Overview

Apache Drill

Stacks74

Followers171

Votes16

Microsoft SQL Server Management Studio

Stacks503

Followers445

Votes0

Apache Drill vs Microsoft SQL Server Management Studio: What are the differences?

## Introduction
Apache Drill and Microsoft SQL Server Management Studio are two distinct tools used for data querying and analysis. However, they differ in their functionalities and features.

1. **Query Language**:
   Apache Drill uses SQL syntax for querying various types of data sources including relational databases, NoSQL databases, and cloud storage systems without the need for pre-defined schemas, allowing for schema-less queries. On the other hand, Microsoft SQL Server Management Studio primarily focuses on querying traditional SQL Server databases with structured schemas and supports T-SQL queries.

2. **Scalability**:
   Apache Drill is designed for distributed processing and can scale across a large number of nodes, enabling it to handle big data processing and analysis efficiently. In contrast, Microsoft SQL Server Management Studio is more suited for smaller-scale deployments and may face limitations when dealing with extensive amounts of data across multiple nodes.

3. **Compatibility**:
   Apache Drill provides seamless compatibility with a wide range of data sources such as Hadoop, MongoDB, and cloud storage like Amazon S3, making it versatile for querying different types of data sources. Conversely, Microsoft SQL Server Management Studio is primarily intended for SQL Server databases and may have limited compatibility with other non-SQL sources out of the box.

4. **Real-time Data Processing**:
   Apache Drill supports real-time data processing and querying, allowing users to analyze and derive insights from live data streams. In contrast, Microsoft SQL Server Management Studio may have limitations in real-time data processing capabilities and is more suitable for batch processing and scheduled queries.

5. **Community Support**:
   Apache Drill is an open-source project supported by a vibrant community of developers and contributors, providing frequent updates, bug fixes, and enhancements. While Microsoft SQL Server Management Studio benefits from Microsoft's support and updates, the community-driven aspect may lack in comparison to the open-source nature of Apache Drill.

6. **Cost**:
   Apache Drill is free to use as it is an open-source project, making it cost-effective for organizations looking to leverage its querying capabilities. On the other hand, Microsoft SQL Server Management Studio may require licensing fees for certain advanced features and functionalities, potentially adding to the overall cost of using the tool.

In Summary, Apache Drill and Microsoft SQL Server Management Studio differ in their query languages, scalability, compatibility, real-time data processing capabilities, community support, and cost implications.

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Advice on Apache Drill, Microsoft SQL Server Management Studio

Aashwiin

Feb 6, 2020

Needs advice

I am looking to build an azure database that connects to my power bi application. Initially, I attempted to create an Azure SQL database, then realized I needed to have SQL Server Management Service in order to manage and connect between Azure SQL <=> Power BI, but since I am on a Mac, I had to use the complex installation as a workaround.

If MySQL Workbench can solve this (as the product is available on Mac), I am more than happy to proceed with this approach if it can achieve the same goal of connecting an azure database with my Power BI application

What I am trying to achieve is fairly simple: have an online cloud database that connects to my Power BI application

I am open to any other solutions as well

Thank you

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Detailed Comparison

Apache Drill	Microsoft SQL Server Management Studio
Apache Drill is a distributed MPP query layer that supports SQL and alternative query languages against NoSQL and Hadoop data storage systems. It was inspired in part by Google's Dremel.	It is an integrated environment for managing any SQL infrastructure, from SQL Server to Azure SQL Database. It provides tools to configure, monitor, and administer instances of SQL Server and databases. Use it to deploy, monitor, and upgrade the data-tier components used by your applications, as well as build queries and scripts.
Low-latency SQL queries;Dynamic queries on self-describing data in files (such as JSON, Parquet, text) and MapR-DB/HBase tables, without requiring metadata definitions in the Hive metastore.;ANSI SQL;Nested data support;Integration with Apache Hive (queries on Hive tables and views, support for all Hive file formats and Hive UDFs);BI/SQL tool integration using standard JDBC/ODBC drivers	Integrated environment for managing any SQL infrastructure; Configure, monitor, and administer instances of SQL Server and databases; Deploy, monitor, and upgrade the data-tier components used by your applications, and build queries and scripts
Statistics
Stacks 74	Stacks 503
Followers 171	Followers 445
Votes 16	Votes 0
Pros & Cons
Pros 4 NoSQL and Hadoop 3 Lightning speed and simplicity in face of data jungle 3 Free 2 Well documented for fast install 1 V1.10 released - https://drill.apache.org/	No community feedback yet
Integrations
No integrations available	Microsoft SQL Server

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