Research > Market Forecast: Multimodel Data Platform, 2026-2030, Worldwide
14.06.2025
Domain:Data, Analytics & AI
Sub Domain:Data Management & Integration
Price:$ 3,900
Market Forecast: Multimodel Data Platform, 2026-2030, Worldwide
Report Description:
Quadrant Knowledge Solutions Reveals that Multimodel Data Platform Projected to Register a CAGR of 11.56% by 2028.
A Multimodel Data Platform is a unified database system that supports multiple data types and models such as documents, graphs, and relational data models on the same data in real-time or close to real-time in a single integrated system. Instead of focusing on a specific data model, multimodal databases enable users to engage with various data models according to specific use cases.
A multi-model data platform enables organizations to support various data models, necessitating diverse data representations, query languages, and containerized instances for management. It allows storage of structured, semi-structured, and unstructured data types in a single database, supporting multiple use cases without data movement or duplication. Multimodel data solution enhances agility, reduces costs, eliminates data silos, and maintains efficiency and user-friendliness, effectively addressing complex requirements in data management.
Key questions this study will answer:
Strategic Market Direction:
With the proliferation of data from different sources such as social media, IoT devices, sensors, etc., organizations need a platform that can handle and analyze diverse data types efficiently. Organizations require a system or framework that can handle and process various types of data, such as graphs, text, images, audio, video, and structured data, among others. Organizations leverage multimodel data platforms to provide support for new types of data emerging by constructing a flexible platform that can adapt and accommodate these changes without requiring significant redevelopment.
Organizations focus on handling structured, unstructured, semi-structured, geospatial, time-series, graph, AI/ML workloads, scalability, and interoperability of the multimodel data platform to implement support for multiple data types. The multimodel data platform also supports automating the process of data ingestion, integration, storage, processing, and accessibility to enhance the productivity of developers and data engineers.
Vendors Covered:
ArangoDB, Couchbase, DataStax, EDB, IBM, InterSystems, MariaDB, MarkLogic, Microsoft, MongoDB, Neo4j, Oracle, Redis, SAP, and SingleStore.
Table of Content:
Chapter 01: Executive Summary
Chapter 02: Market Overview
Chapter 04: Market Forecast Analysis
Chapter 05: Company Profile
Chapter 06: Appendix
List of Figures
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Authors
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