巨量資料的領導者:GridGain, Lattice Engine, Origami Logic, Rainstor 及 Sumo Logic

本報告提供雖然小規模並不那麼有名，但有創新的解決方案而極有前途的企業，各公司的企業概要、服務分析、策略與計劃、M&A、聯盟、主要的獲得契約等相關分析。

第1章 巨量資料的龍頭

第2章 LATTICE ENGINE

• 概要
• 巨量資料的龍頭
• 策略 & 計劃
• 聯盟 & 聯盟
• 主要的獲得契約
• 分析、結論

第3章 RAINSTOR

第4章 SUMO LOGIC

第5章 ORIGAMI LOGIC

第6章 GRIDGAIN

圖表

Overview:

Data that is uncorrelated and does not have a pre-defined data model and is not organized in a pre-defined manner requires special handling and analytics techniques. The common industry term, Big Data, represents unstructured data sets that are large, complex, and prohibitively difficult to process using traditional management tools.

In previous Leading Big Data Companies reports, Mind Commerce has covered larger, more well-known and evaluated Big Data companies. In this edition of Big Data Leader research, Mind Commerce evaluates smaller, less-known companies that have innovative solutions and great promise to solve the many challenges presented by huge datasets and generate information/insights from them with minimal delay time (sometimes in real-time).

Companies evaluated in this report^* includes:

• GridGain
• Lattice Engine
• Origami Logic
• Rainstor
• Sumo Logic

For each company evaluated in this report we include the following:

• Company Overview
• Offering Analysis
• Strategies and Plans
• Mergers and Acquisitions
• Partnerships and Alliances
• Key Contract Wins Assessment
• Analysis and Conclusions

^*Note: Mind Commerce plans to evaluate additional companies in Big Data (look for similar reports).

All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.

Table of Contents

1. BIG DATA LEADERSHIP

2. LATTICE ENGINE

• 2.1. OVERVIEW
• 2.2. BIG DATA LEADERSHIP
• 2.3. STRATEGIES & PLANS
• 2.4. PARTNERSHIPS & ALLIANCES
• 2.5. KEY CONTRACT WINS
• 2.6. ANALYSIS AND CONCLUSION

3. RAINSTOR

• 3.1. OVERVIEW
• 3.2. BIG DATA LEADERSHIP
• 3.3. STRATEGIES AND PLANS
• 3.4. PARTNERSHIPS & ALLIANCES
• 3.5. KEY CONTRACT WINS
• 3.6. ANALYSIS AND CONCLUSION

4. SUMO LOGIC

• 4.1. OVERVIEW
• 4.2. BIG DATA LEADERSHIP
• 4.3. STRATEGIES AND PLANS
• 4.4. PARTNERSHIPS & ALLIANCES
• 4.5. KEY CONTRACT WINS
• 4.6. ANALYSIS AND CONCLUSION

5. ORIGAMI LOGIC

• 5.1. OVERVIEW
• 5.2. BIG DATA LEADERSHIP
• 5.3. STRATEGIES AND PLANS
• 5.4. KEY CONTRACT WINS
• 5.5. ANALYSIS AND CONCLUSION

6. GRIDGAIN

• 6.1. OVERVIEW
• 6.2. BIG DATA LEADERSHIP
• 6.3. STRATEGIES AND PLANS
• 6.4. PARTNERSHIPS & ALLIANCES
• 6.5. KEY CONTRACT WINS
• 6.6. ANALYSIS AND CONCLUSION

FIGURES

• FIGURE 1: RAINSTOR ARCHITECTURE OVERVIEW
• FIGURE 2: RAINSTOR SOLUTION OFFERINGS
• FIGURE 3: STAGES INVOLVED IN DATA COLLECTION BY SUMO LOGIC
• FIGURE 4: GRIDGAIN - PRODUCTS AND SOLUTIONS OFFERINGS
• FIGURE 5: GRIDGAIN IN-MEMORY DATA FABRIC ARCHITECTURE

TABLES

• TABLE 1: LATTICE ENGINE - RECENT PARTNERSHIPS & ALLIANCES
• TABLE 2: LATTICE ENGINE - CONTRACT WINS, 2012-2014
• TABLE 3: RAINSTOR - RECENT PARTNERSHIPS & ALLIANCES
• TABLE 4: SUMO LOGIC SOLUTION OFFERINGS
• TABLE 5: SUMO LOGIC -RECENT PARTNERSHIPS & ALLIANCES