# Read from Kinesis Data Streams using third-party integrations
<a name="using-services-third-party-read"></a>

You can read data from Amazon Kinesis Data Streams data streams using one of the following third-party options that integrate with Kinesis Data Streams. Select the option you want to learn more about and find resources and links to relevant documentation.

**Topics**
+ [Apache Flink](using-other-services-read-flink.md)
+ [Adobe Experience Platform](using-other-services-read-adobe.md)
+ [Apache Druid](using-other-services-read-druid.md)
+ [Apache Spark](using-other-services-read-spark.md)
+ [Databricks](using-other-services-read-databricks.md)
+ [Kafka Confluent Platform](using-other-services-read-kafka.md)
+ [Kinesumer](using-other-services-read-kinesumer.md)
+ [Talend](using-other-services-read-talend.md)

# Apache Flink
<a name="using-other-services-read-flink"></a>

Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. For more information on consuming Kinesis Data Streams using Apache Flink, see [Amazon Kinesis Data Streams Connector](https://nightlies.apache.org/flink/flink-docs-release-1.15/docs/connectors/datastream/kinesis/). 

# Adobe Experience Platform
<a name="using-other-services-read-adobe"></a>

Adobe Experience Platform enables organizations to centralize and standardize customer data from any system. It then applies data science and machine learning to dramatically improve the design and delivery of rich, personalized experiences. For more information on consuming Kinesis data streams using the Adobe Experience Platform, see [Amazon Kinesis connector](https://experienceleague.adobe.com/docs/experience-platform/sources/connectors/cloud-storage/kinesis.html). 

# Apache Druid
<a name="using-other-services-read-druid"></a>

Druid is a high performance, real-time analytics database that delivers sub-second queries on streaming and batch data at scale and under load. For more information on ingesting Kinesis data streams using Apache Druid, see [Amazon Kinesis ingestion](https://druid.apache.org/docs/latest/development/extensions-core/kinesis-ingestion.html). 

# Apache Spark
<a name="using-other-services-read-spark"></a>

Apache Spark is a unified analytics engine for large-scale data processing. It provides high-level APIs in Java, Scala, Python and R, and an optimized engine that supports general execution graphs. You can use Apache Spark to build stream processing applications that consume the data in your Kinesis data streams. 

To consume Kinesis data streams using Apache Spark Structured Streaming, use the Amazon Kinesis Data Streams [connector](https://github.com/awslabs/spark-sql-kinesis-connector). This connector supports consumption with Enhanced Fan-Out, which provides your application with dedicated read throughput of up to 2 MB of data per second per shard. For more information, see [Developing Custom Consumers with Dedicated Throughput (Enhanced Fan-Out)](https://docs.aws.amazon.com/streams/latest/dev/enhanced-consumers.html). 

To consume Kinesis data streams using Spark Streaming, see [Spark Streaming \$1 Kinesis Integration](https://spark.apache.org/docs/latest/streaming-kinesis-integration.html). 

# Databricks
<a name="using-other-services-read-databricks"></a>

Databricks is a cloud-based platform that provides a collaborative environment for data engineering, data science, and machine learning. For more information on consuming Kinesis data streams using Databricks, see [Connect to Amazon Kinesis](https://docs.databricks.com/structured-streaming/kinesis.html). 

# Kafka Confluent Platform
<a name="using-other-services-read-kafka"></a>

Confluent Platform is built on top of Kafka and provides additional features and functionality that help enterprises build and manage real-time data pipelines and streaming applications. For more information on consuming Kinesis data streams using the Confluent Platform, see [Amazon Kinesis Source Connector for Confluent Platform](https://docs.confluent.io/kafka-connectors/kinesis/current/overview.html#features). 

# Kinesumer
<a name="using-other-services-read-kinesumer"></a>

Kinesumer is a Go client implementing a client-side distributed consumer group client for Kinesis data streams. For more information, see [Kinesumer Github repository](https://github.com/daangn/kinesumer). 

# Talend
<a name="using-other-services-read-talend"></a>

Talend is a data integration and management software that allows users to collect, transform, and connect data from various sources in a scalable and efficient manner. For more information on consuming Kinesis data streams using Talend, see [Connect talend to an Amazon Kinesis stream](https://help.talend.com/r/en-US/Cloud/connectors-guide/connector-kinesis).