Analytical Data Store Tools

Analytical Data Store

What is Analytical Data Store Tools?

Analytical Data Store (formerly Big Data), also known as Data Warehouse, is a statistical or analysis tool-set that mines large data sets and applies robust ways to analyze, extract, or otherwise deal with data sets that are too complex to be dealt with by traditional data-processing software.

Common Features

  • Analytics and Reporting
  • Data Security
  • Data Management
  • Data Visualization
  • Metadata Management
  • Real Time Capabilities
  • Platform Administration
  • Data Integration
  • Workload Management and Monitoring
  • Analytics and Data Science Tools
  • Distributed Processing

Top Analytical Data Store Tools

2024 Data Quadrant Awards

2024 Emotional Footprint Awards

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At SoftwareReviews, we take pride in recognizing excellence. Each year, we present the Emotional Footprint Awards to top-performing software products based solely on authentic user reviews, without any paid placements or analyst opinions. These awards shine a spotlight on software vendors who excel in crafting and nurturing strong customer relationships.

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Products: 12
Next Award: Apr 2025

Top Analytical Data Store Tools 2024

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

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Composite Score
8.8 /10
CX Score
9.1 /10

BigQuery is a fully managed, AI-ready data analytics platform that helps you maximize value from your data and is designed to be multi-engine, multi-format, and multi-cloud. Use BigQuery to manage all data types across clouds, structured and unstructured, with fine-grained access controls. BigQuery's serverless architecture lets you use SQL queries to analyze your data. You can store and analyze your data within BigQuery or use BigQuery to assess your data where it lives.

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Pros

  • Respectful
  • Acts with Integrity
  • Caring
  • Security Protects
Badge Winner
Badge Winner
Snowflake

Snowflake

Composite Score
8.8 /10
CX Score
9.1 /10

Snowflake’s cloud data platform supports a multi-cloud strategy, including a cross-cloud approach to mix and match clouds as you see fit. Snowflake is available globally on AWS, Azure and Google Cloud Platform. With a common and interchangeable code base, Snowflake delivers advantages such as global data replication, which means you can move your data to any cloud in any region, without having to re-code your applications or learn new skills.

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Pros

  • Helps Innovate
  • Reliable
  • Performance Enhancing
  • Trustworthy
Badge Winner
Badge Winner
Composite Score
8.7 /10
CX Score
9.0 /10

Amazon Redshift is used to modernize data analytics workloads and deliver insights into businesses. With a fully managed, AI powered, massively parallel processing (MPP) architecture, Amazon Redshift drives business decision making quickly and cost effectively. Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and machine learning to deliver optimal performance at any scale.

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Pros

  • Performance Enhancing
  • Reliable
  • Helps Innovate
  • Continually Improving Product
Badge Winner
Badge Winner
Composite Score
8.3 /10
CX Score
8.6 /10

Oracle Exadata is an enterprise database platform that runs Oracle Database workloads of any scale and criticality with high performance, availability, and security. Exadata’s scale-out design employs unique optimizations that let transaction processing, analytics, artificial intelligence, and mixed workloads run faster and more efficiently. Consolidating diverse Oracle Database workloads on Exadata platforms in enterprise data centers, Oracle Cloud Infrastructure (OCI), and multicloud environments helps organizations increase operational efficiency, reduce IT administration, and lower costs.

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Pros

  • Continually Improving Product
  • Reliable
  • Respectful
  • Helps Innovate
Badge Winner
Badge Winner
Composite Score
7.9 /10
CX Score
8.1 /10

Harness the power of your data and accelerate trusted outcome-driven innovation by developing intelligent and live solutions for real-time decisions and actions on a single data copy. Support next-generation transactional and analytical processing with a broad set of advanced analytics – run securely across hybrid and multicloud environments.

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Pros

  • Reliable
  • Trustworthy
  • Fair
  • Acts with Integrity
Composite Score
7.7 /10
CX Score
7.9 /10

Cloudera Data Platform is a hybrid data platform designed for unmatched freedom to choose—any cloud, any analytics, any data. Cloudera delivers fast and easy data management and data analytics for data anywhere, with optimal performance, scalability, and security. Cloudera offers the highest performance and lowest cost platform for using data to drive better business outcomes.

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Pros

  • Acts with Integrity
  • Inspires Innovation
  • Respectful
  • Helps Innovate
SAS Institute Inc.

Base SAS

Composite Score
7.7 /10
CX Score
7.9 /10

Base SAS Software delivers flexible, extensible 4GL and web-based interface for data access, transformation, and reporting. Based on an open, cross-platform architecture, Base SAS is hardware-agile and integrates into any computing infrastructure, enabling you to unify computing efforts and get a single view of your data. From small data issues to large complex data problems, programmers can read, format, analyze and report on data quickly, regardless of format.

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Pros

  • Respectful
  • Acts with Integrity
  • Reliable
  • Efficient Service
Badge Winner
Composite Score
7.6 /10
CX Score
7.9 /10

Azure Synapse is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless or provisioned resources—at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

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Pros

  • Security Protects
  • Efficient Service
  • Respectful
  • Fair
Composite Score
7.5 /10
CX Score
7.6 /10

Splunk Cloud Platform, the Splunk platform capabilities delivered as a service, enables you to make confident decisions and take decisive action on insights from your data without needing to purchase, manage or deploy infrastructure. Splunk Cloud Platform transforms user productivity with streaming, search, analytics, visualization and mobile capabilities, changing the ways users work and interact with data to solve cloudscale problems.

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Pros

  • Reliable
  • Respectful
  • Acts with Integrity
  • Continually Improving Product

IBM Netezza Performance Server is the advanced cloud-native data warehouse designed for unified, scalable analytics and insights available anywhere. Built with data lake and watsonx.data integration, Netezza Performance Server empowers you to run highly complex queries and machine learning to support critical business decisions across your organization.

Pros

  • Unique Features
  • Effective Service
  • Caring
  • Client Friendly Policies