I've had several conversations lately where, at some point, I get the question "which vendors provide data product capabilities?"  It only took me hearing this question 5 or 6 times before I thought that perhaps I should create a list of embedded analytic providers.

My hope is that this will provide a good starting point for product leaders trying to select a vendor for their analytic application. 

Note: this isn't a list of recommended vendors or platforms, it's just... a list. If I've left out a vendor that you feel should be included, please let me know.


The Embedded Analytic/Data Product Vendor List


Birst (www.birst.com)

Birst is a powerful platform that offers it all, from data extraction to visualization to management. It has robust data management tools that allow teams to combine and control data from almost any sources. Birst was recently acquired by Infor, an enterprise software vendor.

Exago (www.exagoinc.com)

Exago is a platform that focuses almost exclusively on embedded analytics and it shows. They've got the ability operate in the cloud or on-premise, operate on data wherever it resides, and they offer the functionality that makes it easy for product teams to field and maintain data apps. I love their extensibility and ability to tailor functionnality to fit just about any possible workflow. Add in that you can easily extend hooks into core applications and allow users to take action on what they are seeing and you've opened a new world of data product possiblilities.

GoodData (www.gooddata.com)

GoodData was a subject of our “Vendors You Should Know” review for August 2017. They offer fully-managed cloud-based analytics with a great support team to assist. A key differentiator here is the “Insights Platform” that uses machine learning to deliver automated insights alongside visualizations. GoodData also recently introduced "Spectrum" — an entirely new user interface experience that makes for amazing embedded analytics. Product teams now use a React-based framework to embed any of GoodData's visualizations — or any of the thousands of available React components — seamlessly into applications for complete control of the experience.

Incorta (www.incorta.com)

Incorta is a new breed of analytic platform that allows product teams to create data products without the complexities of building those labor-intensive, fragile ETL processes. It can connect to just about any data source, prepare your schemas, and get you to building & embedding dashboards in less than 15 minutes. No joke — I watched them connect, load 25 million records, build a dashboard an embed it in 14 minutes flat. Incorta brings a whole new level of very welcome agility to analytic platforms and product teams.

Izenda (www.izenda.com)

Izenda is a platform purpose-built for data products. Unlike with some other analytic platforms, the focus is completely on data products. As a result, they’ve got the functionality that product leaders require, such as multiple embedding technologies, full white-labeling, built-in utilization analytics, and a complete management ecosystem. You can learn more in our "Vendors You Should Know" write-up here.

JuiceBox (www.juiceanalytics.com)

Juice is unique because rather than a “do it yourself” platform, they build data products for you. As a result, you get data products that are tightly integrated with your core product and look gorgeous. These folks live and breathe data products so they’re very likely to understand exactly how to make you successful.

Jinfonet JReport (www.jinfonet.com)

Jionfonet's JReport is a highly flexible soution for data product builders. It allows product teams to deploy a customized analytical application on top of any data source and into any underlying architecture.

Logi Analytics (www.logianalytics.com)

Logi has been a pioneer in the embedded analytic space with good reason. The platform offering is highly customizable and addresses most, if not all, of the key needs of product owners. The product line has been revamped in recent years and is worth reviewing.

Looker (www.looker.com)

Looker was a subject of our “Vendors You Should Know” review for August 2017. By using modern technology and acting on your data in place, Looker can get data products up and running rapidly. They’ve got an excellent management ecosystem that allows teams to deploy (or rollback) functionality with ease. As a bonus, the Looker technology makes it extremely easy to create tiers (like basic, plus, or pro) for your users.

Microsoft PowerBI (powerbi.microsoft.com)

Unsurprisingly, PowerBI has made a huge impact in the embedded analytic space. Since it’s launch, the MS team has been adding functionality at a breakneck pace. My big concerns with this one are focus (vs other parts of a large product portfolio) and an evolving pricing model.

Mode Analytics (www.modeanalytics.com)

Mode Analytics offers a unique combination of power to create embedded analytic data products that work exactly like you want with the ease of use required by business users. It's a blend of features that you normally wouldn't find in a single platform. As a result, it can serve the needs of the most power-hungry data teams and product owners wanting to craft a curated experience for end-users.

Pentaho (www.pentaho.com)

Pentaho, now part of Hitachi, falls more into the “toolkit for building analytics” space. An excellent option for teams that want to build highly-customized data products without building completely from scratch, Pentaho may require more resources both for deployment and management than other solutions.

Periscope Data (www.periscopedata.com)

While Periscope Data may have started more as a tool for data analysts to use inside the business, it certainly hasn't remained that way. More recent releases have included features that make the platform worth serious consideration for data product teams. Periscope is an interesting hybrid of visual dashboard design blended with SQL query construction that allows teams to see exactly what's happening with the data. Periscope was a subject of one of our “Vendors You Should Know” reviews recently.

Qlik (www.qlik.com)

Qlik has been a major player in the analytic space for many years now and they offer embedded analytics as well as enterprise capabilities. Although I’ve seen large Qlik deployments of enterprise analytics, I can’t speak to their embedded capabilities.

Tableau (www.tableau.com)

Tableau is possibly the best known platform in the analytics space, but most people think of them as a desktop analysis tool. In fact, Tableau has offered embedded analytic capabilities for several years now. I don’t feel that their management ecosystems is quite as robust as some other solutions, but the visualizations are stunning.

ThoughtSpot (www.thoughtspot.com)

ThoughSpot has an interesting take on the analytics apace, encouraging users to search, rather than manipulate charts and tables directly. They offer beautiful-looking visuals coupled with powerful search trchnology that allows a user to receive analytical insights by typing simple questions. Product teams can embed dashbaords, charts, or search capabilities into their product. This could be a very interesting option for data product teams looking to add "ad hoc" analytics into a data product without requiring users to build charts themselves.

Zoomdata (www.zoomdata.com)

Zoomdata excels in handling large volumes of streaming data. Rather than moving the data to an analytic-ready storage location, Zoomdata connects to the data where it resides and provides analytics that “sharpen” as more data flows in. Zoomdata offers a variety of options for the product builder such as robust embedding methods (APIs, components), deployment to the cloud or on-premise, and a web-based visualization designer. Zoomdata is worth checking out if you have large data volumes but still need real-time analytics in your data product.