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).

# Client applications and supported integrations
<a name="client-integrations"></a>

Run your client application from the same Region as Timestream for LiveAnalytics to reduce network latencies and data transfer costs. For more information about working with other services, see [Working with other services](OtherServices.md). The following are some other helpful links.
+  [ Best Practices for AWS Development with the AWS SDK for Java](https://docs.aws.amazon.com/sdk-for-java/v1/developer-guide/best-practices.html)
+  [ Best practices for working with AWS Lambda functions](https://docs.aws.amazon.com/lambda/latest/dg/best-practices.html)
+ [ Best Practices for Amazon Managed Service for Apache Flink](https://docs.aws.amazon.com/kinesisanalytics/latest/dev/best-practices.html)
+ [ Best practices for creating dashboards in Grafana](https://grafana.com/docs/grafana/latest/best-practices/best-practices-for-creating-dashboards/)