The Author: Ryan Chou

• Why Webhook Not Enough

• High Throughput & Low Latency Choice

• Stream Data On The Cloud

• Keep Moving On Sync

In Web3, there are extremely high requirements for real-time and data continuity. Although Webhooks have demonstrated their powerful real-time messaging capabilities in many ways, there are still some obvious disadvantages and challenges.

Firstly, Webhooks typically operate via HTTP callbacks, which are susceptible to network instability, resulting in data delays or loss. When a large number of events are triggered at the same time, Webhooks can face performance bottlenecks that cannot ensure that each event is delivered to the application in a timely and accurately.

Additionally, for Web3 applications that necessitate the handling of massive data streams, the data processing approach of Webhooks might appear overly simplistic and limited, failing to cater to intricate data stream requirements.

This is where Kafka comes in. Kafka not only provides high throughput and low latency data transmission, but also supports data replayability, ensuring that every piece of data can be accurately processed and stored. Offering Web3 Apps a more stable and reliable data stream processing solution.

The difference between Real-Time response and Latency is a key factor in building Web3 Apps, Especially for Web3 data, Kafka has many advantages and is more cost-effective than traditional approaches like Webhook.

• High Throughput: Kafka’s design naturally supports high throughput, allowing it to handle thousands to millions of events per second. For Web3 Apps, especially when dealing with frequent Smart Contract interactions, Cross-Chain transactions, and other intricate data flows, Kafka ensures seamless processing of large datasets without Lag.

• Low Latency: the speed at which On-Chain events occur is fast, and Kafka’s low latency ensures that the time between data generation and its availability for consumption is minimized. This fast data transfer plays a key role in decentralized applications.

• Replayability: An outstanding feature of Kafka is its ability to retain and replay messages. This is especially critical for Web3 data, as it ensures the persistence of the data, allowing developers to backtrack and verify the historical data on the chain at any time, which is very valuable in ensuring data transparency and immutability.

• Seamless Integration: Kafka effortlessly integrates with various Web3 Data Apps. Whether it's build on MainChain, SideChain, or Cross-Chain data, everything can be smoothly processed and disseminated on the Kafka.

Kafka’s high throughput, low latency, and replayability, combined with its specific optimizations for Web3 data, make it ideal for handling Web3 decentralized data. It would enables developers to build more efficient and real-time Web3 Apps.

Chainbase offers developers a potent and flexible data processing solution through its cloud-based Kafka service. It inherits all core features of Kafka and further integrates a series of optimizations for Web3 data. Auto-Scaling, real-time backups, and specific smart contracts and transactions datasets.

Compared to Self-hosted Kafka Service. Chainbase Cloud-Native Kafka offering is more user-friendly. advanced management tools, and a dedicated technical support team ensure developers can effortlessly manage and optimize their data streams without the burden of intricate maintenance tasks.

Those provides Web3 developers an efficient, reliable, and manageable data stream processing solution.

To satisfy growing demand for Web3 data. More and more Networks and Abstracted datasets would be added in coming Months. Our aim is to provide a quick and convenient way to use On-Chain data.

With the launch of Chainbase Cloud-Native Kafka, Our journey has just begun. We remain confident and optimistic, believing that with relentless efforts and innovation, We'll continue to serve more and more Web3 developers with even more reliable and efficient solutions.

Go Chainbase Keep Moving On Sync!

Chainbase is an open Web3 data infrastructure for accessing, organizing, and analyzing on-chain data at scale. It helps people to better utilize on-chain data by combining rich datasets with open computing technologies in one data platform. Chainbase’s ultimate goal is to increase data freedom in the crypto.

More than 5,000 developers actively interact with our platform and over 200Mn data requests per day as their data backend and integrate chainbase into their main workflow.  Additionally, we are working with ~10 top-tier public chains as first-tier validators and managing over US $500Mn tokens non-custodially as a validator provider. Find out more at: chainbase.com

Sign up for a free account, and Check out our documentation.

Website｜Blog｜Twitter｜Discord｜Link3

The Original Link: The Cloud-Native Kafka Low-Latency & High Throughput Way to Stream Web3 Data

The Author: Ryan Chou

• Why Webhook Not Enough

• High Throughput & Low Latency Choice

• Stream Data On The Cloud

• Keep Moving On Sync

In Web3, there are extremely high requirements for real-time and data continuity. Although Webhooks have demonstrated their powerful real-time messaging capabilities in many ways, there are still some obvious disadvantages and challenges.

Firstly, Webhooks typically operate via HTTP callbacks, which are susceptible to network instability, resulting in data delays or loss. When a large number of events are triggered at the same time, Webhooks can face performance bottlenecks that cannot ensure that each event is delivered to the application in a timely and accurately.

Additionally, for Web3 applications that necessitate the handling of massive data streams, the data processing approach of Webhooks might appear overly simplistic and limited, failing to cater to intricate data stream requirements.

This is where Kafka comes in. Kafka not only provides high throughput and low latency data transmission, but also supports data replayability, ensuring that every piece of data can be accurately processed and stored. Offering Web3 Apps a more stable and reliable data stream processing solution.

The difference between Real-Time response and Latency is a key factor in building Web3 Apps, Especially for Web3 data, Kafka has many advantages and is more cost-effective than traditional approaches like Webhook.

• High Throughput: Kafka’s design naturally supports high throughput, allowing it to handle thousands to millions of events per second. For Web3 Apps, especially when dealing with frequent Smart Contract interactions, Cross-Chain transactions, and other intricate data flows, Kafka ensures seamless processing of large datasets without Lag.

• Low Latency: the speed at which On-Chain events occur is fast, and Kafka’s low latency ensures that the time between data generation and its availability for consumption is minimized. This fast data transfer plays a key role in decentralized applications.

• Replayability: An outstanding feature of Kafka is its ability to retain and replay messages. This is especially critical for Web3 data, as it ensures the persistence of the data, allowing developers to backtrack and verify the historical data on the chain at any time, which is very valuable in ensuring data transparency and immutability.

• Seamless Integration: Kafka effortlessly integrates with various Web3 Data Apps. Whether it's build on MainChain, SideChain, or Cross-Chain data, everything can be smoothly processed and disseminated on the Kafka.

Kafka’s high throughput, low latency, and replayability, combined with its specific optimizations for Web3 data, make it ideal for handling Web3 decentralized data. It would enables developers to build more efficient and real-time Web3 Apps.

Chainbase offers developers a potent and flexible data processing solution through its cloud-based Kafka service. It inherits all core features of Kafka and further integrates a series of optimizations for Web3 data. Auto-Scaling, real-time backups, and specific smart contracts and transactions datasets.

Compared to Self-hosted Kafka Service. Chainbase Cloud-Native Kafka offering is more user-friendly. advanced management tools, and a dedicated technical support team ensure developers can effortlessly manage and optimize their data streams without the burden of intricate maintenance tasks.

Those provides Web3 developers an efficient, reliable, and manageable data stream processing solution.

To satisfy growing demand for Web3 data. More and more Networks and Abstracted datasets would be added in coming Months. Our aim is to provide a quick and convenient way to use On-Chain data.

With the launch of Chainbase Cloud-Native Kafka, Our journey has just begun. We remain confident and optimistic, believing that with relentless efforts and innovation, We'll continue to serve more and more Web3 developers with even more reliable and efficient solutions.

Go Chainbase Keep Moving On Sync!

Chainbase is an open Web3 data infrastructure for accessing, organizing, and analyzing on-chain data at scale. It helps people to better utilize on-chain data by combining rich datasets with open computing technologies in one data platform. Chainbase’s ultimate goal is to increase data freedom in the crypto.

More than 5,000 developers actively interact with our platform and over 200Mn data requests per day as their data backend and integrate chainbase into their main workflow.  Additionally, we are working with ~10 top-tier public chains as first-tier validators and managing over US $500Mn tokens non-custodially as a validator provider. Find out more at: chainbase.com

Sign up for a free account, and Check out our documentation.

Website｜Blog｜Twitter｜Discord｜Link3

The Original Link: The Cloud-Native Kafka Low-Latency & High Throughput Way to Stream Web3 Data