{"id":2473,"date":"2016-12-22T16:50:54","date_gmt":"2016-12-22T16:50:54","guid":{"rendered":"http:\/\/www.rsoftsolution.com\/blog\/xplenty-raises-another-4-million-to-help-you-integrate-all-your-data.html"},"modified":"2016-12-22T16:50:54","modified_gmt":"2016-12-22T16:50:54","slug":"xplenty-raises-another-4-million-to-help-you-integrate-all-your-data","status":"publish","type":"post","link":"https:\/\/www.rbsitsoftwaresolution.in\/blog\/xplenty-raises-another-4-million-to-help-you-integrate-all-your-data.html","title":{"rendered":"Xplenty raises another $4 million to help you integrate all your data"},"content":{"rendered":"


\n<\/p>\n

The internet has changed a lot over the last two decades, but many companies are still using legacy technologies to extract, transform and load their data into warehouses. One new entrant, Xplenty<\/a>, is hoping that its fresh approach, prioritizing cloud services, will provide\u00a0a solid foothold in the massive\u00a0market for data integration tools. Having grown to serve over 100 customers, Xplenty was able to secure an additional $4 million in financing from\u00a0Bain Capital Ventures<\/a>, Rembrandt Venture Partners<\/a> and True Ventures<\/a>.<\/p>\n

Yaniv Mor, founder of\u00a0Xplenty, explains that his product is differentiated from its sea of competitors\u00a0because it provides the flexibility for anyone to use it.\u00a0Every day, more and more non-technical\u00a0employees are getting exposure to basic business intelligence tasks like running SQL queries and using reporting tools like Tableau.\u00a0These\u00a0analysts can operate Xplenty\u2019s graphical interface without\u00a0being forced to grind out code, while traditional data scientists retain the freedom to insert their own special sauce.<\/p>\n

Continuing with a theme of usability,\u00a0the\u00a0team has included over 100 data source\u00a0integrations\u00a0with\u00a0relational databases, NoSQL tools like MongoDB and cloud services like\u00a0Salesforce,\u00a0Zendesk, Google Analytics and Google AdWords.<\/p>\n

Mor conceded that adding integrations is a never-ending game, but\u00a0Xplenty is storming out of the gates with a list that small and medium businesses, particularly\u00a0those in the tech sector that have embraced the cloud with open arms, will find appealing.<\/p>\n

\u201cThe trending use case is pulling\u00a0data from social channels, Facebook and Twitter ads,\u201d explains Mor. \u201cYou can pull data from sources using Xplenty, combine it with sales and usage data, integrate it in a warehouse and track how successful social campaigns are.\u201d<\/p>\n

Back in 2014, when the Tel Aviv-based startup\u00a0raised its first $3 million<\/a> from\u00a0Magma Venture Partners<\/a> and Waarde Capital<\/a>, who also participated in today\u2019s round, it counted just 15 customers.<\/p>\n

Though many things have changed since then,\u00a0the company\u2019s business model has remained resolute.\u00a0Rather than force customers to sacrifice on integrations or data volume, users simply pay for the compute power they use.<\/p>\n

Today\u2019s round comes at a healthy time. Large enterprises are doubling down on business intelligence, and companies like Xplenty are providing necessary background services. Mor\u00a0gives the example of AirAsia, a large airliner that found value in using Xplenty to streamline the transition of its operations to the cloud. New, North American investors, should help the company to build out sales and marketing infrastructure in the region.<\/p>\n

Separate from today\u2019s round, the company is also announcing its acquisition of Driven,\u00a0a startup specializing in cloud monitoring<\/a>.\u00a0Both Driven and Xplenty run on Hadoop, so the purchase should bring new\u00a0performance management functionality.<\/p>\n

<\/p>\n

Featured Image: John Lund\/Getty Images<\/small><\/p>\n

Article source: http:\/\/feedproxy.google.com\/~r\/techcrunchIt\/~3\/P3rp0GhsCM0\/<\/p>","protected":false},"excerpt":{"rendered":"

The internet has changed a lot over the last two decades, but many companies are still using legacy technologies to extract, transform and load their data into warehouses. One new <\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[19],"tags":[25],"class_list":["post-2473","post","type-post","status-publish","format-standard","hentry","category-enterprise-software","tag-enterprise"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t