Amazon Timestream vs ApsaraDB

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Amazon Timestream

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ApsaraDB

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Amazon Timestream vs ApsaraDB: What are the differences?

What is Amazon Timestream? Fast, scalable, serverless time series database. It is a fast, scalable, and serverless time series database service for IoT and operational applications that makes it easy to store and analyze trillions of events per day up to 1,000 times faster and at as little as 1/10th the cost of relational databases. It saves you time and cost in managing the lifecycle of time series data by keeping recent data in memory and moving historical data to a cost optimized storage tier based upon user defined policies.

What is ApsaraDB? A fully hosted online database service. It is an on-demand database hosting service for MySQL, SQL Server and PostgreSQL with automated monitoring, backup and disaster recovery capabilities.

Amazon Timestream and ApsaraDB can be primarily classified as "Databases" tools.

Some of the features offered by Amazon Timestream are:

  • High performance at low cost
  • Serverless with auto-scaling
  • Data lifecycle management

On the other hand, ApsaraDB provides the following key features:

  • Access control
  • Protection and encryption
  • SQL audit
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What is Amazon Timestream?

It is a fast, scalable, and serverless time series database service for IoT and operational applications that makes it easy to store and analyze trillions of events per day up to 1,000 times faster and at as little as 1/10th the cost of relational databases. It saves you time and cost in managing the lifecycle of time series data by keeping recent data in memory and moving historical data to a cost optimized storage tier based upon user defined policies.

What is ApsaraDB?

It is an on-demand database hosting service for MySQL, SQL Server and PostgreSQL with automated monitoring, backup and disaster recovery capabilities.

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What companies use Amazon Timestream?
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What tools integrate with Amazon Timestream?
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What are some alternatives to Amazon Timestream and ApsaraDB?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Microsoft SQL Server
Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
SQLite
SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.
See all alternatives