Best OLAP Databases for ThoughtSpot

Compare the Top OLAP Databases that integrate with ThoughtSpot as of July 2026

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This a list of OLAP Databases that integrate with ThoughtSpot. Use the filters on the left to add additional filters for products that have integrations with ThoughtSpot. View the products that work with ThoughtSpot in the table below.

What are OLAP Databases for ThoughtSpot?

OLAP (Online Analytical Processing) databases are designed to support complex queries and data analysis, typically for business intelligence and decision-making purposes. They enable users to interactively explore large volumes of multidimensional data, offering fast retrieval of insights across various dimensions such as time, geography, and product categories. OLAP databases use specialized structures like cubes to allow for rapid aggregation and calculation of data. These databases are highly optimized for read-heavy operations, making them ideal for generating reports, dashboards, and analytical queries. Overall, OLAP databases help organizations quickly analyze data to uncover patterns, trends, and insights for better decision-making. Compare and read user reviews of the best OLAP Databases for ThoughtSpot currently available using the table below. This list is updated regularly.

1

Teradata VantageCloud

Teradata

Teradata VantageCloud is a cloud-native OLAP database platform designed for complex, high-performance analytical workloads at enterprise scale. It enables multidimensional analysis across structured and semi-structured data, supporting advanced SQL queries, real-time analytics, and AI/ML integration. VantageCloud runs across multi-cloud and hybrid environments, offering elastic scalability and robust workload management. Its open architecture ensures compatibility with modern data tools and formats, while built-in governance and security features support trusted, compliant analytics. Ideal for organizations needing fast, reliable insights from large, diverse datasets.

1,122 Ratings

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2

Snowflake

Snowflake

Snowflake is a comprehensive AI Data Cloud platform designed to eliminate data silos and simplify data architectures, enabling organizations to get more value from their data. The platform offers interoperable storage that provides near-infinite scale and access to diverse data sources, both inside and outside Snowflake. Its elastic compute engine delivers high performance for any number of users, workloads, and data volumes with seamless scalability. Snowflake’s Cortex AI accelerates enterprise AI by providing secure access to leading large language models (LLMs) and data chat services. The platform’s cloud services automate complex resource management, ensuring reliability and cost efficiency. Trusted by over 11,000 global customers across industries, Snowflake helps businesses collaborate on data, build data applications, and maintain a competitive edge.

4 Ratings

Starting Price: $2/credit

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3

Azure Synapse Analytics

Microsoft

Azure Synapse is Azure SQL Data Warehouse evolved. 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.

1 Rating

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4

Amazon Redshift

Amazon

Amazon Redshift is a cloud-based data warehouse solution from AWS designed to deliver high-performance analytics and support modern AI-driven workloads. The platform enables organizations to analyze large volumes of structured and unstructured data across data warehouses, data lakes, and third-party sources using SQL. Redshift is built for scalability and cost efficiency, offering improved throughput and price-performance with AWS Graviton-powered RG instances and Redshift Serverless options. The solution also supports near real-time analytics through zero-ETL integrations that connect operational databases, streaming services, and enterprise applications without complex data pipelines. Amazon Redshift integrates with Amazon SageMaker and Amazon Bedrock to support advanced machine learning, analytics, and generative AI use cases.

Starting Price: $0.543 per hour

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5

SAP HANA

SAP

SAP HANA in-memory database is for transactional and analytical workloads with any data type — on a single data copy. It breaks down the transactional and analytical silos in organizations, for quick decision-making, on premise and in the cloud. Innovate without boundaries on a database management system, where you can develop intelligent and live solutions for quick decision-making on a single data copy. And with advanced analytics, you can support next-generation transactional processing. Build data solutions with cloud-native scalability, speed, and performance. With the SAP HANA Cloud database, you can gain trusted, business-ready information from a single solution, while enabling security, privacy, and anonymization with proven enterprise reliability. An intelligent enterprise runs on insight from data – and more than ever, this insight must be delivered in real time.

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