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.
