Data is everything!
Many companies these days are using big data analytics tools in order to forecast and assess the behavior of their users. This helps them in making profitable decisions for their businesses.
In this article, we will be listing down the 7 Best Big Data Analytics Software and Tools that are great for analyzing data.
Best Data Analytics Tools & Software
1. Tableau
Tableau is a powerful tool for data analytics.
There is a slight learning curve to learn this platform, but it’s definitely worth it once you do that.
Tableau has been around for a long time and it is continuing to grow every day.
Due to its user-friendly interface and plenty of features, Tableau is highly capable of working with a larger quantity of data.
You will get configurable dashboards. You can also see the real-time data in visual forms for better data analysis.
All in all, a fantastic match for businesses of all sizes, from major corporations to small businesses.
Pros of Tableau
- Plenty of options to visualize the data.
- You can share interactive data visualizations for free on the internet.
- You can easily connect to the most used databases.
- Data searches that don’t need any coding.
- The dashboards you will get inside are mobile-friendly and interactive.
Cons of Tableau
- Tableau does not have a feature that allows you to schedule reports automatically. As a result, anytime a user needs to change data at the back end, some manual effort is always necessary.
- If the Tableau developer’s screen resolution differs from the users’ screen resolution, the dashboard layout is distributed.
2. Splunk
Splunk is a valuable tool for a variety of users. It can manage data from small, medium, and big businesses, as well as government agencies and organizations. A single user license covers 1,000 to 4,999 users and may be used on-premises, on mobile devices, or in the cloud!
This technology can gather data and then index it, allowing you to search and sort it. It can also analyze and report data, and it has some stunning visual reporting capabilities.
Because of the real-time monitoring functionality, it will immediately detect any abnormal data patterns and notify you.
It also allows you to customize your interface, making it much easier to use. At any time, you may see all of your most commonly used tools right in front of you.
Pros of Splunk
- Adaptable to meet the demands of every company.
- All data is monitored in real-time.
- Analysis and reporting in a visual format
- User interfaces that may be customized.
Cons of Splunk
- It might be tough to duplicate dashboards for multiple locations.
- High costs.
3. Talend
Talend is an open-source software platform that specializes in data integration and management. Talend is an expert in large data integration. Cloud, big data, enterprise application integration, and master data management are all elements of this solution.
It also offers a centralized repository for storing and reusing Metadata.
It comes in both an open-source and a paid version. It’s one of the greatest cloud computing and big data integration technologies available.
Pros of Talend
- Multiple data sources can be handled easily.
- ETL and ELT for massive data consumption are simplified.
- As it has numerous connections on a single platform, it may provide bespoke solutions.
- It can handle the same amount of speed and scale as Spark.
Cons of Talend
- Level of community support is not limited.
- A little less user-friendly UI.
- Adding a custom component to the palette is difficult.
4. Cassandra
Apache Cassandra is a highly scalable, high-performance distributed database that can manage massive volumes of data over a large number of commodity computers while maintaining high availability and avoiding single points of failure. It’s a NoSQL database type.
It is a free tool. To communicate with its database, it has its own CQL (Cassandra Structure Language).
This tool is used by Facebook, American Express, Yahoo, General Electric, and Honeywell.
Pros of Cassandra
- It’s free and open-source.
- There is no single point of failure since it is built on a peer-to-peer design rather than a master-slave architecture.
- It can be scaled up or down.
- Can handle huge amounts of data with ease.
- It provides data replication, making it fault-tolerant and therefore has high availability.
Cons of Cassandra
- Scalability is a challenge.
- The efficiency of aggregation functions is inadequate.
5. Splice Machine
It is one of the big data analytics tools. Their design is adaptable to AWS, Azure, and Google public clouds. It’s a big data analytics platform that can grow dynamically from a few to thousands of nodes to support applications of various sizes.
Pros of Splice Machine
- You may combine analytics and machine learning with Splice Machine.
- ETL latency and infrastructure expenses are reduced.
6. Xplenty
Xplenty is a cloud-based ETL system that provides easy-to-understand data pipelines for automated data flows from a variety of sources and destinations. Clean, normalize, and convert data while conforming to compliance best practices using Xplenty’s robust on-platform transformation capabilities.
Pros of Xplenty
- On-platform data transformation solution that is powerful and code-free.
- You can pull data from any source with a Rest API using the Rest API connector.
- Easily send data to databases, data warehouses, and Salesforce, among other destinations.
- Data encryption and masking at the field level to fulfill regulatory standards.
- Rest API – use the Xplenty API to do whatever you can on the Xplenty UI.
- A customer-centric firm with world-class service.
Cons of Xplenty
- Debugging errors in complex Xplenty flows might be tricky.
7. Plotly
Plotly is a large data analysis tool that allows users to create and share charts and dashboards online.
Plotly provides individuals and groups with online graphing, analytics, and statistics tools, as well as scientific graphing libraries for Python, R, MATLAB, Perl, Julia, Arduino, and REST.
Pros of Plotly
- Turn any data into visually appealing and useful visualizations with ease.
- It delivers good data provenance information to audited industries.
- Plotly’s free community plan includes unlimited public file hosting.
Cons of Plotly
- You will need an API key and registration rather than just a pip install.
So this ends our list of best big data analytics platforms and companies.
