For similar capabilities to Amazon Timestream for LiveAnalytics, consider Amazon Timestream for InfluxDB. It offers simplified data ingestion and single-digit millisecond query response times for real-time analytics. Learn more [here](https://docs.aws.amazon.com//timestream/latest/developerguide/timestream-for-influxdb.html).

# Using batch load in Timestream for LiveAnalytics
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With *batch load* for Amazon Timestream for LiveAnalytics, you can ingest CSV files stored in Amazon S3 into Timestream in batches. With this new functionality, you can have your data in Timestream for LiveAnalytics without having to rely on other tools or write custom code. You can use batch load for backfilling data with flexible wait times, such as data that isn't immediately required for querying or analysis. 

You can create batch load tasks by using the AWS Management Console, the AWS CLI, and the AWS SDKs. For more information, see [Using batch load with the console](batch-load-using-console.md), [Using batch load with the AWS CLI](batch-load-using-cli.md), and [Using batch load with the AWS SDKs](batch-load-using-sdk.md).

In addition to batch load, you can write multiple records at the same time with the WriteRecords API operation. For guidance about which to use, see [Choosing between the WriteRecords API operation and batch load](writes.writes-or-batch-load.md).

**Topics**
+ [Batch load concepts in Timestream](batch-load-concepts.md)
+ [Batch load prerequisites](batch-load-prerequisites.md)
+ [Batch load best practices](batch-load-best-practices.md)
+ [Preparing a batch load data file](batch-load-preparing-data-file.md)
+ [Data model mappings for batch load](batch-load-data-model-mappings.md)
+ [Using batch load with the console](batch-load-using-console.md)
+ [Using batch load with the AWS CLI](batch-load-using-cli.md)
+ [Using batch load with the AWS SDKs](batch-load-using-sdk.md)
+ [Using batch load error reports](batch-load-using-error-reports.md)