Audience
Companies in need of a real-time data warehousing service
About AnalyticDB
AnalyticDB for MySQL is a high-performance data warehousing service that is secure, stable, and easy to use. It allows you to easily create online statistical reports, multidimensional analysis solutions, and real-time data warehouses. AnalyticDB for MySQL uses a distributed computing architecture that enables it to use the elastic scaling capability of the cloud to compute tens of billions of data records in real time. AnalyticDB for MySQL stores data based on relational models and can use SQL to flexibly compute and analyze data. AnalyticDB for MySQL also allows you to easily manage databases, scale in or out nodes, and scale up or down instances. It provides various visualization and ETL tools to make enterprise data processing easier. Provides instant multidimensional analysis and can explore large amounts of data in milliseconds.
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Amazon Redshift
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VeloDB
Powered by Apache Doris, VeloDB is a modern data warehouse for lightning-fast analytics on real-time data at scale.
Push-based micro-batch and pull-based streaming data ingestion within seconds. Storage engine with real-time upsert、append and pre-aggregation. Unparalleled performance in both real-time data serving and interactive ad-hoc queries.
Not just structured but also semi-structured data. Not just real-time analytics but also batch processing. Not just run queries against internal data but also work as a federate query engine to access external data lakes and databases.
Distributed design to support linear scalability. Whether on-premise deployment or cloud service, separation or integration of storage and compute, resource usage can be flexibly and efficiently adjusted according to workload requirements.
Built on and fully compatible with open source Apache Doris. Support MySQL protocol, functions, and SQL for easy integration with other data tools.
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Apache Doris
Apache Doris is a modern data warehouse for real-time analytics. It delivers lightning-fast analytics on real-time data at scale.
Push-based micro-batch and pull-based streaming data ingestion within a second. Storage engine with real-time upsert, append and pre-aggregation.
Optimize for high-concurrency and high-throughput queries with columnar storage engine, MPP architecture, cost based query optimizer, vectorized execution engine.
Federated querying of data lakes such as Hive, Iceberg and Hudi, and databases such as MySQL and PostgreSQL.
Compound data types such as Array, Map and JSON. Variant data type to support auto data type inference of JSON data. NGram bloomfilter and inverted index for text searches.
Distributed design for linear scalability. Workload isolation and tiered storage for efficient resource management. Supports shared-nothing clusters as well as separation of storage and compute.
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GaussDB
GaussDB (for MySQL) is a next generation MySQL-compatible, enterprise-class distributed database service. It uses a decoupled compute and storage architecture and data functions virtualization (DFV) storage that auto-scales up to 128 TB per DB instance. There is virtually no risk of data loss. It supports millions of QPS throughputs and cross-AZ deployment, combining the performance and reliability of commercial databases with the flexibility of open source databases. By decoupling compute and storage, connecting them through RDMA, and using a "log as database" architecture, you can get seven times the performance of open-source databases. To scale read capacity and performance, you can add up to 15 read replicas for a primary node within minutes. GaussDB(for MySQL) is fully compatible with MySQL. You can easily migrate your MySQL databases to GaussDB(for MySQL) without reconstructing existing applications and without sharding.
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Pricing
Starting Price:
$0.248 per hour
Integrations
Company Information
Alibaba Cloud
Founded: 2008
China
www.alibabacloud.com/es/product/analyticdb-for-mysql
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