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Presto DB VS IBM Analytics Engine

Compare Presto DB VS IBM Analytics Engine and see what are their differences

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Presto DB logo Presto DB

Distributed SQL Query Engine for Big Data (by Facebook)

IBM Analytics Engine logo IBM Analytics Engine

Analytics Engine is a combined Apache Spark and Apache Hadoop service for creating analytics applications.
  • Presto DB Landing page
    Landing page //
    2023-03-18
  • IBM Analytics Engine Landing page
    Landing page //
    2023-07-11

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.

IBM Analytics Engine features and specs

  • Scalability
    IBM Analytics Engine allows you to scale resources up or down based on demand, which helps optimize performance and costs.
  • Integration with IBM Cloud
    It integrates seamlessly with other IBM Cloud services, providing enhanced capabilities for data processing and analytics within the cloud ecosystem.
  • Support for Multiple Analytics Engines
    The platform supports various analytics engines like Apache Spark and Apache Hadoop, giving users flexibility in choosing tools that best fit their analytics needs.
  • Automated Management
    IBM Analytics Engine offers automated cluster management and maintenance, which reduces the operational burden on IT teams.
  • Cost Efficiency
    Pay-as-you-go pricing model allows businesses to manage costs effectively by only paying for the resources they use.

Possible disadvantages of IBM Analytics Engine

  • Complexity
    The learning curve can be steep for users unfamiliar with cloud-based analytics tools or the specific engines supported by the platform.
  • Dependency on Internet Connectivity
    As a cloud-based service, consistent and reliable internet connectivity is required for optimal performance and accessibility.
  • Limited Offline Capabilities
    The service primarily operates in the cloud with limited offline capabilities, which might not be suitable for environments where offline access is crucial.
  • Potential for Vendor Lock-In
    Migrating away from IBM Analytics Engine to another platform might require significant effort and resources, raising concerns about vendor lock-in.
  • Data Privacy Concerns
    Storing and processing data in the cloud can raise data privacy and compliance concerns, especially for businesses in regulated industries.

Category Popularity

0-100% (relative to Presto DB and IBM Analytics Engine)

Presto DB

IBM Analytics Engine

Data Dashboard
95 95%
Data Dashboard
5% 5
Database Tools
100 100%
Database Tools
0% 0
Big Data
0 0%
Big Data
100% 100
Big Data Analytics
100 100%
Big Data Analytics
0% 0

User comments

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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.

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 / 26 days 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 / 26 days 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 1 month 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 / 4 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
View more

IBM Analytics Engine mentions (0)

We have not tracked any mentions of IBM Analytics Engine yet. Tracking of IBM Analytics Engine recommendations started around Mar 2021.

What are some alternatives?

When comparing Presto DB and IBM Analytics Engine, you can also consider the following products

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.

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

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

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.

Snowflake - Snowflake is the only data platform built for the cloud for all your data & all your users. Learn more about our purpose-built SQL cloud data warehouse.

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

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