7 tools the modern data team needs to know about

Here are the tools every forward-thinking data team should have on their radar.

November 14, 2023
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7 tools the modern data team needs to know about

In the vast expanse of available tools, navigating through them can be like taking a plunge into the tool-filled abyss, especially for fast-moving agile teams who want to get things done. No beating around the bush – let's get straight to it.

Cube - The Semantic layer for every data app

A universal semantic layer, simplifying the connection of data silos, creation of consistent metrics, and accessibility to any data experience required by your business or customers. Data engineers and application developers can leverage Cube’s developer-friendly platform to organize data from cloud data warehouses into centralized, consistent definitions, delivered to downstream tools via APIs.

https://cube.dev/

Elementary Data - dbtnative data observability

A open-source data observability solution designed for dbt™ users, offering features such as data lineage, anomaly detection, and pipeline performance reporting. Integrated into the dbt workflow, along with Slack for messaging and alerts, and Github Actions for automated command run CI/CD. You can set it up in only minutes and gain immediate visibility, detect data issues, send actionable alerts, and understand impact and root cause.

https://www.elementary-data.com/

HEX - Magic tools for working with data

Hex provides a collaborative workspace for analytics and data science. t has a powerful notebook UI that lets you mix no-code, SQL, and Python, and makes it easy to turn the result into an interactive data app anyone can use. Boasting a generative AI feature called Hex Magic, users can now also interact with the data using plain language, asking questions or assigning tasks like auto-completing joins.

https://hex.tech/

Langchain - LLM application from prototype to production

Langchain transforms your LLM application from prototype to production seamlessly. This open-source framework empowers software developers working with artificial intelligence and machine learning to integrate large language models with other external components, crafting powerful LLM-powered applications.

https://www.langchain.com/

MotherDuck - Teach your duckDB to fly

A serverless DuckDB solution in the cloud with managed storage, data sharing, an interactive SQL IDE, and a growing array of features. Positioned as a collaborative analytics platform, MotherDuck facilitates hybrid execution between cloud-stored data. Recently securing $52.5 million in a Series B round, MotherDuck has emerged as a formidable tool in the analytics sphere. Read more about the MotherDuck x Paradime team-up here.

https://motherduck.com/

Vizzly - Customer-Facing Analytics for Modern SaaS

A low-code solution for building customer-facing dashboards, offering a level of flexibility comparable to in-house development processes with minimal technical overhead. With Vizzly, you have the capability to create anything from a straightforward dashboard for your SaaS application to a highly robust analytics experience. Vizzly empowers end-users to customize their own views and generate reports seamlessly.

https://www.vizzly.co/

Paradime - The dbt™ native workspace for analytics teams

Paradime is building the most user-centric, feature-complete analytics development experience on the market with our dbt™ native workspace. . The platform streamlines every aspect of the development cycle for analytics teams, from data exploration and dbt™ development to deploying dbt™ models in production. With over 40+ integrations, Paradime reduces tool fatigue, enabling teams to move faster and more accurately.

Get started with Paradime in just minutes.

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