Data Management: IoT Stream Processing and Streaming Analytics Competitive Ranking
Price:
Starting at USD 4,500
Publish Date: 27 Dec 2020
Code: CA-1302
Research Type: Competitive Ranking
Pages: 49
RELATED SERVICE:
IoT Networks & Platforms
Actionable Benefits
- Compare the products and services, and IoT data processing and streaming analytics offered by IoT vendors (Hazelcast, ScaleOut Software, Guavus SQL Streams, StreamSet, StreamAnalytix, KX Technology, Striim).
- Evaluate how sophisticated vendors’ ingestion and analytics offerings are.
- Comparative analysis of which vendors have the scale and partner network to support enterprises globally.
- Identify current and future trends in IoT data management for the IoT, with revenue forecasts from 2018 until 2026 for integration, stream processing and streaming analytics markets.
Research Highlights
- Identify which vendors are considered Leaders, Mainstream providers or Followers.
- Understand whether leading vendors stand out for their innovative solution, implementation strategy or both.
- In-depth technical and commercial profiling of IoT streaming and data management vendors and comparison of overall IoT-data enabled capabilities.
Critical Questions Answered
- Which vendor came out on top using ABI Research’s proven, unbiased innovation/implementation criteria framework?
- Which vendor is offering IoT Enterprises the most innovation solution(s) when it comes to data management solutions?
- Which vendor is the most advanced when it comes to an implementation strategy for their solution(s)?
Who Should Read This?
- Invitational investors looking for technical and commercial information on IoT vendors for further M&A strategic planning.
- Product Managers at analytics providers looking to benchmark their solution(s) or examine competitors.
- IoT Big Data vendors and software developers for IoT analytics, who needs to understand the market dynamics and identify differentiation point among competitors.
- Industrial players, who intend/ongoing the IoT digital transformation, to understand data management offerings, strengths and avoid vendors lock-in.