Kafka
A robust and high-throughput way to stream Web3 data.
Overview
The Cloud-Native Kafka, It was designed to a robust and high-throughput, adept at handling vast volumes of data with unparalleled efficiency. Its core attributes, such as High Throughput and Low Latency, make it an ideal choice for applications that demand rapid and consistent data transfer.
With its inherent Reliability and Replayability, Cloud-Native Kafka ensures that no piece of data is ever lost in the shuffle. Whether you're dealing with high-frequency trading platforms in the DeFi or managing large-scale dApp user activities, Its capabilities offer a distinct advantage in the bustling world of Web3.
Scenarios
- High-frequency Trades Analysis in DEX: Cloud-Native Kafka's ability to handle large amounts of real-time trade data provides exchanges with instant trade analytics, aiding traders in making more informed decisions. Its high throughput ensures that during peak trading times, every piece of trade data is accurately captured.
- Liquidity Monitoring in DeFi: In DeFi, the rate of liquidity changes can be swift. Cloud-Native Kafka tracks these changes in real-time, offering users the latest liquidity information, thereby assisting them in making timely investment decisions.
- Real-time in NFT Markets: In NFT markets, tracking its dynamics event in real-time becomes crucial. Cloud-Native Kafka captures every purchase, sale, or auction event, offering market participants the latest market trends.
Benefits
Here are the core benefits the Chainbase Cloud-Native Kafka could offer:
- High Throughput: Tailored for large-scale Web3 data updates, The Cloud-Native Kafka ensures that data transmission is done efficiently and at unparalleled speeds.
- Reliability: With redundant data storage across a distributed system, Chainbase Cloud-Native Kafka guarantees data preservation and accessibility, and keep the service 7/24 reliable.
- Low Latency: Benefit from near-instantaneous data transmission with Kafka's low latency feature. Whether it's for real-time analytics or time-sensitive applications, Kafka ensures minimal delay from data generation to consumption.
- Replayability: Dive back into past data streams at any point, enabling a comprehensive review and ensuring Web3 data integrity and accuracy over time.
Quick Start
1. Enable Kafka Integration
When you enter the Sync - Kafka
integration, you will see the integration-enable panel as below. Just click the enable
button to turn on the integration. the system would automatically initialize the Consumer-Group
which bind to account.

Enable Kafka Integration

BootStrap Server & Consumer Group
Once you have enable the integration. The Bootstrap Servers
& Consumer Group
connection information has show on the top-left.
2. Create Kafka Credentials(Key:Secret)
And next, you must to create a credentials before you need to connect the Cloud-Native kafka. Just click the Credentials
to create.

Once you click the create
button, the credentials will be initialized and show on the popup
WARN: Download or Copy to save the Credentials which just show once when created. You must create a credential when connecting a new topic, A new Topic corresponds to a new certificate
The credentials created would be show in table as above.
3. Choose the dataset to preview the format

Preview dataset format
Supported Topics
When using kafka to consume data, you can use the topics listed in the table below as the Kafka Topic
.
Network | Kafka Topics |
---|---|
ethereum | ethereum_blocks ethereum_contracts ethereum_erc20_transfer ethereum_transactions ethereum_logs ethereum_traces |
optimism | optimism_blocks optimism_contracts optimism_erc20_transfer optimism_transactions optimism_logs optimism_traces |
bsc | bsc_blocks bsc_contracts bsc_erc20_transfer bsc_transactions bsc_logs bsc_traces |
polygon | polygon_blocks polygon_contracts polygon_erc20_transfer polygon_transactions polygon_logs polygon_traces |
avalanche | avalanche_blocks avalanche_contracts avalanche_erc20_transfer avalanche_transactions avalanche_logs avalanche_traces |
arbitrum | arbitrum_blocks arbitrum_contracts arbitrum_erc20_transfer arbitrum_transactions arbitrum_logs arbitrum_traces |
base | base_blocks base_contracts base_erc20_transfer base_transactions base_logs base_traces |
zksync | zksync_blocks zksync_contracts zksync_erc20_transfer zksync_transactions zksync_logs zksync_traces |
4. Connect with Credentials
Just continue with the button, The examples of different language would be show to u as the step-2 connect with client
References
The Cloud-Native Kafka: Boosting Data Synchronization Reliability and Consistency
Updated about 2 months ago