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Presto DB VS OpenText Analytics

Compare Presto DB VS OpenText Analytics and see what are their differences

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Presto DB logo Presto DB

Distributed SQL Query Engine for Big Data (by Facebook)

OpenText Analytics logo OpenText Analytics

OpenText Analytics provides software and services to develop and deploy custom business intelligence and information applications.
  • Presto DB Landing page
    Landing page //
    2023-03-18
  • OpenText Analytics Landing page
    Landing page //
    2023-07-04

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.

OpenText Analytics features and specs

  • Comprehensive Reporting
    OpenText Analytics offers robust reporting tools that support a wide array of data visualization options, making it suitable for complex business intelligence requirements.
  • Scalability
    The platform is designed to scale from departmental to enterprise-level deployments, accommodating a growing amount of data and more complex analytics over time.
  • Data Integration
    Supports integration with various data sources, including databases, cloud services, and on-premise systems, ensuring a seamless flow of information.
  • User-Friendly Interface
    Features a drag-and-drop interface that makes it easier for users to create and manage their own dashboards and reports without needing deep technical expertise.
  • Customizability
    Offers extensive options for customization, allowing users to tailor solutions to fit specific business needs and preferences.

Possible disadvantages of OpenText Analytics

  • Cost
    The solution can be expensive for small to medium-sized businesses, particularly when considering the total cost of ownership, including licenses, implementation, and maintenance.
  • Complexity
    While powerful, the platform can be complex to set up and may require a steep learning curve, as well as skilled personnel for effective implementation and maintenance.
  • Performance Issues
    Some users have reported performance issues, particularly when dealing with extremely large datasets or complex queries.
  • Limited Community Support
    Compared to other analytics platforms, OpenText Analytics has a smaller community, which can make it difficult to find peer support or third-party resources.
  • Periodic Updates
    Updates and new features are not always released as frequently as some users might like, which can be a downside for organizations looking for the latest capabilities.

Presto DB videos

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OpenText Analytics videos

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OpenText Analytics Live Demo

Category Popularity

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

Presto DB

OpenText Analytics

Data Dashboard
73 73%
Data Dashboard
27% 27
Database Tools
72 72%
Database Tools
28% 28
Big Data Analytics
70 70%
Big Data Analytics
30% 30
Databases
100 100%
Databases
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 / 9 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 / 9 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 / 24 days 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 / 3 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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OpenText Analytics mentions (0)

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

What are some alternatives?

When comparing Presto DB and OpenText Analytics, 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.

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.

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

Rakam - Custom analytics platform

Informatica - As the world’s leader in enterprise cloud data management, we’re prepared to help you intelligently lead—in any sector, category or niche.

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