The quantity of data generated regularly is exceptionally overwhelming. The overloaded generation makes it quintessential for techies to manage it with efficiency in order to process them well and avail the perks of great insights.
This urges for the development of Big Data platforms that can handle overloaded data and prosper in such competitive time.
Here is a list of top 10 big data platforms flourishing with a great amount of data generated on a daily basis.
Sumo Logic’s office is located in Redwood City, California.
Sumo Logic is a cloud-native platform which offers apps like Airbnb and Pokemon GO. Using the ML drawing, it troubleshoots, tracks business analytics and identifies security breaches to maximize efficiency. Additionally, the platform is flexible and able to handle sudden data influxes.
The platform has the vision to put the power of machine data analytics in the hands of everyone by unifying all data types, enabling universal access and leveraging cloud economics – all from a single, unified platform delivered and consumed as a service.
Azure is an ever-expanding set of cloud computing services to help your organization meet its business challenges. With Azure, people’s business or organization has the freedom to build, manage and deploy applications on a massive, global network using their preferred tools and frameworks.
With the usage of Microsoft Azure, users can analyze data stored on Microsoft’s Cloud platform, with a broad spectrum of open-source Apache technologies, including Hadoop and Spark. The platform also features a native analytics tool, HDInsight, that organizes data cluster analysis and further integrates well with other data tools of Azure.
The team of Cloudera believes that data can make what is impossible today, possible tomorrow. The platform empowers people to transform complex data into clear and actionable insights. To that end, Cloudera delivers an Enterprise Data Cloud for any data, anywhere, from the Edge to AI. Powered by the relentless innovation of the open source community, Cloudera accelerates digital transformation for the world’s largest enterprises.
Underpinned with Apache’s Hadoop, Cloudera can manage huge sets of data. Clients store over 50 petabytes in Cloudera’s Data Warehouse on a regular basis and this can manage data including machine logs, text, and more. Additionally, Cloudera’s DataFlow—previously Hortonworks’ DataFlow—analyzes and prioritizes data in real-time.
SHYFT is the leading analytics platform for life sciences with products designed specifically for the unique needs of the pharmaceutical, biotech, and medical device industries. SHYFT’s Data Analytics Platform is the most efficient and scalable way to transform massive amounts of complex healthcare data into on-demand clinical and commercial insight.
The company designed its data analytics platform keeping life science industries in mind. HIPAA and PII compliant tool automatically locate, import and executes analytics on various data streams in order to maintain the privacy. Users can also avail the benefits of Shyft’s data visualization solution to unveiling unexpected correlations between datasets.
Google Cloud Platform is a set of public cloud computing services offered by tech-giant Google. It includes an array of hosted services for computing, storage and application development having the ability to run on Google hardware. Also, its services can be accessed by software developers, cloud administrators and other enterprise IT professionals over the public internet.
Further, it offers numbers of big data management tools having their own specialty.
BigQuery warehouses petabytes of data in an easily queried format. Additionally, Cloud Dataflow analyzes ongoing data streams and sets of historical data side by side.
Also, with Google Data Studio, clients can turn varied data into custom graphics.
Sisense is a platform which is obsessed with the success of its customers as it fuels every decision the team makes. That is why Sisense has embraced a people-first culture that encourages everyone at the company to drive change on the customer’s behalf.
The data analytics platform of Sisense swiftly processes data with the assistance of its signature In-Chip Technology. The Sisense interface enables client build, use and embed custom dashboards and analytics apps. The recent merger of Sisense with Periscope Data allows users to simultaneously groom data repositories with SQL, Python, and R.
Collibra is a cross-organizational data governance platform that delivers openness and freedom. It breaks down traditional data silos and opens up organizational data so all users can find the data they need, collaborate on it, and easily understand its meaning. Most of all, Collibra enables all data citizens to trust the data. Trust in the data is what unlocks its full potential to drive competitive advantage.
The platform is designed to accommodate needs of banking, healthcare and other data-heavy fields, and enables employees company-wide to find a quality, relevant data. It’s a versatile platform that features semantic search. Semantic search can discover more relevant results by unravelling contextual meanings and pronoun referents in search phrases.
Talend is an open source software integration platform enabling customers to effortlessly turn their data into business insights. The demand for Talend is growing rapidly, with excessive data generation on a daily basis, in the market.
The set of three Talend’s big data integration platforms includes – i) free basic platform, ii) two paid subscription platforms and iii) all rooted in open-source tools like Apache Spark.
The paid platforms of Talend are wrapped with more power and fortified by tech support. Both the platforms are capable of cleaning and parsing data, deleting repetitive data and identify fraud automatically.
Tableau is the most powerful, secure, and flexible end-to-end analytics platform for the data which can handle from connections to collaboration string. The platform tends to elevate its users with the power of data. It is designed for the individual but scaled for the enterprise. Tableau is the only business intelligence platform that turns the data into insights that drive action.
The Tableau platform is available on both on-premises or in the Cloud. It enables users to discover correlations, trends and unexpected interdependences between datasets. Additionally, the Data Management feature enhances the platform and allows for more granular data cataloging and the tracking of data.
The MapR Data Platform delivers Dataware for AI and analytics. Dataware effectively handles the diversity of data types, data access, and ecosystem tools needed to manage data as an enterprise resource regardless of the underlying infrastructure or location.
With the MapR Data Platform, users can store, manage, process, and analyze all data including files, tables, and streams from operational, historical, and real-time data sources with mission-critical reliability to meet production SLAs.
MapR offers a core set of data services to ensure exabyte scale and high performance while providing unmatched data protection, disaster recovery, security, and management services. Open APIs and support for containerization ensure broad distributed application access and seamless application portability. The MapR Data Platform runs on commodity hardware across on-premises, cloud, and edge deployments.