Apache Zeppelin vs Sympli: What are the differences?

Introduction

Apache Zeppelin and Sympli are both popular tools for data visualization and analytics, but they differ in several key aspects.

1. Supported Languages: Apache Zeppelin supports a wide range of languages including Python, SQL, Scala, and R, making it versatile for different use cases. On the other hand, Sympli primarily focuses on Python and SQL, limiting the choice of languages for data analysis and visualization.

2. Collaboration Features: Apache Zeppelin offers robust collaboration features such as real-time collaboration, notebook sharing, and simultaneous editing by multiple users. In contrast, Sympli lacks extensive collaboration tools, making it less ideal for team-based projects.

3. Integration with Big Data Ecosystem: Apache Zeppelin seamlessly integrates with various big data technologies such as Apache Spark, Apache Flink, and Apache Hadoop, allowing users to leverage the full potential of these systems. Sympli does not have as strong integration with the big data ecosystem, limiting its capabilities when dealing with large datasets and complex analytics tasks.

4. Custom Visualization Options: Apache Zeppelin provides a wide range of customizable visualization options and libraries, enabling users to create rich and interactive visualizations. Sympli, while offering visualizations, may not have the same level of customization and variety compared to Zeppelin.

5. Security and Authentication: Apache Zeppelin offers robust security features such as LDAP integration, role-based access control, and encryption of sensitive data. In comparison, Sympli may not have as advanced security and authentication mechanisms in place, posing potential risks for sensitive data handling.

6. Scalability and Performance: Apache Zeppelin is known for its scalability and performance, able to handle large datasets and complex computations efficiently. Sympli, while capable of handling moderate-sized datasets, may face limitations in terms of scalability and performance when dealing with extremely large datasets or high computational requirements.

In Summary, Apache Zeppelin and Sympli differ in terms of language support, collaboration features, integration with big data technologies, visualization options, security, and scalability/performance.