A Fully Managed Cassandra Database Engine
ApsaraDB for Cassandra adopts a distributed, masterless architecture that is built for scaling and offers continuous uptime, always-online support. The database engine supports both long and wide tables with tens of thousands of columns, and provides flexible schema capabilities. For instance, a single database cluster can be expanded to several petabytes of storage and can support tens of millions of read and write operations. This database service also provides several enterprise-level capabilities, including cross-data center disaster recovery, backup recovery, built-in security, and several intuitive and easy-to-use monitoring and management tools.
ApsaraDB for Cassandra is designed to help resolve the challenges often encountered when building a Cassandra database for a production environment.
Large Initial Investment and High Access Costs
Deploying a Cassandra database system offline can be costly, with much time, energy, and resources needed to cover the costs of setting up and maintaining the underlying infrastructure associated with the deployment.
System Instability and No SLA Guarantee
With offline and custom deployments, the availability and reliability of your Cassandra database is not guranteed. You have to be completely responsible for the operations and maintenance costs of your database system.
Complex Operations and Maintenance
With offline and custom deployments, there are no service-based solutions for fault repairs, cluster node maintenance, database scaling, or backup and recovery operations. Moreover, many of these operations must be completed manually, which is not only cumbersome but may also cause errors to occur.
Application Scenarios
Support a Real-Time Recommendation System
You can use ApsaraDB for Cassandra to build a real-time analytics system. For example, user event data collected from your web or mobile application can be instantly pushed to Kafka and stored in Cassandra, and analytics performed by Spark can build user profiles, which can then be fed into a real-time recommendation system.
Benefits
1. Superior Performance and Scalability
-ApsaraDB for Cassandra offers excellent high concurrent write performance and strong linear scalability. A single database cluster can be expanded to several petabytes of storage and can support tens of millions of read and write operations.
2. Agile and Easy-to-Use
- Cassandra Query Language (CQL) is similar to SQL, easy to learn.
- Cassandra supports Time to Live (TTL), when historical data expires, it is removed automatically.
3. Simplied O&M and Strong Reliability
-ApsaraDB for Cassandra has a 99.9% SLA guarantee. Visual management & monitoring system makes you can easily manage a Cassandra database system in the cloud.
Storing and Analysing Videos Online
ApsaraDB for Cassandra can quickly store and analyze video for safety, monitoring, or quality assurance purposes. Built with high concurrency and low latency in mind. With Cassandra, data is replicated across multiple data centers automatically.
Benefits
1. Always Online with No Downtime
-Cassandra is a continuous uptime, always-online system. Nodes are peer-to-peer, and single node failures do not lead to performance jitters, eliminating the possibility of service downtime.
2. High Throughput and Low Latency
-ApsaraDB for Cassandra offers excellent high concurrency write performance. It can support tens of millions of read and write operations with a few milliseconds latency.
3. Highly Scalable and Customizable
- With ApsaraDB for Cassandra, a single database cluster is highly scalable, which can expand from 2 to 500 nodes. In other words, you can easily scale Cassandra to your exact business requirements.
4. Native support cross-DC replication without synchronization tools.
Storing Social Media Feeds
ApsaraDB for Cassandra can be easily adopted to store the massive amount of data corresponding to social media feeds, including social media posts, articles, chats, comments, as well as user metadata.
Benefits
1. High Concurrency for Fast Write Performance
-Compared with the B + tree of traditional databases, Cassandra uses a LSM storage mode for better performance in high concurrent write scenarios. It can support tens of millions of read and write operations with a latency as low as only a few milliseconds.
2. Superior Cost Efficiency for Offline Data
- ApsaraDB for Cassandra supports local disk storage, so that you can minimize storage costs and maximaze storage capacity. Using local disk storage for cold data help you effectively lower corresponding storage costs.
3. Superior Performance for Online Databases
- ApsaraDB for Cassandra is suitable for building online databases with superior performance. Cassandra is a always-online system, supports fast SSD storage with low latency reads and writes, and can be built using a simple architecture and can be easily expanded as business grows.
IoT Time Series Database
ApsaraDB for Cassandra is suitable as a IoT time-series database system, as it supports both the storage and analysis sides of the equation. Cassandra also has superior query performance for single partition, point-in-time, and time period queries, having a latency of only a few milliseconds.
Benefits
1. Superior Performance
- Built to meet the high concurrency needs of massive terminal writes, Cassandra supports linear extension, and uses a LSM tree storage engine. All of these features result in superior write performance and query performance.
2. Efficient IoT Analytics
- You can easily connect ApsaraDB for Cassandra with Kafka and Spark to conduct data analysis in an efficient and timely manner.
Cross-Data Center Disaster Recovery
ApsaraDB for Cassandra supports deployments across multipe data centers and cross-data center disaster recovery and backup. With Cassandra, local reads and writes are given prioirty, thus improving overall read/write performance, but at the same time all write requests are also syncrhonized to another data center automatically, ensuring data redundancy.
Benefits
1. Native Support for Cross-Data Center Replication
- Cassandra natively supports cross-data center replication, allowing you to easily be able to implement a cross-data center disaster recovery as well as improve the overall reliability of your database system.
2. Agile and Easy-to-Use
- With ApsaraDB for Cassandra, existing data center instances can be expanded online to be replicated across data centers. You only need to click a few buttons in the console to complete this action.
3. Superior Performance
-Local read and write first, supports tens of millions of OPS read and write capabilities, and has low latency in milliseconds.
