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What is TapData?

A live data platform utilizing Change Data Capture (CDC) enables the replication of various databases, enhances real-time data integration, and aids in the development of a real-time data warehouse. Through the application of CDC for synchronizing production line data held in DB2 and Oracle with a contemporary database, TapData has enabled the creation of an AI-driven real-time dispatch application that optimizes the semiconductor manufacturing workflow. The access to real-time data allows for rapid decision-making within the RTD application, leading to faster turnaround times and improved production yields. The client, a prominent telecommunications provider, manages numerous regional systems aimed at effectively serving local customers. By merging and unifying data from diverse sources and locations into one centralized data repository, the client has successfully created an order center that compiles orders from multiple applications. Furthermore, TapData integrates inventory information from over 500 stores, providing real-time insights into stock levels and customer preferences, which significantly enhances supply chain effectiveness. This cutting-edge strategy not only boosts operational performance but also equips the client to swiftly adapt to shifting market conditions, ensuring they remain competitive in a dynamic landscape. With this approach, the client positions themselves as a leader in leveraging data for strategic advantage.

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

Apache Hive
MySQL
PostgreSQL
SelectDB
ActiveMQ
AiChat
Apache Doris
Apache Hudi
Apache Spark
Azure Cosmos DB
Baidu Palo
Databend
GitHub
Google Sheets
Greenplum
MariaDB
Oracle Database
RabbitMQ
Redis
SQL Server

Integrations Supported

Apache Hive
MySQL
PostgreSQL
SelectDB
ActiveMQ
AiChat
Apache Doris
Apache Hudi
Apache Spark
Azure Cosmos DB
Baidu Palo
Databend
GitHub
Google Sheets
Greenplum
MariaDB
Oracle Database
RabbitMQ
Redis
SQL Server

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Free
Open source
Free Version
Free Trial Offered?

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

TapData

Date Founded

2019

Company Location

China

Company Website

tapdata.io

Company Facts

Organization Name

The Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

doris.apache.org

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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