Top 10 IBM Compose for Elasticsearch Alternatives & Competitors

Top 10 Alternatives to IBM Compose for Elasticsearch Recently Reviewed By G2 Community

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Ninox
By Ninox Software GmbH
4.7/5
(360)
Product Description
Ninox is the easy no-code platform for everyone. Create your own Business Application that matches your workflow. Additionally Ninox promotes team collaboration functionalities and the integration of the most common used services e.g. Google and many more.
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Categories in common with IBM Compose for Elasticsearch:
Database as a Service (DBaaS)

Amazon DynamoDB
By Amazon Web Services (AWS)
4.4/5
(521)
Product Description
Nonrelational database for applications that need performance at any scale
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Categories in common with IBM Compose for Elasticsearch:
Database as a Service (DBaaS)
Document Databases

MongoDB Atlas
By MongoDB
4.5/5
(365)
Product Description
MongoDB Atlas empowers innovators to create, transform, and disrupt industries by unleashing the power of software and data.
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Categories in common with IBM Compose for Elasticsearch:
Database as a Service (DBaaS)
Document Databases
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Amazon Relational Database Service (RDS)
By Amazon Web Services (AWS)
4.5/5
(896)
Product Description
Amazon Relational Database Service (RDS) is a web service that makes it easy to set up, operate, and scale a relational DB in the cloud: Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle, and Microsoft SQL Server.
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Categories in common with IBM Compose for Elasticsearch:
Database as a Service (DBaaS)

DigitalOcean
By DigitalOcean
4.6/5
(732)
Product Description
DigitalOcean provides the best tools to control your virtual server in the cloud. Learn how we deliver the most intuitive interface and features so you can start building your web infrastructure today.
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Categories in common with IBM Compose for Elasticsearch:
Database as a Service (DBaaS)

SAP HANA Cloud
By SAP
4.3/5
(568)
Product Description
SAP HANA Cloud is the cloud-native data foundation of SAP Business Technology Platform, it stores, processes and analyzes data in real time at petabyte scale and converges multiple data types in a single system while managing it more efficiently with integrated multitier storage.
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Categories in common with IBM Compose for Elasticsearch:
Database as a Service (DBaaS)

MongoDB
By MongoDB
4.5/5
(539)
Product Description
MongoDB Atlas is a developer data platform that provides a tightly integrated collection of data and application infrastructure building blocks to enable enterprises to quickly deploy bespoke architectures to address any application need. Atlas supports transactional, full-text search, vector search, time series and stream processing application use cases across mobile, distributed, event-driven, and serverless architectures.
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Categories in common with IBM Compose for Elasticsearch:
Document Databases

Amazon Aurora
By Amazon Web Services (AWS)
4.5/5
(453)
Product Description
Amazon Aurora is a MySQL and PostgreSQL-compatible relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases.
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Categories in common with IBM Compose for Elasticsearch:
Database as a Service (DBaaS)

SAP Business Technology Platform
By SAP
4.4/5
(393)
Product Description
SAP Business Technology Platform (SAP BTP is a comprehensive, multi-cloud platform designed to integrate, automate, extend, and develop AI-powered business applications and processes across enterprises. It empowers organizations to unlock the full potential of their data and applications, facilitating seamless connectivity between SAP and non-SAP systems. By leveraging SAP BTP, businesses can accelerate innovation, enhance operational efficiency, and drive digital transformation. Key Features and Functionality: - Integration: SAP BTP enables the seamless connection of systems and processes across the enterprise, reducing development effort and accelerating time to value with prebuilt integrations and workflows. - Application Development and Automation: The platform supports the creation and extension of business applications using low-code, pro-code, and generative AI tools, allowing for rapid development and automation of processes. - Data and Analytics: SAP BTP provides robust data management and analytics capabilities, enabling organizations to integrate with SAP Business Data Cloud to build smarter applications and develop reliable AI solutions grounded in up-to-date business context. - Artificial Intelligence: The platform offers AI capabilities specialized in automating and extending mission-critical business processes, allowing businesses to innovate and accelerate with AI. Primary Value and Solutions Provided: SAP BTP addresses the challenges of integrating disparate systems, developing custom applications, and harnessing data for informed decision-making. By providing a unified platform that combines integration, application development, data management, and AI, SAP BTP enables organizations to: - Accelerate Digital Transformation: By integrating and extending business applications faster, organizations can streamline operations and adapt to changing market demands. - Enhance Decision-Making: With comprehensive data and analytics capabilities, businesses can gain real-time insights, leading to more informed and strategic decisions. - Drive Innovation: The platform's AI and automation tools empower organizations to innovate by developing intelligent applications and automating complex processes, thereby increasing efficiency and reducing manual effort. In summary, SAP Business Technology Platform serves as a foundational element for enterprises aiming to integrate their systems, develop and extend applications, manage data effectively, and leverage AI to drive innovation and operational excellence.
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Categories in common with IBM Compose for Elasticsearch:
Database as a Service (DBaaS)

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