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Teammately.ai VS Presto DB

Compare Teammately.ai VS Presto DB and see what are their differences

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Teammately.ai logo Teammately.ai

Teammately is The AI AI-Engineer - the AI Agent for AI Engineers that autonomously builds AI Products, Models and Agents based on LLM, prompt, RAG and ML.

Presto DB logo Presto DB

Distributed SQL Query Engine for Big Data (by Facebook)
  • Teammately.ai Let AI draft AI architecture
    Let AI draft AI architecture //
    2025-01-20
  • Teammately.ai Let AI create input datasets
    Let AI create input datasets //
    2025-01-20
  • Teammately.ai Let AI generate custom metrics
    Let AI generate custom metrics //
    2025-01-20
  • Teammately.ai Let AI judge AI outputs based on AI generated metrics
    Let AI judge AI outputs based on AI generated metrics //
    2025-01-20
  • Teammately.ai Let AI recommend alternative plans
    Let AI recommend alternative plans //
    2025-01-20
  • Teammately.ai Let AI judge final rankings
    Let AI judge final rankings //
    2025-01-20

Teammately is the autonomous AI agent designed for AI engineers to build, evaluate, and refine AI products, models, and agents. It empowers you to define your objectives, and then autonomously iterates using LLMs, prompts, RAG, and ML to achieve results beyond human-level manual iteration. Teammately focuses on a scientific approach to AI development, ensuring quality and reliability through AI-driven testing and evaluation.

  • Presto DB Landing page
    Landing page //
    2023-03-18

Teammately.ai

Website
teammately.ai
$ Details
free
Release Date
2024 September
Startup details
Country
Singapore
Founder(s)
Tom Ohtsuka
Employees
1 - 9
Edit details

Presto DB

Website
prestodb.io
$ Details
Release Date
-
Edit details

Teammately.ai features and specs

  • Autonomous AI Iteration
    The AI AI-Engineer autonomously refines AI products, models, and agents towards your objectives.
  • Objective-Driven Development
    Aligns AI development with your goals from the outset using PRDs.
  • AI-Powered Evaluation
    Automatically evaluates AI with synthesized datasets and a tailored LLM-as-a-judge for comprehensive quality assurance.
  • Analysis of Evaluated Results
    AI analyzes evaluation results and proposes solutions for optimization.
  • Focus on Scientific AI Building
    Employs a rigorous, data-driven approach to AI development.

Presto DB features and specs

  • High-Performance Query Engine
    Presto is designed for high-performance querying, capable of performing complex analytics and large-scale data processing at interactive speeds.
  • Distributed SQL Query Engine
    Presto can scale out to large clusters of machines, allowing for efficient distribution of queries over multiple servers to handle big data workloads.
  • Versatility
    Supports querying data from multiple data sources such as Hadoop, relational databases, NoSQL databases, and cloud object storage within a single query.
  • ANSI-SQL Compatibility
    Presto supports ANSI SQL, making it easier for users familiar with SQL to adapt and write queries without a steep learning curve.
  • Open Source
    Presto is an open-source project, which means it benefits from continuous community contributions and improvements, keeping it up-to-date and robust.
  • Extensible
    Presto's architecture is designed to be extensible, allowing users to add custom functions and connectors, tailored to specific needs.

Possible disadvantages of Presto DB

  • Resource Intensive
    High performance comes with significant resource requirements, necessitating robust infrastructure to realize its full potential.
  • Complex Configuration
    Setting up and configuring Presto can be complex and time-consuming, often requiring expertise and an understanding of its various components.
  • Limited Support for Transactions
    Presto is primarily designed for reading data and performing analytics, and it has limited support for transactional processing compared to traditional relational databases.
  • Community Support
    While it has a vibrant open-source community, users may find the support less comprehensive than that provided by commercial enterprise solutions.
  • Latency for Small Queries
    Designed for big data and complex queries, Presto may exhibit higher latency for small, simple queries compared to specialized databases optimized for such use cases.
  • Maintenance Overhead
    Managing and maintaining a Presto cluster can be labor-intensive, requiring ongoing tuning and maintenance to ensure optimal performance and reliability.

Analysis of Presto DB

Overall verdict

  • PrestoDB is considered a strong choice for organizations needing to perform fast and complex analytic queries. Its ability to execute SQL queries on big data at lightning speeds makes it an attractive tool for data-driven organizations. However, the choice of PrestoDB depends on specific use cases, existing infrastructure, and the team's familiarity with its architecture and operational demands.

Why this product is good

  • PrestoDB is a highly-regarded distributed SQL query engine that excels in speed and efficiency for querying large datasets. It's designed for running interactive analytic queries against data sources of all sizes. Some of its core strengths include its ability to query data across a wide variety of sources, scalability, and strong community support. It's often chosen for its capability to integrate seamlessly in environments requiring fast data processing and analysis without the need to move or transform data extensively.

Recommended for

    PrestoDB is ideal for technology firms, data-driven companies, and organizations in need of real-time data analytics. It is especially well-suited for those with existing big data frameworks (like Hadoop, Kafka, and Cassandra) who require a performant query engine to leverage large datasets efficiently. It's recommended for teams familiar with distributed systems who need the flexibility and speed offered by PrestoDB's architecture.

Teammately.ai videos

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Getting Started with Teammately

More videos:

  • Demo - Introducing Teammately - the AI AI-Engineer

Presto DB videos

No Presto DB videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Teammately.ai and Presto DB)

Teammately.ai

Presto DB

AI
100 100%
AI
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Developer Tools
100 100%
Developer Tools
0% 0
Database Tools
0 0%
Database Tools
100% 100

Questions and Answers

As answered by people managing Teammately.ai and Presto DB.

What makes your product unique?

Teammately.ai's answer

Teammately has following benefits:

  • Enable Human AI-Engineers to focus on more creative and productive missions in AI development.
  • Ensure the AI quality and performance far exceed what a human-only team could have ever achieved

How would you describe your primary audience?

Teammately.ai's answer

This product is for AI-Engineer. Teammately is an Agentic AI for AI development process, designed to enable "Human AI-Engineers" to focus on more creative and productive missions in AI development.

User comments

Share your experience with using Teammately.ai and Presto DB. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Presto DB seems to be more popular. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Teammately.ai mentions (0)

We have not tracked any mentions of Teammately.ai yet. Tracking of Teammately.ai recommendations started around Jan 2025.

Presto DB mentions (10)

  • Data Warehouses and Data Lakes: Understanding Modern Data Storage Paradigms 📦
    Follow Presto at Official Website, Linkedin, Youtube, and Slack channel to join the community. - Source: dev.to / about 1 month ago
  • Introduction to Presto: Open Source SQL Query Engine that's changing Big Data Analytics
    In today's data-driven world, organizations face a constant challenge: how to analyse massive datasets quickly and efficiently without moving data between disparate systems. Presto, an open-source distributed SQL query engine that's revolutionizing how we approach big data analytics. - Source: dev.to / about 1 month ago
  • Twitter's 600-Tweet Daily Limit Crisis: Soaring GCP Costs and the Open Source Fix Elon Musk Ignored
    Presto: Presto is an open-source distributed SQL query engine that enables querying data from various sources. It provides fast and interactive analytics capabilities, supporting a wide range of data formats and integration with different storage systems. - Source: dev.to / about 2 months ago
  • Using IRIS and Presto for high-performance and scalable SQL queries
    The rise of Big Data projects, real-time self-service analytics, online query services, and social networks, among others, have enabled scenarios for massive and high-performance data queries. In response to this challenge, MPP (massively parallel processing database) technology was created, and it quickly established itself. Among the open-source MPP options, Presto (https://prestodb.io/) is the best-known... - Source: dev.to / 5 months ago
  • Parsing logs from multiple data sources with Ahana and Cube
    Presto is an open-source distributed SQL query engine, originally developed at Facebook, now hosted under the Linux Foundation. It connects to multiple databases or other data sources (for example, Amazon S3). We can use a Presto cluster as a single compute engine for an entire data lake. - Source: dev.to / almost 3 years ago
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What are some alternatives?

When comparing Teammately.ai and Presto DB, you can also consider the following products

Dify.AI - Open-source platform for LLMOps,Define your AI-native Apps

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

LangChain - Framework for building applications with LLMs through composability

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Haystack NLP Framework - Haystack is an open source NLP framework to build applications with Transformer models and LLMs.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

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