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Cloudera Analytic DB description
Cloudera Analytic DB, powered by Apache Impala, lets you analyze large volumes of data directly in its storage using a familiar tool - SQL. It's designed for fast query performance and allows you to combine different data types for a complete view of your business. While technical expertise is beneficial, the use of SQL makes it approachable for data professionals with various skill sets. This makes it suitable for mid-sized companies looking to leverage their data without a complete overhaul of their existing systems.
Who is Cloudera Analytic DB best for
Cloudera Analytic DB is a SQL-based tool for analyzing large data volumes. We find that it works well for mid-sized companies or larger aiming to improve data-driven decisions, especially in software, IT, or telecommunications. It allows you to combine different data types for a complete business view.
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Great for mid-sized (101-1000 employees) and large enterprises (1001+).
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In our experience, this is a solid pick for Software, IT, and Telecommunications looking to leverage data.
Cloudera Analytic DB features
Supported Data Access with Hive and Impala: Access data through queries using Apache Hive and Apache Impala. |
Supported Hive and Impala Distinction: Understand syntax, data format, and feature differences between Hive and Impala. |
Supported Query Execution: Write and execute queries using functions, aggregate functions, and subqueries. |
Supported Dataset Combination: Combine datasets using joins and unions. |
Supported Database Management: Create, modify, and delete tables, views, and databases within the data warehouse. |
Supported Data Loading and Storage: Load data into tables and efficiently store query results for later retrieval. |
Supported Performance Optimization: Select appropriate file formats and develop partitioning schemes for optimized query performance. |
Supported Advanced Analytics: Utilize analytic and windowing functions to derive deeper insights from the data. |
Supported Complex Data Handling: Work with complex and nested data structures effectively. |
Supported Unstructured Data Analysis: Process and analyze semi-structured and unstructured data. |
Supported Hive and Impala Optimization: Optimize and extend the capabilities of Hive and Impala. |
Supported Technology Selection: Determine the best choice between Hive, Impala, an RDBMS, or a combination for specific tasks. |
Cloudera Analytic DB pricing
The commentary is based on 3 reviews from Cloudera Analytic DB G2 reviews.
We find that Cloudera Analytic DB's pricing is generally considered expensive, especially regarding licensing and ongoing maintenance. While there's no free version, users appreciate the value and leverage it provides for their data warehousing needs, regardless of company size.
See the Cloudera Analytic DB pricing page.
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Cloudera Analytic DB has a free trial.
Develop, schedule, monitor, and debug data pipelines to streamline ETL processes quickly & securely.
Develop, schedule, monitor, and debug data pipelines to streamline ETL processes quickly & securely.
Deploy data warehouses with secure, self-service access to enterprise data.
Develop future-proof applications that deliver unparalleled scale, performance, and reliability.
Provide collaborative ML workspaces with secure, self-service access to enterprise data.
Easily manage clusters running Apache Spark, Hive, Impala, HBase, Phoenix, Kafka, Flink, and more.
A premium Data Hub service to ingest, transform and manage streaming data, powered by Apache NiFi.
Catalog, deploy, manage and monitor Apache NiFi data flow deployments and functions.
Catalog, deploy, manage and monitor Apache NiFi data flow deployments and functions.
Monitor and optimize CDP deployments across hybrid cloud.
Utilize private connections between CDP deployments and the CDP Control Plane
Utilize private connections between CDP deployments and the CDP Control Plane
Deploying and managing traditional models, large language models (LLMs), and generative AI models with high performance, security, and scalability
Modernized data clusters built with modern open-source data management and analytics software. Powered by the Apache Iceberg open table format to handle large analytic datasets with reliability while built-in automations guarantee improved performance and productivity. Run against HDFS files stores, high-density Ozone object storage, or select third party storage, with SDX technologies.
Modernized data clusters built with modern open-source data management and analytics software. Powered by the Apache Iceberg open table format to handle large analytic datasets with reliability while built-in automations guarantee improved performance and productivity. Run against HDFS files stores, high-density Ozone object storage, or select third party storage, with SDX technologies.
Modernized data clusters built with modern open-source data management and analytics software. Powered by the Apache Iceberg open table format to handle large analytic datasets with reliability while built-in automations guarantee improved performance and productivity. Run against HDFS files stores, high-density Ozone object storage, or select third party storage, with SDX technologies.
Modernized data clusters built with modern open-source data management and analytics software. Powered by the Apache Iceberg open table format to handle large analytic datasets with reliability while built-in automations guarantee improved performance and productivity. Run against HDFS files stores, high-density Ozone object storage, or select third party storage, with SDX technologies.
Easy to use, auto-scaling Data Engineering, Data Warehouse, and Machine Learning Data Services that rely on CDP Private Cloud Base for HDFS, Ozone object storage, or select third party storage, with SDX technologies.
Easy to use, auto-scaling Data Engineering, Data Warehouse, and Machine Learning Data Services that rely on CDP Private Cloud Base for HDFS, Ozone object storage, or select third party storage, with SDX technologies.
Monitor and optimize CDP deployments across hybrid cloud.
Easily create rich interactive dashboards that accelerate analytical insights across your enterprise. Supports CDP Private Cloud Data Services.
Leverage GPUs to accelerate Cloudera Data Engineering as well as Machine Learning Spark workloads. Supports both CDP Private Cloud Base and CDP Private Cloud Data Services.
Cloudera Analytic DB alternatives
Cloudera Analytic DB FAQ
Cloudera Analytic DB, powered by Apache Impala, enables fast SQL queries on large datasets directly in your storage. We find that it's particularly useful for combining various data types, providing a holistic business view. It's a good fit for mid-sized companies seeking efficient data analysis without major system changes.
What is Cloudera Analytic DB and what does Cloudera Analytic DB do?
Cloudera Analytic DB, powered by Apache Impala, enables fast SQL queries on large datasets directly in your storage. We find that it's particularly useful for combining various data types, providing a holistic business view. It's a good fit for mid-sized companies seeking efficient data analysis without major system changes.
Cloudera Analytic DB integrates with Apache Hive and Impala for data access and querying. It also supports various data types and formats, allowing you to connect and analyze data from multiple sources within your existing data ecosystem.
How does Cloudera Analytic DB integrate with other tools?
Cloudera Analytic DB integrates with Apache Hive and Impala for data access and querying. It also supports various data types and formats, allowing you to connect and analyze data from multiple sources within your existing data ecosystem.
We find that Cloudera Analytic DB's main competitors include Snowflake, Amazon Redshift, Google Cloud BigQuery, and Azure Synapse Analytics. These alternatives offer similar cloud-based data warehousing and analytics capabilities.
What the main competitors of Cloudera Analytic DB?
We find that Cloudera Analytic DB's main competitors include Snowflake, Amazon Redshift, Google Cloud BigQuery, and Azure Synapse Analytics. These alternatives offer similar cloud-based data warehousing and analytics capabilities.
Yes, Cloudera Analytic DB is a legitimate product. It's powered by Apache Impala and receives generally positive reviews on G2 and Glassdoor. We find it's a good option for mid-sized companies in data-heavy industries.
Is Cloudera Analytic DB legit?
Yes, Cloudera Analytic DB is a legitimate product. It's powered by Apache Impala and receives generally positive reviews on G2 and Glassdoor. We find it's a good option for mid-sized companies in data-heavy industries.
Cloudera Analytic DB (private cloud) has several pricing tiers depending on configuration and add-ons. The base price starts at $25 and can reach $10,000. Data services range from $650 to $7500 for GPU acceleration. Public cloud pricing is hourly, based on CCUs. Contact Cloudera for detailed pricing.
How much does Cloudera Analytic DB cost?
Cloudera Analytic DB (private cloud) has several pricing tiers depending on configuration and add-ons. The base price starts at $25 and can reach $10,000. Data services range from $650 to $7500 for GPU acceleration. Public cloud pricing is hourly, based on CCUs. Contact Cloudera for detailed pricing.
We find that Cloudera Analytic DB's customer service is viewed positively. Users mention "excellent" support and haven't found anything to dislike about their experience so far. This suggests a good level of customer satisfaction.
Is Cloudera Analytic DB customer service good?
We find that Cloudera Analytic DB's customer service is viewed positively. Users mention "excellent" support and haven't found anything to dislike about their experience so far. This suggests a good level of customer satisfaction.
Reviewed by
Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.
An AI tool that observes your work, finds inefficiencies, and suggests smarter ways to do things. Maybe you can use your tools better, automate tasks, or switch software.