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What is Tinybird?

Leverage Pipes to effortlessly query and manipulate your data, presenting a fresh technique for connecting SQL queries inspired by the functionality of Python Notebooks. This innovative strategy is designed to reduce complexity while ensuring top-notch performance. By segmenting your query into multiple nodes, you significantly improve both the development and upkeep of your data processes. With a single click, you can deploy your API endpoints, making them production-ready in no time. Transformations occur in real-time, guaranteeing that you always have access to the latest data available. You can easily and securely share data access with just one click, yielding prompt and reliable results. Tinybird not only provides monitoring tools but is also built to scale with ease, alleviating concerns about sudden increases in traffic. Visualize the capability to convert any Data Stream or CSV file into a fully secured real-time analytics API endpoint within minutes. We support high-frequency decision-making across various industries, including retail, manufacturing, telecommunications, government, advertising, entertainment, healthcare, and financial services, thereby making data-driven insights available to diverse organizations. Our mission is to enable businesses to make quick and informed decisions, ensuring they remain competitive in a rapidly changing environment while fostering innovation and growth.

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

Amazon S3
Apache Flink
Apache Hive
Apache Hudi
Apache Kafka
Apache Spark
Baidu Palo
Disco.dev
Google Cloud BigQuery
Google Cloud Storage
MySQL
OpenMetadata
PostgreSQL
Resmo
SelectDB
Snowflake
TapData
VeloDB

Integrations Supported

Amazon S3
Apache Flink
Apache Hive
Apache Hudi
Apache Kafka
Apache Spark
Baidu Palo
Disco.dev
Google Cloud BigQuery
Google Cloud Storage
MySQL
OpenMetadata
PostgreSQL
Resmo
SelectDB
Snowflake
TapData
VeloDB

API Availability

Has API

API Availability

Has API

Pricing Information

$0.07 per processed GB
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

Tinybird

Date Founded

2019

Company Location

United States

Company Website

www.tinybird.co

Company Facts

Organization Name

The Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

doris.apache.org

Categories and Features

API Management

API Design
API Lifecycle Management
Access Control
Analytics
Dashboard
Developer Portal
Testing Management
Threat Protection
Traffic Control
Version Control

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

Popular Alternatives

Popular Alternatives

Apache Doris Reviews & Ratings

Apache Doris

The Apache Software Foundation