Splunk vs Tableau
Last updated: June 10, 2019
We make machine data accessible, usable and valuable to everyone—no matter where it comes from. You see servers and devices, apps and logs, traffic and clouds. We see data—everywhere. Splunk offers the leading platform for Operational Intelligence. It enables the curious to look closely at what others ignore—machine data—and find what others never see: insights that can help make your company more productive, profitable, competitive and secure.
Tableau complements your natural ability to understand data visually. Our breakthrough products let you create rich analyses and share your insights with colleagues in seconds. Connect and visualize your data in minutes. Tableau is 10 to 100x faster than existing solutions. From spreadsheets to databases to Hadoop to cloud services, explore any data with Tableau.
Splunk vs Tableau in our news:
2019 - Salesforce acquires data visualization company Tableau for $15.7B
Salesforce is buying Tableau for $15.7 billion in an all-stock deal. This is a huge deal for Salesforce as it continues to diversify beyond CRM software and into deeper layers of analytics. The company reportedly worked hard to — but ultimately missed out on — buying LinkedIn (which Microsoft picked up instead), and while there isn’t a whole lot in common between LinkedIn and Tableau, this deal will also help Salesforce extend its engagement (and data intelligence) for the customers that Salesforce already has — something that LinkedIn would have also helped it to do. This also looks like a move designed to help bulk up against Google’s move to buy Looker, announced last week.
2018 - Tableau acquired AI-analytics startup Empirical Systems
Enterprise BI giant Tableau has acquired Empirical Systems, an early stage startup with AI roots. Their product is still in private Beta. It is delivered currently as an engine embedded inside other applications. That sounds like something that could slip in nicely into the Tableau analytics platform. What’s more, it will be bringing the engineering team on board for some AI knowledge, while taking advantage of this underlying advanced technology. Empirical was developed to make complex data modeling and sophisticated statistical analysis more accessible, so anyone trying to understand their data can make thoughtful, data-driven decisions based on sound analysis, regardless of their technical expertise. So we may assume that Tableau gets better AI-expertise in comparison to Adaptive Insights
2018 - Tableau gets a new data preparation tool
Data analytics platform Tableau launched a new data preparation tool. The general idea here is to give users a visual way to shape and clean their data, something that’s especially important as businesses now often pull in data from a variety of sources. Tableau Prep can automate some of this, but the most important aspect of the service is that it gives users a visual interface for creating these kind of workflows. Prep includes support for all the standard Tableau data connectors and lets users perform calculations, too. Also the company added server plan for businesses that want to deploy the service on-premises or on a cloud platform, and a fully hosted online plan. Prices for these range from $35 to $70 per user and month. Thereby Tableau gets better data preparation feature than Adaptive Insights
2017 - Tableau reveals Linux version to win over Zoomdata
Business Intelligence software provider Tableau announced Tableau Server on Linux, which gives a new option to users who do not want to run it on Windows Server. Besides, Tableau acquired HyPer, a startup that created Hyper, a main memory database for precisely that reason. It brings performance, faster loading and scalability according to Ajenstat. It replaces Tableau's TDE database, and is part of Tableau 10.5 which is available now in beta. Also Tableau has opened its API, inviting users to integrate and work with third-party applications directly in Tableau. Thus Tableau becomes more Linux-friendly than Zoomdata
2017 - Splunk expands machine learning capabilities across platform
Cloud monitoring provider Splunk is enhancing machine learning capabilities to make it easier to surface the data that’s most critical. The Splunk Machine Learning Toolkit has several new key features designed for the DIYers. First of all, there is a new data cleaning tool to get the data ready for the model. Next, there are machine learning APIs to import open source and proprietary algorithms and apply them in Splunk. Finally, there is a machine learning management component to integrate user permissions directly from Splunk into custom machine learning applications. For those who would prefer Splunk to do some of the work for them, there are also new goodies including Splunk ITSI 3.0, which uses machine learning to help identify issues and prioritize them based on how critical a given operation is to the business. So we may assume that Splunk becomes more intelligent if compared vs Datadog
2017 - Tableau acquired natural language processing startup ClearGraph to catch up with Datazen
Business intelligence solution provider Tableau has acquired ClearGraph, a service that lets you query and visualize large amounts of business date through natural language queries. Tableau expects to integrate this technology with its own products as it looks to make it easier for its users to use similar queries to visualize their data. Recent advances in natural language processing and machine learning now allow ClearGraph and Datazen to understand more about the underlying database and then take these sentences and essentially translate them into database queries. Given that Microsoft’s Power BI and other competitors already offer this capability, it’s no surprise that Tableau is also looking into this.
2016 - Tableau to launch visual data-prep software with deep learning to catch up with Watson Analytics
Tableau is moving into the data-wrangling business, announcing plans for visual data-preparation software code-named Project Maestro. The idea is to bring the same sort of "self-service" visualization to the prepping and cleaning of data as they've built for data analysis. Besides the company is going to implement Natural Language Processing (NLP) to bring new ways to interact with data through human language such as voice and text and Tableau Machine Algorithms which will surface recommendations for workbooks and data sources that are trusted, highly used and contextually relevant to individual workflows. The software is expected to be available "later next year."
2016 - Splunk unveiled 300 machine learning algorithms for Operational Intelligence
Operational Intelligence platform provider Splunk has expanded in a significant way the early version of machine learning in its platform to deliver new services and capabilities. It has added machine learning to the core of its platform with a machine learning toolkit that can be installed as a free app on top of the Splunk Enterprise platform. This toolkit provides 300 algorithms for machine learning, 27 of which are pre-packaged out of the box and focus on such categories as clustering, recommendations, regression, classification and text analytics. Splunk has also enhanced the machine learning in its IT Service Intelligence (ITSI) platform it introduced this time last year.
2016 - Tableau acquired German startup HyPer to strike back at Zoomdata
BI giant Tableau has acquired HyPer, an early-stage German startup that has developed an advanced database technology. Tableau intends to incorporate the technology into its product set. Tableau is a business intelligence and analytics company, taking business data and helping companies make sense of it. The new HyPer database technology should provide a performance boost across Tableau products. Among the capabilities HyPer brings to Tableau include faster data analysis, regardless of the size of the data set; unifying the transactional and analysis systems (presumably to speed up those processes); richer analytics capabilities and support for structured or semi-structured data, which is increasingly important when processing Big Data sets.
2015 - Splunk acquired machine learning startup Caspida
Cloud monitoring provider Splunk has purchased Caspida, the startup that uses machine learning techniques to help identify cyber-secruity threats from inside and outside the company. Splunk helps companies deal with the onslaught of machine data coming from IT systems using data science techniques and automation to make sense of it. The company has a security product called Splunk App For Enterprise Security. With this purchase, Splunk is adding a new tool to its security arsenal to beef up the ability to locate threats using the machine learning techniques that Caspida has developed. It can apply data science to look more closely at the usage of every person using the system, even if they appear to be a valid user with proper credentials. Splunk’s general approach is a solution that is data science driven, that provides automated detection and uses machine learning to get smarter over time.