GoodData and Looker are both big names in the field of business intelligence and analytics, which are essential for modern businesses that want to make choices based on data in an environment that is becoming more complex and competitive. GoodData is a well-known cloud-based tool that helps businesses turn data into insights that they can act on. It lets businesses collect, process, and analyse data from many different sources, so they can make quick choices based on good information.
GoodData has an easy-to-use interface and a wide range of visualisation tools, so anyone in the organisation can use it, no matter how skilled they are. It’s important because it can “democratise” data, making it available to more people within a company, fostering a data-driven mindset, and, in the end, making a company more efficient and competitive. On the other hand, Looker is another important player in the world of business data.
It gives users a powerful platform for data exploration and analytics that lets them view, look at, and share insights from their data. Looker’s strength is that it can combine and organise data from different sources into a single source of truth that can be used to make decisions. This ability is very important because it helps organisations break down data walls and makes sure that everyone in the company works with the same, correct information.
GoodData vs Looker Comparison Table
This table shows the main differences between GoodData and Looker, which are both strong data analytics systems. They offer different price plans for data integration, data visualisation, customization, and machine learning.
| Feature | GoodData | Looker |
|---|---|---|
| Deployment | Cloud, On-Premises | Cloud, On-Premises |
| User-Friendly | Yes | Yes |
| Data Integration | Yes | Yes |
| Data Visualization | Yes | Yes |
| Custom Dashboards | Yes | Yes |
| Ad Hoc Reporting | Yes | Yes |
| Data Exploration | Yes | Yes |
| Machine Learning | Yes | Yes |
| Scalability | Yes | Yes |
| Security Features | Yes | Yes |
| Collaboration Tools | Yes | Yes |
| Third-Party Integrations | Yes | Yes |
| Pricing | Custom Quote | Custom Quote |
| Customer Support | 24/7 Support Available | Customer Support Available |
| Visit Website | Visit Website |
GoodData vs Looker: User Interface
When considering GoodData and Looker, the ease of use and user interface are very important. GoodData has a simple, easy-to-use design that makes it easy to explore and analyse data. Its drag-and-drop features and built-in themes make it easy for people without a lot of technical knowledge to use. GoodData makes it easy to make dashboards, so users can easily change them and see their data.
On the other hand, Looker is known for its user-friendly design, which focuses on making the experience as smooth as possible. Its modelling layer makes it easy for users to set up relationships between data, which makes complicated data structures easier to understand. Looker’s screens are interactive and respond to changes in real time. Its “LookML” language makes sure data is consistent and makes it easy to make changes.
Data Visualization and Reporting Capabilities
GoodData and Looker’s ability to visualise and report on data is a key part of how they help organisations turn raw data into useful insights. GoodData has a large set of tools for visualising data, so users can easily make dynamic dashboards, charts, and reports. Its drag-and-drop interface makes it easy to explore data and show it, so people with different levels of technical knowledge can use it. GoodData’s visualisations can be changed in many ways, so businesses can make their reports fit their needs.
On the other hand, Looker does a great job of giving users a data modelling layer that makes it easier to explore and visualise data. It has a large collection of ready-made data visualisations and a tool for making your own dashboards. Looker’s unique LookML language makes it easy to model data and make changes to it. This makes it a good choice for organisations that want to be flexible and in charge of their reports.
GoodData vs Looker: Data Integration and Connectivity
When considering GoodData and Looker, data integration and connectivity are very important. GoodData has powerful data merging tools that let users connect to a wide range of data sources easily. It can connect to data both in the cloud and on-premises, making it easier to combine data from different sources like databases, files, and APIs. GoodData’s ETL (Extract, Transform, Load) features allow users to clean and change data, so they can work with data that is correct and consistent.
On the other hand, Looker is known for its ways to connect to data. It has a wide range of connectors for major data warehouses and cloud-based data storage services. Its LookML modelling language even lets you make custom connections. Looker is a good choice for organisations with complicated data ecosystems because it can connect to many different types of data sources.
GoodData vs Looker: Customization and White-Labeling Options
When comparing GoodData and Looker as business intelligence (BI) solutions, the customization and white-labeling choices are very important. GoodData has a lot of options for customization, so companies can change the platform to fit their branding and workflow needs. It has a lot of white-labeling features that let users show reports and dashboards with their company’s branding on them without any problems.
On the other hand, Looker is also great at being customised. It gives you a lot of ways to change the platform to fit your needs. Users can change how reports, dashboards, and embedded data look and feel, so clients and stakeholders always get the same brand experience.
GoodData vs Looker: Data Security and Compliance
When deciding between GoodData and Looker, data protection and compliance are the most important things to think about. GoodData puts a lot of focus on data security. It has strong features like data encryption in transit and at rest, access controls based on roles, and audit logs. It meets industry standards like GDPR and HIPAA, so it can be used by businesses that deal with private data.
On the other hand, Looker has many security features, such as data encryption, single sign-on (SSO) authentication, and access limits. It works with GDPR and has tools for monitoring and controlling how data is used.
GoodData vs Looker: Integration with Other Tools and Services
Collaboration between GoodData and Looker is crucial for businesses looking to optimize their data-driven operations. With connectors for databases, cloud storage, and third-party apps, among other data sources, GoodData offers a variety of ways to connect. Its open APIs let you connect it to your own tools and make it easy for data to move between systems. GoodData also has strong relationships with some of the biggest tech companies, which helps it integrate with a wider range of business applications.
On the other hand, Looker is known for how easy it is to integrate data. It comes with a lot of pre-built connectors for major databases, data warehouses, and cloud services. This makes it easier to get data in and change it. The modelling layer in Looker lets users build a single view of their data, which makes it easier to connect and analyse data from different sources. Looker also has custom API endpoints that allow connections to be made to fit the needs of each organisation.
GoodData vs Looker: Customer Support and Documentation
When deciding if business intelligence tools like GoodData and Looker are right for you, customer help and documentation are key. GoodData has a responsive and committed customer support team that is known for helping quickly and getting to the bottom of problems. Their extensive online documentation includes detailed guides, tutorials, and frequently asked questions (FAQs), which help users find their way around the site. GoodData also has email support, phone support, and a ticketing system so that people can get help in more than one way.
In the same way, customer service is important to Looker, which has a well-respected support team that helps users quickly. Their documentation is extensive and includes a large knowledge base, thorough documentation, and a busy community forum where users can ask for help and share their own ideas. Looker has different support levels and service agreements that are made to fit the needs of different users. This makes sure that organisations can find the right amount of help for their needs. Both GoodData and Looker know that good customer service and easy-to-find documentation are key to helping users get the most out of their BI tools.
GoodData: Pros and Cons
Pros
- User-friendly interface.
- Advanced machine learning capabilities.
- Scalable for growing businesses.
Cons
- Limited third-party integrations.
Looker: Pros and Cons
Pros
- Strong data exploration and visualization.
- Extensive collaboration tools.
- Good scalability options.
Cons
- Steeper learning curve for beginners.
GoodData vs Looker: which one should you consider?
When deciding between GoodData and Looker, your choice should be based on the goals and preferences of your business. Consider GoodData if you want a system with strong data integration tools, good customer service, and an easy-to-use interface. GoodData is a good choice for businesses that want a data analytics tool that gives them reliable answers right out of the box.
On the other hand, if you need advanced data visualisation, customization, and scale, Looker might be the right choice. The best thing about Looker is how flexible and adaptable it is. This makes it perfect for organisations that want to make highly customised data experiences and look into complex datasets.
FAQs
Any company the size and status of GoodData is under a lot of pressure to get bigger clients and charge more. This means that GoodData is probably not a good choice for small or medium-sized businesses.
Looker is the best choice if your company wants a fast, easy-to-use system with beautiful ways to show data. Tableau is the better BI software if your organisation needs deep data analysis or a cheap plan for a small number of people.
This powerful ETL tool lets marketers get business data from platforms that aren’t owned by Google and put it into reports using the Looker Studio interface.
