Are you looking for an ETL solution that can handle Big Data? Are you having trouble deciding which ETL tool would best meet your needs? If you answered yes, then the questions you have will be answered in this blog. In this blog, you will learn about Big Data, ETL, and the many Big Data ETL products that are now available on the market.
What is Big Data?
Big data is an industry phrase that refers to a significant amount of data that is also complicated. This data may be presented in an organized, semi-structured, or unstructured fashion, depending on your preference. Due to the exponential growth of enormous data, it is almost difficult to handle big data using the approaches that have traditionally been used.
The relational database system is a component of previous approaches; nevertheless, these methods were unsuccessful due to the diversity of the data’s underlying structures. The use of big data enables us to handle data in a variety of forms more efficiently.
What exactly are these ETL Tools?
ETL tools are pieces of software that have been developed to facilitate ETL procedures. These processes include the gathering of data from a variety of sources, checking the data for consistency and quality, and storing the information in data warehouses. ETL Solutionssimplify data management techniques and increase data quality by giving a uniform approach to the ingestion, sharing, and storage of data. If these tools are appropriately deployed, these benefits are realized.
Different kinds of ETL tools
The infrastructure of ETL tools and the organization or vendor that they are supported by may be used to divide these tools into four distinct groups. The ETL tools that fall into these categories might be enterprise-grade, open-source, cloud-based, or bespoke. It’s possible that selecting the right ETL Services for your use case might make or break the project. By using these types of databases and ETL tools, the process of managing data may be simplified, which also increases the quality of the data warehouse. The following is a list of the top ETL tools, both open source and commercial
Hevo
Hevo is a No-code Data Pipeline platform that can assist you in moving data in real time from any source, including databases, cloud applications, software development kits (SDKs), and streaming services. More than 150 pre-built connections with SaaS applications, cloud databases, cloud storage, software development kits (SDKs), and streaming services are supported by the platform. Over one thousand data-driven businesses located in more than 45 countries have placed their faith in Hevo to meet their requirements for data integration. Give Hevo a try right now, and your fully controlled data pipelines will be up and running in a matter of minutes.
Skyvia
Skyvia is a cloud data platform that was created by Devart. It allows for the integration, backup, administration, and access of data without the need for scripting. The Devart firm is a well-known and trustworthy supplier of data access solutions, database tools, development tools, and other software products. The company has over 40 000 appreciative clients and two R&D departments.
Skyvia comes equipped with an ETL solution that can be utilized for a variety of data integration use cases. This solution offers support for CSV files, databases (including SQL Server, Oracle, and PostgreSQL), cloud data warehouses, and numerous cloud applications (including Salesforce, HubSpot, and Dynamics CRM, amongst many others).
Fivetran
By providing a platform that contains a variety of useful tools, Fivetran hopes to make the process of managing your data more convenient for you. The intuitive program remains up to date with API changes and retrieves the most recent data from your database in a matter of minutes.
In addition to offering ETL tools, Fivetran also provides database replication, data protection services, and assistance around the clock.
AWS Glue
The serverless ETL tool known as AWS Glue sorts through your data and performs tasks like as data preparation, data ingestion, data transformation, and the construction of data catalogs.
All of the data integration features that you will want to get started with your data analysis are included by default in AWS Glue.
The Nifi Apache
This was developed with the intention of automating the flow of data across different systems. It is easy and simple to use. The Java Virtual Machine of a host operating system is what Apache Nifi operates on (JVM). Apache NiFi makes it possible to create highly effective and scalable directed graphs of data routing, transformation, and system mediation logic.
Also read: How do I choose the reputed Java web development Company?
