50 Big Data Platforms and Analysis Software for Video Analysis

What Is Bigdata? 

It is all about the collection of data. It’s used since the 1990s. It requires a set of techniques and technologies with new forms of integration. Bigdata usually includes data sets to capture commonly used for software tools.

About Bigdata Platforms and Analysis Software 

These provide a platform for providing analytics for extremely large data sets. It is for better providing better quality information. We have 3vs i.e., volume, variety and velocity.

1. IBM Bigdata:

IBM big data analytics consists of infosphere streams, IBM Watson explorer, IBM pure data, IBM smart analytics system, infosphere master data management.

2. HP Bigdata:

It includes HP’s haven and HP Vertica. Where HP haven it has both software and hardware services. Whereas, HP Vertica to for storage purposes.

3. SAP Bigdata:

SAP big database includes memory platforms like SAP HANA, SAP IQ. It is column orientation, grid view. SAP Hana is an in-memory database. It is for performing real-time analytics and developing the real-time applications. The sap is also known SAP Sybase Io and Sybase.

4. Microsoft Bigdata:

Microsoft database is a platform which is an open and flexible cloud.which is used for a quick application.

5. Oracle Bigdata analytics:

It is a high performance and secure thing for running diverse workloads on Hadoop and NoSQL. It reduces the cost and complexity of its infrastructures.

6. Takend Studio:

It is set of open source products for developing, testing, managing the data management and its applications.

7. Teradata Bigdata Analytics:

It unleashes the potential of great companies. It is a high-performance database. It is a UDA structured and multi-structured analytics.

8. SAS Bigdata Analytics:

It includes credits scoring for all SAS big data.

9. Dell Bigdata:

It is for integrating information of modeling and visualization capabilities in big data.

10. HPCC Systems Bigdata:

It provides highly concurrent and low latency real-time query capability.

11. Palantir Bigdata:

It includes Palantir Gotham to secure, manage and analyze all the data.

12. Pivotal Big Data:

Helps to discover insight from all the data to build applications to store, manage and secure.

13. Google BigQuery:

It is a web service which helps companies to analyze massive datasets.

14. Entaho Big Data Analytics:

It gives a comprehensive and a specified solution.

15. Amazon Web Service:

It provides cloud-based analysis to help us to process and analyze the data.

16. Cloudera Enterprise Bigdata:

It includes cd, the open source Hadoop-based platforms.

17. Hortonworks Data Platforms:

It is multi work load data processing across an array of processing methods.

18. Fico Bigdata base Analytics:

It comprehensive big data analytics software solutions.

19. Cisco Bigdata:

It is used for their personal chats or inner communication.

20. Splunk Big Data Base:

For computing, storages, connectivity and unified management capabilities.

21. Fusion –Io Bigdata:

It eliminates the random workload performance deficiencies.

22. Intel Bigdata:

It includes technology products such as Intel xenon processors.

23. Mu-Sigma Database:

The data science includes muxo, muhpc, and mutext.

24. Microstrategy Bigdata:

Also called prime. this provides visualization and dashboarding engine with the in-memory data store.

25. Opera Big Data:

Flows from both inside and outside the enterprise.

26. Redhat Big Data:

It runs on Linux which is the leading platform for big data deployments.

27. Informatica Big Data:

It provides a safe efficient way to integrate all types of the data base.

28. MarkLogic Data Base:

It brings all features into unified systems.

29. VMWARE Database:

It is a robust, high-performance virtualization layer.

30. Syncsort Big Data:

It helps for the challenging of collecting, processing and integrating the data.

31. SGI Data Base:

For cluster installation.

32. Mongo Bigdata:

It empowers business to be more scalable and agile.

33. Guavus Bigdata:

It is capable of creating actionable information from widely distributed, high volume data in real time.

34. Alteryx BD:

Integrating and cleaning of sources are done here.

35. 1010data Advanced Analytics:

It has advanced, built-in analytic functions.

36. ACTION Bigdata:

It delivers the next generation analytics in three editions.

37. MAPR:

For reliably store and process big data.

38. Tableau Software Bigdata:

Connects the data anytime anywhere.

39. Qlikview Bd:

It gives two ways to approach both the deliver and same time great user experience.

40. Antivirus Bigdata:

It combines big data and big content.

41. Datastax Bigdata:

It gives what internet enterprises need to experience today

42. Good Data:

To collect, store and analyze

43. Google DB:

Analyze data for entire web

44. Datameer:

department specific deployments

45. Csc Bigdata:

To get the data much quickly

46. Flytxt Bigdata:

For fast and big data.

47. Amdocs Insight Bigdata Analytics:

For new revenues, user experience

48. Cisco Bigdata:

Integrated infrastructures, big data ECP system.

49. Platform:

For existing data ecosystems, hardware and bi tools.

50. GE Bigdata:

optimize entire operational environments.

Bigdata for video analysis is done for the storage of the videos or the collection of the previous or past videos.

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