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With so many different OLAP tools available, figuring out which is right for you is tough. You know you want to query large amounts of data in a flexible and efficient manner but need to figure out which tool is best. I've got you! In this post I'll help make your choice easy, sharing my personal experiences using dozens of different OLAP software with various teams and databases, with my picks of the best OLAP tools.

What Are OLAP Tools?

OLAP (Online Analytical Processing) tools are software applications used for complex data analysis in business intelligence. They enable the examination and manipulation of data from multiple perspectives, supporting multidimensional queries and analysis. These tools aggregate, summarize, and analyze large volumes of data, allowing for in-depth exploration of business metrics and trends.

The benefits of OLAP tools include enhanced capability for detailed and comprehensive data analysis, leading to more informed decision-making in businesses. They allow users to quickly access, manipulate, and analyze large data sets, uncovering insights and trends that are critical for strategic planning. OLAP tools facilitate efficient data exploration and reporting, making them valuable for organizations seeking to improve their business intelligence and data-driven strategies. Their ability to handle complex data queries and provide rapid responses makes them essential for in-depth business analysis and reporting.

Overviews Of The 10 Best OLAP Tools

Let’s take a dive into my overview of each OLAP tool to get a snapshot of their inner workings, and an exploration of their standout features, essential integrations, and a few pros and cons that may help you narrow down the best choice.

1

Toucan

Best for data storytelling for your customers

This is an aggregated rating for this tool including ratings from Crozdesk users and ratings from other sites.
4.8
103 reviews

Free demo available

Pricing upon request

Instead of revealing data about your internal operations, Toucan is designed as a customer-facing analytics platform to ensure you’re providing the best end-user experience. Toucan provides guided data visualization and an app gallery you can use as a starting point for dashboard customization.

Why I picked Toucan: The thing that I found really cool about this platform was its focus on making data more interesting. With the Storytelling Framework and Guided Design features, you can create professional, engaging reports without needing to code or design.

Toucan Standout Features and Integrations

Standout features include Zero-Click Mobility that allows you to create an application once for access on any device and live data connections with any API-ready cloud data source.

Integrations include Aircall, Amazon Web Services, Azure, Microsoft SQL Server, MicroStrategy, MongoDB, Onedrive, SAP HANA, Snowflake, and Soap.

Pricing One-Liner: Custom pricing available

Free Trial One-Liner: Free demo available

PROS

Versatile software can integrate with any workflow

It supports many reporting visualization styles

Customer support is friendly and knowledgeable

CONS

Can be daunting to learn initially

High learning curve that requires customer support

2

Tableau

Best for advanced management in mission-critical use cases

This is an aggregated rating for this tool including ratings from Crozdesk users and ratings from other sites.
4.4
2027 reviews

14-day free trial

From $70/user/month

Designed to provide you more depth and serve the needs of the largest global enterprises, Tableau can fit in with any data strategy and workflow. Instead of dictating your performance management, it adapts to your environment with more flexibility in no-code queries, interactive data stories, and metadata management.

Why I picked Tableau: I like this OLAP system because it gives you more control over metadata management. With Tableau, you can modify number formats, create data subsets with selected groups of points, combine fields into groups, rename fields, and build new hierarchies.

Tableau Standout Features and Integrations

Standout features include cloud or self-hosted server options, enhanced security with Customer-Managed Encryption Keys (CMEK), and a content migration tool to define and schedule migration plans.

Integrations include Asana, ClickUp, Google Analytics, MATLAB, OptiSigns, Procore, Salesforce Sales Cloud, Smartsheet, SurveyMonkey, and Yodeck.

Pricing One-Liner: From $15/user/month

Free Trial One-Liner: Free trial available

PROS

Intuitive and easy to use

A lot of customization options

No-code functionality, like drag-and-drop

CONS

Some data syncing issues

Lags when interfacing with Big Data

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3

Adverity

Best centralized data management for marketing teams

This is an aggregated rating for this tool including ratings from Crozdesk users and ratings from other sites.
4.5
174 reviews

Free Version

From $2000/business

As an integrated data platform for marketing teams, Adverity specializes in empowering marketers with automated data integration from hundreds of sources, as well as providing a single source of knowledge that reveals the tangible impact of all marketing activities on your business.

Why I picked Adverity: This platform made my list because it was designed for non-technical users, like your marketing team. You can set up automations that enhance and unify your data with no coding required through easy-to-use script templates that automatically transform your data.

Adverity Standout Features and Integrations

Standout features include a data dictionary that’s auto populated to manage metrics and data mapping, as well as built-in data governance to ensure data quality and completeness.

Integrations include Box, Google Ads, Google Analytics, HubSpot Marketing Hub, Instagram, Mailchimp, Microsoft SharePoint, SEMrush, Shopify, and Twitter. The platform offers pre-built API connectors along with customizable universal connectors.

Pricing One-Liner: From $500/month

Free Trial One-Liner: 14-day free trial available

PROS

Easy to use once training is complete

Hundreds of integration options

Frequent updates and improvements

CONS

Some limitations on automations

Add-on tools can cost extra

4

Domo

Best for predictive analytics using AI and machine learning

This is an aggregated rating for this tool including ratings from Crozdesk users and ratings from other sites.
4.4
632 reviews

Free trial + free demo available

Pricing upon request

Domo offers end users a cloud-native data platform that’s designed to go beyond traditional business intelligence analysis with user-friendly dashboards, actionable insights, and data visualizations that anyone can understand. Domo can connect with existing legacy and cloud systems.

Why I picked Domo: This platform made my list because it can incorporate ML and AI into your workflows. With these technologies, you can infuse your existing data with additional insights and ask questions in natural language queries for live analysis that helps you keep up with trends.

Domo Standout Features and Integrations

Standout features include ModelOps to reduce manual work and streamline deployment, as well as business-facing dashboards to share business data with non-technical users.

Integrations include Basecamp, DocuSign, DropBox Business, GitHub, Google Drive, Jira, Mailchimp, Microsoft Excel, SurveyMonkey, and Trello.

Pricing One-Liner: From $83/month

Free Trial One-Liner: Free plans available

PROS

Drag-and-drop ETL capabilities

Over 1,000 pre-built data connectors

Android and iOS native apps available

CONS

No navigation across related objects to retrieve fields in different data sets

Customer service reps are mainly non-technical

5

Sisense

Best for building intelligent analytics into products

This is an aggregated rating for this tool including ratings from Crozdesk users and ratings from other sites.
4.3
729 reviews

Free trial + free demo available

Pricing upon request

As a data and analytics platform, Sisense strives to make it easier for your team to mashup data from across your entire landscape and transform it into actionable analytics that you can embed anywhere, including reports, web pages, and presentations. Sisense offers functionality in the cloud or on-premise, as well as a mix of both to provide more versatility.

Why I picked Sisense: I chose this platform for my list because they have a Notebook feature that allows you to leverage a combination of cached or live data models for optimal performance and resource management. Whether you do ad hoc analysis or build something more advanced, you can prep, cleanse, and perform sophisticated data transformations through SQL queries, R-code, and Python.

Sisense Standout Features and Integrations

Standout features include Git-based workflows to visualize and augment business analytics and scalable data processing for all skill levels, including no code, low code, and full-code.

Integrations include Dropbox Business, Gmail, Google Drive, Microsoft Excel, PayPal, QuickBooks Desktop Enterprise, Mailchimp, Salesforce Sales Cloud, Slack, and SurveyMonkey.

Pricing One-Liner: Pricing available upon request

Free Trial One-Liner: Free demo available

PROS

Very integratable with common databases

Highly customizable dashboards and reporting

Attractive user-interface design

CONS

Customization can be tedious

Installation is long and complex

6

Grow

Best for full-stack business intelligence with no coding

This is an aggregated rating for this tool including ratings from Crozdesk users and ratings from other sites.
4.3
232 reviews

Free trial available

Pricing Upon Request

This no-code BI platform is meant to empower your entire organization to explore data for better decision-making for every team. Grow combines data warehousing, ETL, and visualizations with an OLAP server to help you connect and explore data and surface new insights.

Why I picked Grow: This platform has a few unique features, including automated reporting that keeps your data pipelines fresh with sync schedules that refresh your dashboards and other reports as the information changes. Customize your KPIs and metrics to see the things you truly care about.

Grow Standout Features and Integrations

Standout features include an OLAP database where you can access reusable data tables from multiple data sources and permissions-based control to authorize and assign raw stored tables.

Integrations include Dropbox, Facebook Ads, Google Ads, Google Analytics, Google Sheets, HubSpot, Instagram Business, MySQL, PostgreSQL, and Stripe.

Pricing One-Liner: From $1,500/month

Free Trial One-Liner: Free trial available

PROS

Unlimited user license pricing model for better budgeting

Dashboards are easy to read

Knowledgeable customer support team

CONS

Doesn’t offer all BI capabilities

Limited export capabilities

7

Reveal

Best for providing pre-trained AI models developed by a team of data scientists

This is an aggregated rating for this tool including ratings from Crozdesk users and ratings from other sites.
4.5
47 reviews

As a web-based eDiscovery software, Reveal can help your organization find, sort, and store electronic data to gain actionable insights from unstructured or structured datasets with a focus on AI and machine learning technology. This platform focuses on streamlining litigation, configuring workflows, and managing investment processes.

Why I picked Reveal: One standout feature from this platform is the pre-generated AI models that are designed by the in-house data scientist team. You can access out-of-the-box solutions, including data cleanup, toxic work environment detection, privileged document detection, and sexual harassment detection.

Reveal Standout Features and Integrations

Standout features include large language models for predictive content generation and legal hold management for discrete data preservation.

Integrations include NexLP.

Pricing One-Liner: Custom pricing available

Free Trial One-Liner: Free trial available

PROS

Can be used in a cloud environment

Intuitive navigation and interface

Lots of built-in features

CONS

Pre-defined reports could be better

Can’t print directly from the platform

8

Style Intelligence

Best for Mashup-driven dashboards

Free plan available

From $165/month

This platform from InetSoft Technology is a data mashup and BI application for large organizations that need advanced tools to help them connect data from a variety of sources to generate valuable, actionable insights. Style Intelligence offers a versatile analytics engine that can operate on a standalone server, as well as large big data clusters based on Hadoop or Apache.

Why I picked Style Intelligence: This tool made my list because it offers iterative Mashup and visualization for reporting and dashboards. You can profile data and verify manipulations quickly through data visualization. You can also build visualization dashboards and add data transformations for even more efficient visual output.

Style Intelligence Standout Features and Integrations

Standout features include in-cloud and on-premise data with diverse formats and structures and deliverable document reports that can be accessed online or sent while offline.

Integrations include Adobe Analytics, AirTable, Buffer, Campaign Monitor, Chargebee, Flat files, FreshBooks, Freshdesk, SAP ERP, and SAP HANA.

Pricing One-Liner: From $165/month

Free Trial One-Liner: Free plan available

PROS

High quality support from account managers

Easy to learn and use

Dashboards and visualizations always load quickly

CONS

Intricate data block management can be tough

White Label could be a little more streamlined

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9

icCube

Best embedded analytics solution for SaaS

Free trial available

From $24,000/year

As a B2B SaaS solution, icCube is designed to deeply embed analytic capabilities inside your applications through white-labeled dashboards, multidimensional OLAP analytics, and fine-grained security features. icCube is built to shorten your time to market and continually respond to changing market expectations and customer demands.

Why I picked icCube: This platform made my list due to its robust architecture. This platform offers a single Java process that runs on any OS as a result of modular architecture and respect for well-accepted language standards, including J2EE, HTTP, and JCR. You can set it up as a high availability solution with great reliability or as a redundant solution to maintain consistency.

icCube Standout Features and Integrations

Standout features include a self service dashboard editor with real-time data in a browser-based solution and branded design across all reports using the out-of-the-box wizard or Javascript.

Integrations include GitHub, Java data sources, Microsoft Excel, OLAP4J, Python data sources, and XMLA. Available REST API.

Pricing One-Liner: From $24,000/year

Free Trial One-Liner: Free trial available

PROS

Very easy to use the platform

Has a lot of flexibility

Designed for quick embedding into other tools

CONS

High pricing compared to competitors

Restricted extensibility and expansion

10

Toucan

Best for data storytelling for your customers

Free demo available

Custom pricing available

Instead of revealing data about your internal operations, Toucan is designed as a customer-facing analytics platform to ensure you’re providing the best end-user experience. Toucan provides guided data visualization and an app gallery you can use as a starting point for dashboard customization.

Why I picked Toucan: The thing that I found really cool about this platform was its focus on making data more interesting. With the Storytelling Framework and Guided Design features, you can create professional, engaging reports without needing to code or design.

Toucan Standout Features and Integrations

Standout features include Zero-Click Mobility that allows you to create an application once for access on any device and live data connections with any API-ready cloud data source.

Integrations include Aircall, Amazon Web Services, Azure, Microsoft SQL Server, MicroStrategy, MongoDB, Onedrive, SAP HANA, Snowflake, and Soap.

Pricing One-Liner: Custom pricing available

Free Trial One-Liner: Free demo available

PROS

Versatile software can integrate with any workflow

It supports many reporting visualization styles

Customer support is friendly and knowledgeable

CONS

Can be daunting to learn initially

High learning curve that requires customer support

Preview Image - <h2 class="c-block__title b-summary-table__title c-listicle__title h3" > Compare Software Specs Side by Side</h2>

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Other Options

My list of the top OLAP tools doesn’t have every single option out there, so here are a few more that might be the right fit for your organization:

  1. Microsoft Power BI

    Best for translating insights to impact your entire team

  2. Minitab

    Best for integrating with open-source languages, R, or Python

  3. Adverity

    Best centralized data management for marketing teams

  4. SplashBI

    Best all-in-one framework to drive efficiency

  5. Sisense

    Best for building intelligent analytics into products

  6. Looker

    Best for self-service, governed, and embedded business intelligence tools

  7. IBM Cognos

    Best for data accessibility through a natural language AI assistant

  8. Integrate.io

    Best for designing a no-code data pipeline for data teams

  9. OriginPro

    Best for graphing data for science and engineering needs

  10. Pentaho

    Best for full-solution functionality with optimization, integration, and analytics

  11. Apache Kylin

    Best analytical data warehouse for big data

  12. Qlik Sense

    Best for transforming your organization through the democratization of BI

  13. Qlik Sense

    Best for transforming your organization through the democratization of BI

  14. Databox

    Best for building custom dashboards and reports with thousands of metrics

Selection Criteria For OLAP Tools 

Here’s a short summary of the main selection and evaluation criteria I used to develop my list of the best OLAP Tools for this article:

Core Functionality

OLAP software is an incredibly powerful way to better understand the data you’re getting, but there are some core functionalities that every software on my list prioritizes, including:

  • Being easy to read and understand
  • Customization and flexibility
  • Uncover new patterns and relationships
  • Monitoring and recording ongoing business transactions

Key Features

The OLAP tools on my list offer plenty of features to ensure the functionality above, but some of the most important things to look for include:

  • Front-end flexibility: Your data should be democratized to ensure many people throughout your organization can use and understand these tools to get as many perspectives and insights as possible. With a non-relational database, your team can utilize drill-down, slice-and-dice, and roll-up functionality to begin data analysis.
  • Strong metadata layer: Metadata in this case refers to the structure of the OLAP Cube and its various multi-dimensional elements. These elements may include the characteristics of objects that you are using for database architecture and makes it easier to search, manage, and link the contents of the database.
  • Security features: You’ll see a variety of security options, including enterprise-grade security with SSO or AD Synchronization. You may also want to make sure you can control access with permissions by roles and responsibilities to ensure sensitive information is safe.
  • Custom reports: Data visualization is an incredibly important aspect of understanding your data and gaining the insights you need to make or explain various business decisions. Make sure you can automate, template, and customize your reports to make them easier to read.
  • Data and monitoring: To get the most accurate analytics, your system needs as much data as possible, so many of these tools offer access to at least 15 different sources, and some even have unlimited integrations with syncing at regular intervals.

Usability

OLAP tools are by nature a little more complex and difficult to learn how to use. However, that doesn’t mean that they should only be accessible to researchers, scientists, and data teams. I chose tools for my list that offer pre-built dashboards and reporting that can deliver insights to various teams within your organization. I also focused on intuitive navigation, user-friendly interfaces, and a robust support team.

Software Integrations

Because data sources are a big part of OLAP analysis services, integrations are critical to ensuring you have all the information you need at your fingertips. You’ll see which tools have tons of options in their breakdown where I list the most popular integrations, as well as whether or not they require Zapier.

Pricing

Pricing for OLAP tools can be a little confusing because it’s often based on functionality. How many people need access to the tools? How many unique data rows do you require each month? You can expect pricing to be subscription-based and customized to your needs for the most part. Tools can cost as little as $10/user/month or up to $2,000 a month.

People Also Ask

Still need more information to get the full picture on OLAP tools? Check out the answers to some of the most frequently asked questions here.

What are the benefits of OLAP tools?

OLAP arranges your data in a unique way that relational databases just can’t achieve. Because you can use a wide variety of variables and slice them any way you want, you can find new opportunities in existing data for predictive analytics, problem-solving, and forecasting.

OLAP can reveal things like the ideal number of employees for each store on any given day of the week or tell you why a particular location may be having a problem reaching their sales goals.

Who uses OLAP tools?

OLAP tools are most commonly used by business analysts to find answers to multi-dimensional queries. However, a data analyst may connect an OLTP (Online Transaction Processing) database to a cloud-based OLAP cube for computing-intensive queries or data analytics concerning historical data.

Many of the software options above are trying to empower non-technical users to utilize OLAP tools so they focus on drag-and-drop or natural language queries.

What are the 3 types of OLAP?

There are three main types of OLAP, which include:

  • MOLAP: As the abbreviation for Multi-dimensional Online Analytical Processing, MOLAP contains data that is precomputed and fabricated from existing cubes. A MOLAP system will have a database server from which to collect data, a MOLAP server that hosts the data cubes, and a front-end tool where users see the answers to their queries presented.
  • ROLAP: Relational Online Analytical Processing is a type of analytical processing where the data storage is done in a relational database management system (RDBMS). There it is arranged in columns and rows. As a user, you’ll see the data represented in multi-dimensional form when the ROLAP engine creates data cubes dynamically to answer your question.
  • HOLAP: Hybrid Online Analytical Processing is designed to solve the limitations of ROLAP and MOLAP by combining their attributes. Your database will be divided into two parts — relational storage and specialized storage — and then integrated to address issues with scalability and performance.

Other Revenue Operations Software

Are you looking for other BI tools to round out your tech stack? Take a look at these overviews to find the top SaaS options to fit your needs:

Next Steps

As you review these OLAP options, consider the predictive analytics strategies you already have in place and what systems you’re currently using. You might be able to supplement or exchange your current digital tools with something from my list. Explore some free trials and demos to see which ones would integrate best with your workflow before deciding.

But The RevOps Team is here to provide so much more when it comes to enhancing revenue operations and improving your business model. If you’re interested in even more insights from the experts, sign up for the newsletter to get up-to-the-minute advice delivered to your inbox.

By Phil Gray

Philip Gray is the COO of Black and White Zebra and Founding Editor of The RevOps Team. A business renaissance man with his hands in many departmental pies, he is an advocate of centralized data management, holistic planning, and process automation. It's this love for data and all things revenue operations landed him the role as resident big brain for The RevOps Team.

With 10+ years of experience in leadership and operations in industries that include biotechnology, healthcare, logistics, and SaaS, he applies a considerable broad scope of experience in business that lets him see the big picture. An unapologetic buzzword apologist, you can often find him double clicking, drilling down, and unpacking all the things.