Draft:Aqua Data Studio

IDERA Database Tools Expand Support for Cloud-Hosted Databases

Retrieved on: 
Tuesday, March 10, 2020
Networks, Security, Data management, Technology, Software, Database management systems, Databases, Data management, Data modeling tools, Cloud computing, ER/Studio, Idera, Inc., Cloud database, Database, Amazon Redshift, Draft:Aqua Data Studio, Cross-platform software

IDERA (an Idera, Inc. company), a provider of powerful database productivity tools, today announced an expanded portfolio of cloud-based database and workload management solutions for SQL Server.

Key Points: 
  • IDERA (an Idera, Inc. company), a provider of powerful database productivity tools, today announced an expanded portfolio of cloud-based database and workload management solutions for SQL Server.
  • ER/Studio to manage data models and data architecture with extensive support for cloud databases such as Amazon Redshift and Azure SQL Database.
  • Aqua Data Studio to manage databases, queries, and data, and visually analyze data with extensive support for cloud databases, including Snowflake Google BigQuery.
  • IDERA provides database tools that help IT professionals improve data quality, boost data performance, and ensure data integrity across complex environments.

IDERA SQL Diagnostic Manager for MySQL Improves Query Performance and Enterprise Security

Retrieved on: 
Tuesday, December 10, 2019
Networks, Security, Data management, Technology, Software, Database management systems, Databases, Data management, Cross-platform software, MariaDB, Data modeling tools, MySQL, Idera, Inc., Draft:Aqua Data Studio, Comparison of data modeling tools

IDERA (an Idera, Inc. company), a provider of powerful database productivity tools, today announced the latest release of SQL Diagnostic Manager for MySQL v8.9.

Key Points: 
  • IDERA (an Idera, Inc. company), a provider of powerful database productivity tools, today announced the latest release of SQL Diagnostic Manager for MySQL v8.9.
  • This release introduces new features that strengthen the query analysis and enterprise security of SQL Diagnostic Manager for MySQL to monitor databases in the cloud and on-premises with a single tool.
  • SQL Diagnostic Manager for MySQL was previously known as Monyog, which was part of Webyogs database administration and management products that Idera, Inc. acquired in April 2018.
  • SQL Diagnostic Manager for MySQL is an agentless monitoring tool that provides real-time insights to optimize MySQL and MariaDB server performance.

IDERA SQL Diagnostic Manager for SQL Server 10.5 Expands Performance Monitoring On-Premises and in the Cloud

Retrieved on: 
Tuesday, December 3, 2019
Software, Technology, Networks, Data management, Database management systems, Databases, Data management, Relational database management systems, Query languages, Idera, Inc., SQL Server, SQL, SQL Server Express, Draft:Aqua Data Studio

IDERA (an Idera, Inc. company) today announced the release of SQL Diagnostic Manager for SQL Server 10.5 with improvements for database performance monitoring on-premises and in the cloud.

Key Points: 
  • IDERA (an Idera, Inc. company) today announced the release of SQL Diagnostic Manager for SQL Server 10.5 with improvements for database performance monitoring on-premises and in the cloud.
  • As SQL Server databases increasingly migrate to the cloud, organizations must transition their SQL Server database deployments into hybrid cloud architectures.
  • SQL Diagnostic Manager 10.5 provides clarity and confidence in SQL Server database infrastructure, turbo-charging productivity for SQL Server database professionals and lowering the cost of ownership for those deployments.
  • SQL Diagnostic Manager radically lowers the cost of ownership for SQL Server deployments by turbo-charging productivity for DBAs, says Rob Reinauer, director of SQL Server product management at IDERA.

Altoros Releases 2019 Comparative Analysis of Database Query Languages in MySQL, Couchbase, and MongoDB

Retrieved on: 
Wednesday, November 20, 2019
Data management, Database management systems, Computing, Structured storage, Distributed computing architecture, MongoDB, NoSQL, Query language, MySQL, Apache HBase, SELECT, Draft:Aqua Data Studio

The study provided a comparative analysis of MySQL, Couchbase, and MongoDB queries in nine different business scenarios across seven metrics.

Key Points: 
  • The study provided a comparative analysis of MySQL, Couchbase, and MongoDB queries in nine different business scenarios across seven metrics.
  • This comparative report provides insights into how the three database languages structure queries and the differences in syntax and efficiency.
  • MongoDB provides MongoDB query, an API approach that allows users to filter, join, aggregate, order, and project the query result.
  • The Altoros 2019 Database Query Language Comparative Analysis provides technical decision-makers with the insights needed to select the right NoSQL offering that delivers on their business expectations.

Rockset Partners with Tableau to Power Real-Time Dashboards on NoSQL Data

Retrieved on: 
Thursday, November 7, 2019
Data management, Computing, Digital technology, Structured storage, NoSQL, Amazon DynamoDB, Database, Apache Kafka, Oracle NoSQL Database, Draft:Aqua Data Studio

Making it possible to capture NoSQL data from sources such as Apache Kafka and Amazon DynamoDB, Rockset provides seamless access to new data types and formats, allowing Tableau users to realize the full potential of operational monitoring and analytics on their business data.

Key Points: 
  • Making it possible to capture NoSQL data from sources such as Apache Kafka and Amazon DynamoDB, Rockset provides seamless access to new data types and formats, allowing Tableau users to realize the full potential of operational monitoring and analytics on their business data.
  • Today, businesses are challenged to understand the full story of their data as they fail to capture NoSQL data from databases like DynamoDB and event-streaming platforms like Kafka.
  • Developers and data engineers can run complex queries with the full power of SQL and, using Rocksets JDBC connector, enable visualizations that include NoSQL data from DynamoDB in Tableau dashboards in real time.
  • Using Rocksets JDBC connector, business teams are able to visualize real-time event streams that include NoSQL data in Tableau.

Aginity Provides a Collaborative Experience for SQL Server 2019 Customers to Discover, Manage and Share SQL

Retrieved on: 
Wednesday, November 6, 2019
SQL Server Pro, Magazines, Periodicals, Media in the United States, Draft:Aqua Data Studio

CHICAGO, Nov. 6, 2019 /PRNewswire/ -- Today, we're announcing that we've added support for SQL Server 2019 in our next-generation SQL analysis products, Aginity Pro and Aginity Team.

Key Points: 
  • CHICAGO, Nov. 6, 2019 /PRNewswire/ -- Today, we're announcing that we've added support for SQL Server 2019 in our next-generation SQL analysis products, Aginity Pro and Aginity Team.
  • SQL Server 2019 customers now have access to Aginity's next-generation SQL analysis tools, which re-imagine the way users and teams will share, collaborate and reuse analytic and data assets.
  • Using Aginity Pro and Aginity Team, SQL Server customers can:
    Make analytics meaningful to everyone.
  • Changing the game for SQL analysts, Aginity provides a SQL coding experience that empowers data analysts, data engineers, and data scientists to find, manage, govern, share and re-use SQL rather than recode it.

Upsolver Announces SQL-based ETL (Extract, Transform, Load) for Cloud Data Lakes to Democratize Big Data

Retrieved on: 
Wednesday, October 16, 2019
Data management, Computing, Digital technology, Data lake, Information and communications technology, Draft:Aqua Data Studio

SUNNYVALE, Calif., Oct. 16, 2019 /PRNewswire/ -- Upsolver , a rapidly growing big data startup and an Advanced Technology Partner in the Amazon Web Services (AWS) Partner Network (APN), has released SQL-based ETL for cloud data lakes.

Key Points: 
  • SUNNYVALE, Calif., Oct. 16, 2019 /PRNewswire/ -- Upsolver , a rapidly growing big data startup and an Advanced Technology Partner in the Amazon Web Services (AWS) Partner Network (APN), has released SQL-based ETL for cloud data lakes.
  • Upsolver 's SQL-based data preparation replaces thousands of lines of complex coding by big data engineers with familiar syntax and a visual interface, giving data scientists and analysts unprecedented ability to generate new insights from data lakes.
  • Data lake engineering has long been seen as the main roadblock to cloud data lake adoption.
  • Upsolver is the data lake ETL platform: a single platform to prepare streaming and historical big data for analysis using a visual platform and SQL, at data lake scale.

Upsolver Announces SQL-based ETL (Extract, Transform, Load) for Cloud Data Lakes to Democratize Big Data

Retrieved on: 
Wednesday, October 16, 2019
Data management, Computing, Digital technology, Data lake, Information and communications technology, Draft:Aqua Data Studio

SUNNYVALE, Calif., Oct. 16, 2019 /PRNewswire/ -- Upsolver , a rapidly growing big data startup and an Advanced Technology Partner in the Amazon Web Services (AWS) Partner Network (APN), has released SQL-based ETL for cloud data lakes.

Key Points: 
  • SUNNYVALE, Calif., Oct. 16, 2019 /PRNewswire/ -- Upsolver , a rapidly growing big data startup and an Advanced Technology Partner in the Amazon Web Services (AWS) Partner Network (APN), has released SQL-based ETL for cloud data lakes.
  • Upsolver 's SQL-based data preparation replaces thousands of lines of complex coding by big data engineers with familiar syntax and a visual interface, giving data scientists and analysts unprecedented ability to generate new insights from data lakes.
  • Data lake engineering has long been seen as the main roadblock to cloud data lake adoption.
  • Upsolver is the data lake ETL platform: a single platform to prepare streaming and historical big data for analysis using a visual platform and SQL, at data lake scale.