Free data manipulation tools

Description: Jitterbit offers cloud data integration and API transformation capabilities. The platform features a graphical interface for guided drag-and-drop configuration, integration via pre-built templates, and the ability to infuse applications with artificial intelligence. Users can run the tool in cloud, hybrid, or on-prem environments, and feed consolidated data to real-time analytics.

Description: Keboola is a cloud-based data integration platform that connects data sources to analytics platforms. It supports the entire data workflow process, from the point of data extraction, preparation, cleansing, warehousing, and all the way to its integration, enrichment, and loading.

Keboola offers more than integrations and features an environment that allows users to build their own data applications or integrations using GitHub and Docker. The product can also automate low-value activities while account for audit trail, version control and access management. Description: Matillion offers data integration software for cloud data warehouses, and was designed for Amazon Redshift, Snowflake, and Google BigQuery. The product works by allowing users to consolidate large data sets and quickly perform data transformations.

It features expert technical support as well, all by Matillion solution architects and comes free of charge. Full support is offered throughout the customer lifecycle, including trial and complex use case development. Matillion includes more than 70 pre-built connectors. Description: Microsoft offers its data integration functionality on-prem and in the cloud via Integration Platform as a Service. Flow is ad hoc integrator-centric and included in the overarching Azure Logic Apps solution. The vendor enables organizations to improve their applications through integration while also providing API connectivity to a wide variety of on-prem and cloud-based applications and systems.

MuleSoft provides both traditional and Integration Platform as a Service products and touts a growing capabilities portfolio. Description: Oracle offers a full spectrum of data integration tools for traditional use cases as well as modern ones, in both on-prem and cloud deployments. Oracle data integration provides pervasive and continuous access to data across heterogeneous systems via bulk data movement, transformation, bidirectional replication, metadata management, data services, and data quality for customer and product domains.

Description: Precisely offers its data integration capabilities via two product families, Precisely Connect and Precisely Ironstream. Syncsort allows users to hasten database queries and applications by putting relational databases to best use. The Intelligent Execution feature dynamically selects the most efficient algorithms based on the data structures and system attributes it encounters at run-time. Description: Qlik offers a range of integration capabilities that span four product lines.

The flagship product is Qlik Replicate, a tool that replicates, synchronizes, distributes, consolidates, and ingests data across major databases, data warehouses, and Hadoop. The portfolio is buoyed by Qlik Compose for data lake and data warehouse automation and Qlik Catalog for enterprise self-service cataloging. Qlik also offers Integration Platform as a Service functionality through its Blendr. Description: SAP provides on-prem and cloud integration functionality through two main channels.

Traditional capabilities are offered through SAP Data Services, a data management platform that provides capabilities for data integration, quality, and cleansing. Description: SAS is the largest independent vendor in the data integration tools market. The provider offers its core capabilities via SAS Data Management, where data integration and quality tools are interwoven. It includes flexible query language support, metadata integration, push-down database processing, and various optimization and performance capabilities.

Selecting the right tool for your business needs has never been this easy:. This section of the blog talks about various tools available in the market that help extract data seamlessly:. Hevo not only loads the data onto the desired Data Warehouse but also enriches the data and transforms it into an analysis-ready form without having to write a single line of code. Its completely automated pipeline offers data to be delivered in real-time without any loss from source to destination.

Its fault-tolerant and scalable architecture ensure that the data is handled in a secure, consistent manner with zero data loss and supports different forms of data. The solutions provided are consistent and work with different BI tools as well. Hevo Data also provides users with a day free trial. Sign up here for a day free trial!

This is a web-based tool that is used for extracting data from websites. It does this by allowing you to convert your unstructured or semi-structured data from web pages into structured forms that can be used for business decisions or integrations with other applications. The pricing model depends on the number of websites and the number of web pages that need to be monitored for the Data Extraction process.

Users that want to use Import. In order to know more about Import. This is a modern visual Web Data Extraction Tool. It is a Cloud-Based web crawler that enables you to easily extract web data without coding. Octoparse has 4 plans that companies can choose- Free, Standard, Professional and Enterprise. This choice depends on the budget of the companies. In order to know more about Octoparse, click this link.

This is a free Web Scrapper that helps you extract data with a few clicks. You can easily turn any site into a spreadsheet or API for subsequent extraction. Similar to Octoparse, Parsehub also has 4 plans companies can choose from- Free, Standard, Professional and Enterprise. In order to know more about Parsehub, click this link. This is a Data Extraction Tool that automatically helps you to extract information from media and online sources, and organize them in a suitable format. In order to know more about OutWitHub, click this link.

This is one of the popular Data Extraction Tools today. It extracts content from websites and can replicate entire website content elsewhere.

Similar to Import. In order to know more about Web Scrapper, click this link. This is an Email Parser tool that allows you to extract data from emails and attachments to automate your workflow. Companies can choose either of the plans based on their budget. In order to know more about Mailparser, click this link. In order to know more about Mozenda, click this link. Talend helps to import data and move it to the data warehouse as quickly as possible.

Talend has a unified platform. Also, the community of Talend is powerful that you will never know that the person on the other side comes from which background. Talend Platforms, Talend enterprise, and Talend Open Studio helps in almost everything related to data that you may not look for another tool once you start working with Talend.

Among the three, the most used is Talend Open Studio. The collaboration and management of Talend are commendable as with their data integration. Qlikview is recommended as the best tool for data visualization. It is faster, easy, and unique in nature. There is a community in QlikView which has discussion forums, blogs, and a library. Community helps to solve most of your queries. It shows the relationship between data using different colors.

Qlikview helps users to make the right decisions from their different approaches to data visualization. If you are interested in layout designing, Qlikview is your way to go. It is good to have knowledge of data modeling and SQL basics to be proficient in Qlikview. The orange toolkit can be used as simple data visualization to complicated machine learning algorithms provided it is open source. It can also be used with the Python library. It is like a canvas where the user places the widgets and workflow is created.

All the data functionalities are done in widgets canvas. Users can explore various visualization techniques available in the tool. There are many add-ons for the Orange tool as it is used in the machine learning algorithm as well. Data mining can also be done in this tool.

H2O helps in finding patterns of data. Its applications are mostly in machine learning and artificial intelligence but it provides really good insights about data. H2O has a built-in function to guess the structure of the incoming data set.