With Google’s announcement yesterday that it completed the acquisition of the Looker — as covered by Tony Baer-and it is, of course, for us to consider at the time of consolidation in the Business Intelligence (BI) space, which the Vendor now has the acquisition of Table. As we have mentioned earlier, there have been no fewer than five of the BI acquisition deals recently, all of which have been published in the area of in less than two and a half months.
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But while these offerings stole the headlines (including ours), there are a variety of different offers recently received. For example, in the data management space DataRobot acquired self-service data preparation for the pioneer Paxata; Dell Technologies Boomi unity is obtained in the data preparation and data catalog for the vendor Unifi Softwareand in less than a month ago Hitachi Vantara – what it includes and the Pentaho BI and data integration suites — has announced that it’s acquired, the data catalog is a player Water Data.
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You can also read: Boomi acquired Unifi Software, and is committed to the group, the data catalog, and the discovery and the integration platform.
A decade o’ deals
In fact, if we think that we can go back over the last ten years, so a lot of companies that seemed to be permanent fixtures in the data analysis in the world will be gone. That includes the Hadoop pioneers, Hortonworks, and Folder; data warehouse (dw) player ParAccel, whose technology forms the basis for the Amazon Redshift); big data analytics, pioneers, Platfora and ClearStory Data, Mobile BI specialist Roambi, NoSQL grand theft auto Cloudant; and a change-data-capture-driver Attunity.
In preparation for the writing of this post, I’ve created a small CSV file to capture all the special offers in fewer than ten years, and that I could come up with, in a structured way, so that I could analyze it. Although it is probably not complete, the list is extensive, consisting of 43 offers, from 2011 to the present day. I then loaded the CSV file in Microsoft The BI-Power a number of simple visualization of the data, and to understand how the acquisitions are in different technology classes has increased over the past 10 years.
Business intelligence and data warehouse (dw)
Since I have been a BI-product of that, I’ve been to the BI acquisition. I have found that having a consistent with the transactions that go on every year, from 2014 to this year. 2019, and for the first two months of this year, five deals have already been discussed there, while the other years had only one or two deals per item. All these come on top of a number of major BI acquisitions in the prior year. In a short period of time between 2006 and 2008, IBM bought Cognos, Oracle scooped up Hyperion, SAP picked up business objects and Microsoft picked up Obtain. B, BI of the deals appear to be relatively constant in time, but they do have distinct peaks.
The data warehouse (dw) for the time being, it is a lot more spread out over the ten years, that saw the Actian‘s acquisition of ParAccel, and Advance/Newhouse, in a deal to buy the 1010data. As seen in the previous ten years (up to 2010) saw, Vertica, Netezza, Greenplum and DATAllegro are getting gobbled up by HP, IBM, EMC, and Microsoft, respectively, may be, however, it’s not much more to buy. In the meantime, the next decade may be a few deals of his own.
AI and Big Data …
Next up in our ‘Big Data’ acquisitions, in which there is a real bumper crop in between 2014 to 2016, to be followed by a drought year in 2017 and 2018. The drought ended in the previous year, when there are a few new deals concluded. The mid-decade of the deals involved what is a tactical purchase, including Hortonworks ‘ acquisition of XA Secure, and Clouderaof Gazzang. The more recent activity that involved a lot more of the fundamental conventions, including those from Hortonworks-Cloudera-merger, and HPE may be more of an anti-climax, asset management, buy-out Folder. One of the interesting sub-category here, with their own mini-streak of deals are going to ‘Big Data’ storage, and it infrastructure. This run also took place between 2014-2016 differs, as we saw with Rainstor, Cleversafe, and Altiscale, get swallowed up by Teradata, IBM, and SAP.
In the world of AI, we have already seen at least one deal per year is after 2015, such as Microsoft’s ” pick-up-Revolution-Analytics, Google’s acquisition of Kaggle and Tibco, on-boarding, Alpine Information. So a lot of the new AI companies to have emerged recently is that we have a lot of new AI’s activity in the next decade.
None of the acquiring or acquired business to be a success as the customers will be able to capture, modify, and control of their personal data. Maybe that’s the reason why we have seen, at the very least seven data management offerings for the past two years. In addition to the three data pipeline and data catalog for the offers mentioned above, we have recently seen Talend buy a Plug; Qlik the same thing with both Attunity and the Stage of the Data; and Collibra the purchase of data lineage, the seller SQLdep.
And, with so many new companies in the space, on the one hand, for example, the data pipeline to players Matillion, The rise and Equalumand, the data catalog is a participant The data is there.The world), as well as the tendency of the AI and the BI-vendors experience of data management capabilities into their platforms, you can bet that we will see more offerings in this arena as well.
The data (for supplier), life cycle
The details of the eco-system, innovation to flourish, it is that the venture capital flows, and more companies sprout up to productize it and bring the new technology to the market. In the end, the major players of enterprise software are well-established companies, that is, public cloud providers are now buying some of the companies and/or implementation of competitive features on their own, it is turning to innovative technologies and materials. This leads to a consolidation of the waves, which can lead to bouts of depression, where the giants rest on their laurels and stop innovating. Then the whole process repeats itself.
Watching all of this play out repeatedly, it can be exhausting. But, really, it’s been educational for me. The students of tech M&A cycles have been in a better position to assess and manage the platform at risk. The understanding of the M&A trends and trends helps to predict what suppliers are on board, from product innovation to take their established platforms, which vendors have the stamina to remain independent and those who are eligible for adoption. Have a good instinct for the M&A will help, eventually, tech professionals, to identify and exploit new innovations, on the one hand, and a forecast will be a platform to a disturbance on the other. From there, it’s the right technology, personnel, and training investments can be carried out much more effectively.