Spark Streaming
Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.
Some of the top features or benefits of Spark Streaming are: Scalability, Integration, Fault Tolerance, Ease of Use, and Unified Platform. You can visit the info page to learn more.
Spark Streaming Alternatives & Competitors
The best Spark Streaming alternatives based on verified products, community votes, reviews and other factors.
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Open-Source Alternatives.
EU Alternatives.
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/confluent-alternativesConfluent offers a real-time data platform built around Apache Kafka.
Key Confluent features:
Scalability Real-Time Data Processing Comprehensive Ecosystem Ease of Use
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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
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Visit websiteDo-It-Yourself Data Analytics & Business Intelligence, Powered by AI.
Key Grapple features:
Automatic Data Refresh Universal Data Library Natural Language Map Data
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/google-cloud-dataflow-alternativesGoogle Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
Key Google Cloud Dataflow features:
Scalability Fully Managed Unified Programming Model Integration
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/leo-platform-alternativesLeo enables teams to innovate faster by providing visibility and control for data streams.
Key Leo Platform features:
Scalability Real-Time Processing Ease of Use Integration
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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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/lenses-alternativesDiscover our high quality range of over 40 interchangeable camera lenses including A-mount and E-mount lenses crafted for a range of shooting situations.
Key Lenses features:
High-Quality Optics Variety of Options Advanced Technology Compatibility
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/striim-alternativesStriim provides an end-to-end, real-time data integration and streaming analytics platform.
Key Striim features:
Real-time Data Integration Wide Range of Connectors Scalability Low-latency Processing
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/spring-cloud-data-flow-alternativesSpring Cloud Data Flow is a platform capable of stream and batch data pipelines having the tools to create delicate topologies.
Key Spring Cloud Data Flow features:
Scalability Ease of Use Integration Flexibility
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/streamsets-data-collector-alternativesThe StreamSets Data Collector (SDC) is used to build, test and execute dataflow pipelines for data lake and multi-cloud data movement plus cybersecurity, IoT and customer 360 applications.
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/piesync-alternativesSeamless two-way sync between your CRM, marketing apps and Google in no time.
Key PieSync features:
Two-Way Sync User-Friendly Interface Pre-Built Connectors Customizable Sync Rules
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/kibana-alternativesEasily visualize data pushed into Elasticsearch from Logstash, es-hadoop or 3rd party technologies...
Key Kibana features:
User-Friendly Interface Powerful Visualizations Real-Time Data Analysis Integration with Elastic Stack
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/amazon-elasticsearch-service-alternativesAmazon Elasticsearch Service is a managed service that makes it easy to deploy, operate, and scale Elasticsearch in the AWS Cloud.
Key Amazon Elasticsearch Service features:
Scalability Managed Service Integration Security
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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
