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Top 5 Tools for Data Engineers


POSTGRESQL is the most popular open-source relational database in the world. One of the many reasons for POSTGRESQL ‘s popularity is its active open-source community. It is also not a company-led open-source tool like DBMS or MySQL.


MongoDB is a popular NoSQL database. It’s easy to use, highly flexible and can store and query both structured and unstructured data at a high scale. Classified as a NoSQL database program, MongoDB uses JSON-like documents with optional schemas. MongoDB is developed by MongoDB Inc. and licensed under the Server Side Public License.

Apache Spark

Business today understand the importance of capturing data and making it available within the organization quickly. Apache Spark is a unified analytics engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Spark provides an interface for programming entire clusters with implicit data parallelism and fault tolerance.

Apache KAFKA

Similar to Apache Spark, Apache Kafka is also an opensource event streaming platform with multiple applications such as data synchronization, messaging, real-time data streaming and more. It is used by thousands of companies for high-performance data pipelines, streaming analytics. It was developed by the Apache Software Foundation written in Scala and Java. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds

Snow Flake

Snowflake is a popular cloud based data warehousing platform that offers businesses separate storage and compute options , support for third party tools, data cloning and much more. It is the only data platform built for the cloud for all your data and all your users. Mobilize your data to advance your business.

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