Teradata is #8 in Top 23 Big Data platforms
Last updated: December 23, 2019
Teradata Aster features Teradata Aster SQL-GR analytic engine which is a native graph processing engine for Graph Analysis across big data sets. Using this next generation analytic engine, organizations can easily solve complex business problems such as social network/influencer analysis, fraud detection, supply chain management, network analysis and threat detection, and money laundering.
Positions in ratings
#8 in Top 23 Big Data platforms
The best alternatives to Teradata are: Hadoop, Snowflake, Amazon Redshift, Google BigQuery, Vertica
Latest news about Teradata
2015. Teradata acquired app marketing platform Appoxee
Analytics company Teradata acquired (for about $20 million) Appoxee, an Israeli push-messaging startup aimed at publishers and developers that want to increase user engagement in their apps. Appoxee’s business addresses one of the bigger issues in the world of apps today: keeping users coming back to and using your app, in the face of those users downloading yet another new app instead, always moving on to the next big thing. Appoxee gives developers a way to addresses this using push messages — sending messages to you to remind you to finish playing a game, or to send you info about an app update, or coupons for goods in the app. It also has a platform to help build these push messaging campaigns.
2014. Teradata acquired data-archiving service RainStor
Data warehouse vendor Teradata continues to buy its way into Big Data leadership. It has made its fourth acquisition of the year, announcing on Wednesday it has bought data-archiving specialist RainStor for an undisclosed amount. RainStor builds an archival system that can sit on top of Hadoop and, it claims, compress data volumes by up to 95 percent. Taken as a whole with the company’s other acquisitions, including Hadapt and Think Big Analytics, it’s pretty clear that Teradata wants to play a bigger role in companies’ big data environments than just that of a data warehouse and business intelligence provider.
2014. MapR partners with Teradata to reach enterprise customers
The last independent Hadoop provider MapR and big data analytics provider Teradata announced that they will work together to integrate and co-develop their joint products and to create a unified go to market strategy. Teradata will also be able to resell MapR software, professional services, and provide customer support. In other words, Teradata will be the face of MapR to enterprises who use, or want to use, both technologies. Until recently Teradata partnered most closely with Hortonworks, but now it’s sharing love and its analytic market leadership with all three providers. Similarly, earlier this week, HP announced Vertica for SQL on Hadoop, which allows users to access and explore data residing in any of the three primary Hadoop distros — Hortonworks, MapR, Cloudera.
2014. Teradata is launching its own Hadoop cloud service
Data warehouse provider Teradata announced the company’s Hadoop cloud service as well as a new, tight partnership with Cloudera. For a couple of years Teradata has been disputing — that the open source Hadoop platform and its expanding set of capabilities could pose a risk to Teradata’s multibillion-dollar business of selling expensive, proprietary database software and appliances. Whether or not Teradata is actually worried, it’s doing everything it can to embrace Hadoop and roll it into the Teradata sales cycle. The Cloudera partnership is probably the biggest of Teradata’s latest moves, as it loosens, to some degree, a very tight partnership Teradata already has in place with Cloudera rival Hortonworks.
2014. Teradata buys big data consulting firm Think Big Analytics
Data warehouse vendor Teradata decided to extend its big data competence by acquiring consulting firm Think Big Analytics, which specializes in helping clients deploy open source technologies and build analytics applications. Think Big is deploying very large, complex infrastructure and Teradata, when it’s involved, is just one component of it — albeit an often very large (and very expensive) one. Meanwhile, competitors such as Pivotal, IBM and Oracle are pushing entire collections of data-analytics systems, and even upstarts such as Cloudera are stepping on Teradata’s turf with data warehouse options that are less capable but also offer lower costs for higher storage volumes.
2014. Teradata acquired Hadapt, Revelytix for Big Data boost
Teradata started the consolidation of the big data market by buying two notable vendors in the big data arena. Hadapt provides an all-in-one analytics environment designed to handle analysis across data in Hadoop as well as conventional structured data in SQL environments. And Revelytix has evolved its data-management suite, now called Loom, to help Hadoop users tame data complexity by discovering data, generating metadata, and tracking data lineage. Teradata said the Revelytix deal brings data-management and data-prep tools for Hadoop that it lacked, while the Revelytix team joining Teradata has deep metadata-management expertise.