Apache Spark
Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Apache Spark Alternatives & Competitors
The best Apache Spark alternatives based on verified products, community votes, reviews and other factors.
Some of the top features or benefits of Apache Spark are: Speed, Ease of Use, Advanced Analytics, Scalability, Support for Various Data Sources, and Active Community. You can visit the info page to learn more.
We have listed more than 10 alternatives to Apache Spark. You can find them below. The top competitors are: Apache Flink, Hadoop, and Apache Kafka. Apart from the top ones, people also compare Apache Spark with Apache Parquet, Spring Batch, and Oracle PL/SQL. The latest product that identified Apache Spark as a competitor is DeltaForge. "15 data science tools to consider using in 2021" is the last article that we know that reviews or compares Apache Spark to other products.
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/apache-flink-alternativesFlink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Key Apache Flink features:
Real-time Stream Processing Event Time Processing State Management Fault Tolerance
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/hadoop-alternativesOpen-source software for reliable, scalable, distributed computing.
Key Hadoop features:
Scalability Cost-Effective Fault Tolerance Flexibility
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Try for freeA simple way to keep all your data under control. Build your own business applications in just 4 minutes.
Key Tabidoo features:
User-Friendly Interface Customizable Data Management Collaboration
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/apache-kafka-alternativesApache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
Key Apache Kafka features:
High Throughput Scalability Fault Tolerance Durability
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/apache-hive-alternativesApache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.
Key Apache Hive features:
Scalability SQL-like Interface Integration with Hadoop Ecosystem Schema on Read
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/apache-storm-alternativesApache Storm is a free and open source distributed realtime computation system.
Key Apache Storm features:
Real-Time Processing Scalability Fault Tolerance Broad Language Support
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/splunk-alternativesSplunk's operational intelligence platform helps unearth intelligent insights from machine data.
Key Splunk features:
Powerful Data Analysis Real-Time Processing Scalability Wide Range of Integrations
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/airflow-alternativesAirflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Key Apache Airflow features:
Scalability Extensibility Visualization Flexibility
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/pandas-alternativesPandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Key Pandas features:
Data Wrangling Flexible Data Structures Integration with Other Libraries Performance with Data Size
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/amazon-s3-alternativesAmazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.
Key Amazon S3 features:
Scalability Durability Security Integrations
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/amazon-athena-alternativesAmazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
Key Amazon Athena features:
Serverless Pay-as-you-go Scalable Integration with AWS ecosystem
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/apache-beam-alternativesApache Beam provides an advanced unified programming model to implement batch and streaming data processing jobs.
Key Apache Beam features:
Unified Model Portability Rich SDKs Windowing and Triggering
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/kubernetes-alternativesKubernetes is an open source orchestration system for Docker containers.
Key Kubernetes features:
Scalability Portability High Availability Extensibility
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/amazon-kinesis-alternativesAmazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
Key Amazon Kinesis features:
Real-time data processing Scalability Fully managed service Integration with AWS ecosystem
