Amazon Elasticsearch Service
Amazon Elasticsearch Service is a managed service that makes it easy to deploy, operate, and scale Elasticsearch in the AWS Cloud.
Some of the top features or benefits of Amazon Elasticsearch Service are: Scalability, Managed Service, Integration, Security, High Availability, and Cost Efficiency. You can visit the info page to learn more.
Amazon Elasticsearch Service Alternatives & Competitors
The best Amazon Elasticsearch Service alternatives based on verified products, community votes, reviews and other factors.
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Open-Source Alternatives.
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Amazon 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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Seamless 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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Create ai humanized SEO content tailored for ecommerce and small businesses with HappySEO tools. From ai writer to keyword research and analyze tools.
Key happySEO features:
Humanize AI Writing AI SEO Keywords Local AI SEO SEO Tracking
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Elasticsearch is an open source, distributed, RESTful search engine.
Key ElasticSearch features:
Scalability Real-Time Data Full-Text Search Complex Query Support
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TIBCO Spotfire is a Business Intelligence (BI) solution that provides users with executive dashboards, data visualization, data analytics and KPIs push to mobile devices.
Key TIBCO Spotfire features:
Comprehensive Data Visualization Advanced Analytics User-Friendly Interface Integration Capabilities
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Algolia's Search API makes it easy to deliver a great search experience in your apps & websites. Algolia Search provides hosted full-text, numerical, faceted and geolocalized search.
Key Algolia features:
Speed Ease of Integration Customizable Relevance Scalability
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Azure Stream Analytics offers real-time stream processing in the cloud.
Key Azure Stream Analytics features:
Real-time Data Processing Ease of Use Scalability Integration with Azure Ecosystem
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Easily 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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Cloud Pub/Sub is a flexible, reliable, real-time messaging service for independent applications to publish & subscribe to asynchronous events.
Key Google Cloud Pub/Sub features:
Scalability Global Availability Asynchronous Communication Integration
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Learn about Azure Event Hubs, a managed service that can ingest and process massive data streams from websites, apps, or devices.
Key Azure Event Hubs features:
Scalability Fully Managed Integration Data Retention
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Flink 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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iManage Work Product Management helps to organize and track the complete lifecycle of a professional engagement.
Key iManage Work features:
Enhanced Collaboration Document Security Integration Capabilities Version Control
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Confluent 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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StreamSets provides Continuous Ingest technology for the next generation of big data applications.
Key StreamSets features:
User-Friendly Interface Real-Time Data Processing Comprehensive Connectors Data Drift Management
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