||
| 653 | |a Architecture | ||
| 653 | |a Data integration | ||
| 653 | |a Business intelligence software | ||
| 653 | |a Automation | ||
| 653 | |a Machine learning | ||
| 653 | |a Search engines | ||
| 653 | |a Servers | ||
| 653 | |a Query languages | ||
| 653 | |a Data points | ||
| 653 | |a COVID-19 | ||
| 653 | |a Innovations | ||
| 653 | |a Data management | ||
| 653 | |a Web services | ||
| 653 | |a Modernization | ||
| 653 | |a Data models | ||
| 653 | |a Economic conditions | ||
| 653 | |a Caching | ||
| 653 | |a Massive data points | ||
| 653 | |a Data replication | ||
| 653 | |a Cloud computing | ||
| 653 | |a Pandemics | ||
| 653 | |a Databases | ||
| 653 | |a Connectivity | ||
| 653 | |a Data storage | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Coronaviruses | ||
| 653 | |a Software | ||
| 653 | |a Digital media | ||
| 653 | |a Data science | ||
| 773 | 0 | |t Database Trends and Applications |g vol. 34, no. 4 (Aug/Sep 2020), p. 9 | |
| 786 | 0 | |d ProQuest |t ABI/INFORM Trade & Industry | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/2440493608/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/2440493608/fulltext/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/2440493608/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |