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Top 10 IBM Compose for Elasticsearch Alternatives & Competitors

By IBM
(2)4.5 out of 5

If you are considering IBM Compose for Elasticsearch, you may also want to investigate similar alternatives or competitors to find the best solution. Other important factors to consider when researching alternatives to IBM Compose for Elasticsearch include ease of use and reliability. The best overall IBM Compose for Elasticsearch alternative is Ninox. Other similar apps like IBM Compose for Elasticsearch are Amazon DynamoDB, MongoDB Atlas, Amazon Relational Database Service (RDS), and Oracle Database. IBM Compose for Elasticsearch alternatives can be found in Database as a Service (DBaaS) Providers but may also be in Relational Databases or Document Databases.

Best Paid & Free Alternatives to IBM Compose for Elasticsearch

  • Ninox
  • Amazon DynamoDB
  • MongoDB Atlas

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

Browse options below. Based on reviewer data, you can see how IBM Compose for Elasticsearch stacks up to the competition, check reviews from current & previous users in industries like Information Technology and Services, and find the best product for your business.
    #1
  1. Ninox

    (355)4.7 out of 5
  2. 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.

    Categories in common with IBM Compose for Elasticsearch:
    #2
  3. Amazon DynamoDB

    (617)4.4 out of 5
  4. Nonrelational database for applications that need performance at any scale

    Categories in common with IBM Compose for Elasticsearch:
    #3
  5. MongoDB Atlas

    (360)4.5 out of 5
  6. MongoDB Atlas empowers innovators to create, transform, and disrupt industries by unleashing the power of software and data.

    Categories in common with IBM Compose for Elasticsearch:
    #4
  7. Amazon Relational Database Service (RDS)

    (1,026)4.5 out of 5
  8. 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.

    Categories in common with IBM Compose for Elasticsearch:
    #5
  9. Oracle Database

    (955)4.3 out of 5
  10. Helps customers lower IT costs and deliver a higher quality of service by enabling consolidation onto database clouds.

    Categories in common with IBM Compose for Elasticsearch:
    #6
  11. DigitalOcean

    (633)4.6 out of 5
  12. 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.

    Categories in common with IBM Compose for Elasticsearch:
    #7
  13. MongoDB

    (531)4.5 out of 5
  14. 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.

    Categories in common with IBM Compose for Elasticsearch:
    #8
  15. SAP HANA Cloud

    By SAP
    (512)4.3 out of 5
  16. 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.

    Categories in common with IBM Compose for Elasticsearch:
    #9
  17. Amazon Aurora

    (481)4.5 out of 5
  18. 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.

    Categories in common with IBM Compose for Elasticsearch:
    #10
  19. Google Cloud SQL

    (340)4.5 out of 5
  20. Cloud SQL is a fully managed, relational database service for running PostgreSQL, MySQL and SQL Server workloads. It's an ideal choice if you want to lift & shift an existing database or build a new application in the cloud.

    Categories in common with IBM Compose for Elasticsearch: