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What is Query Streams?

Query Streams establishes a secure link between Google Sheets and Microsoft Excel, enabling users to access live databases effortlessly, without the complications of VPNs, firewall adjustments, or programming knowledge. Users can carry out real-time SQL queries and view the results instantly in their spreadsheets. The user-friendly add-on interface ensures that even individuals lacking technical skills can easily tweak parameters and fetch the latest data whenever necessary. Catering to a diverse audience that includes IT professionals, analysts, finance teams, developers, students, researchers, and anyone involved in personal or academic projects, Query Streams alleviates the burden of manual data exports and dependency on scheduled updates. It seamlessly integrates with major database systems, such as MySQL, PostgreSQL, SQL Server, MariaDB, SQLite, Access, and others. With features like collaborative queries, secure credential management, comprehensive access controls, and swift data compression, Query Streams effectively converts spreadsheets into interactive dashboards—streamlining both security and ease of use. This cutting-edge solution not only allows users to engage with their data in real-time but also significantly boosts productivity and informed decision-making. By facilitating effortless data interactions, Query Streams truly revolutionizes how individuals approach data management in their workflows.

What is Apache Doris?

Apache Doris is a sophisticated data warehouse specifically designed for real-time analytics, allowing for remarkably quick access to large-scale real-time datasets. This system supports both push-based micro-batch and pull-based streaming data ingestion, processing information within seconds, while its storage engine facilitates real-time updates, appends, and pre-aggregations. Doris excels in managing high-concurrency and high-throughput queries, leveraging its columnar storage engine, MPP architecture, cost-based query optimizer, and vectorized execution engine for optimal performance. Additionally, it enables federated querying across various data lakes such as Hive, Iceberg, and Hudi, in addition to traditional databases like MySQL and PostgreSQL. The platform also supports intricate data types, including Array, Map, and JSON, and includes a variant data type that allows for the automatic inference of JSON data structures. Moreover, advanced indexing methods like NGram bloomfilter and inverted index are utilized to enhance its text search functionalities. With a distributed architecture, Doris provides linear scalability, incorporates workload isolation, and implements tiered storage for effective resource management. Beyond these features, it is engineered to accommodate both shared-nothing clusters and the separation of storage and compute resources, thereby offering a flexible solution for a wide range of analytical requirements. In conclusion, Apache Doris not only meets the demands of modern data analytics but also adapts to various environments, making it an invaluable asset for businesses striving for data-driven insights.

Media

Media

Integrations Supported

MySQL
PostgreSQL
Apache Flink
Apache Hive
Apache Hudi
Apache Spark
Baidu Palo
Google Sheets
MariaDB
Microsoft Access
Microsoft Excel
OpenMetadata
SQL Server
SQLite
SelectDB
TapData
VeloDB

Integrations Supported

MySQL
PostgreSQL
Apache Flink
Apache Hive
Apache Hudi
Apache Spark
Baidu Palo
Google Sheets
MariaDB
Microsoft Access
Microsoft Excel
OpenMetadata
SQL Server
SQLite
SelectDB
TapData
VeloDB

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Query Streams

Date Founded

2025

Company Location

United States

Company Website

querystreams.com

Company Facts

Organization Name

The Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

doris.apache.org

Categories and Features

Categories and Features

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

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