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What are the alternatives to Hadoop?

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Alternatives to Hadoop include: 1. _Apache Spark_: An in-memory processing engine for big data analytics. 2. _Apache Flink_: A distributed processing engine for real-time data processing. 3. _Apache Cassandra_: A NoSQL database for handling large amounts of distributed data. 4. _Google Cloud...
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Alternatives to Hadoop include: 1. _Apache Spark_: An in-memory processing engine for big data analytics. 2. _Apache Flink_: A distributed processing engine for real-time data processing. 3. _Apache Cassandra_: A NoSQL database for handling large amounts of distributed data. 4. _Google Cloud Bigtable_: A fully-managed NoSQL database service for large-scale analytics. 5. _Amazon DynamoDB_: A fast, fully-managed NoSQL database service. 6. _Microsoft Azure Cosmos DB_: A globally distributed, multi-model database service. 7. _Snowflake_: A cloud-based data warehousing solution. 8. _Amazon Redshift_: A cloud-based data warehousing solution. 9. _Google BigQuery_: A fully-managed enterprise data warehouse service. 10. _Apache Impala_: An open-source SQL engine for Hadoop data. 11. _Presto_: An open-source SQL engine for distributed data sources. 12. _Druid_: An open-source analytics data store. These alternatives offer varying degrees of similarity to Hadoop, but all support big data processing, analytics, and storage. Some focus on specific aspects like real-time processing (Flink), in-memory processing (Spark), or NoSQL databases (Cassandra, DynamoDB). Others offer cloud-based solutions (Bigtable, Snowflake, Redshift, BigQuery). read less
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1. **Apache Spark**: Fast, in-memory processing for batch and real-time data. 2. **Apache Flink**: Stream processing with low-latency, real-time analytics. 3. **Apache Storm**: Real-time data stream processing. 4. **Apache Samza**: Scalable stream processing integrated with Kafka. 5. **Presto**:...
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1. **Apache Spark**: Fast, in-memory processing for batch and real-time data.

2. **Apache Flink**: Stream processing with low-latency, real-time analytics.

3. **Apache Storm**: Real-time data stream processing.

4. **Apache Samza**: Scalable stream processing integrated with Kafka.

5. **Presto**: Distributed SQL query engine for fast data querying.

6. **Google BigQuery**: Scalable cloud-based data analysis.

7. **Amazon EMR**: Managed Hadoop, Spark, and Hive on AWS.

8. **Azure HDInsight**: Cloud service for Hadoop, Spark on Azure.

9. **Cloudera Data Platform**: Enterprise data cloud integrating Hadoop and Spark.

10. **Databricks**: Cloud-based analytics platform built on Apache Spark.

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