“4C Decision strives to provide business value for our customers by applying the most cutting edge technologies for big data, allowing them to foresee their next business decisions. We see ODPi as a vital component to the big data ecosystem that will enable the future of business. We are excited to improve our client solutions by leveraging standardized ODPi components.”

Cupid Chan, managing partner at 4C Decision

2017-01-04T10:45:42+00:00

Cupid Chan, managing partner at 4C Decision

“4C Decision strives to provide business value for our customers by applying the most cutting edge technologies for big data, allowing them to foresee their next business decisions. We see ODPi as a vital component to the big data ecosystem that will enable the future of business. We are excited to improve our client solutions by leveraging standardized ODPi components.”
"With its broader, flexible approach to standardizing the Hadoop stack, ODPi is particularly attractive to smaller companies, such as Ampool. Instead of spending testing/qualification cycles across different distributions and respective versions, the reference implementation would really help reduce both the effort and risk of Hadoop integration for us."

Milind Bhandarkar, Ph.D, founder and CEO, Ampool

2017-01-04T10:46:05+00:00

Milind Bhandarkar, Ph.D, founder and CEO, Ampool

"With its broader, flexible approach to standardizing the Hadoop stack, ODPi is particularly attractive to smaller companies, such as Ampool. Instead of spending testing/qualification cycles across different distributions and respective versions, the reference implementation would really help reduce both the effort and risk of Hadoop integration for us."
“As a small company running Apache Hadoop distributions and looking to expand in the Russian market, becoming ODPi Runtime compliant will help us provide current and future customers reassurance that their developing and testing applications will work across multiple platform providers.”

Dmitry Komarov, head of sales and marketing at ArenaData

2017-01-04T10:46:28+00:00

Dmitry Komarov, head of sales and marketing at ArenaData

“As a small company running Apache Hadoop distributions and looking to expand in the Russian market, becoming ODPi Runtime compliant will help us provide current and future customers reassurance that their developing and testing applications will work across multiple platform providers.”
“Enterprises have varying big data needs that require flexible and interoperable platform components. Becoming a member of ODPi will allow us to better maximize data center efficiency for Hadoop with interoperability for enterprise-grade deployments.”

Gene Banman, CEO of DriveScale

2017-01-04T10:46:53+00:00

Gene Banman, CEO of DriveScale

“Enterprises have varying big data needs that require flexible and interoperable platform components. Becoming a member of ODPi will allow us to better maximize data center efficiency for Hadoop with interoperability for enterprise-grade deployments.”
“The compliance of various distributions and application vendors on the ODPi runtime is a milestone. It provides standardization and portability for developers as well as ISVs and cloud administrators. Ultimately the goal is to provide increased efficiency and lower maintenance impact. Our customers can expect much more flexibility in their deployments and choice of solutions.”

Smiti Sharma,  Product Lead, Virtustream Cloud Services, EMC

2017-01-04T10:47:17+00:00

Smiti Sharma,  Product Lead, Virtustream Cloud Services, EMC

“The compliance of various distributions and application vendors on the ODPi runtime is a milestone. It provides standardization and portability for developers as well as ISVs and cloud administrators. Ultimately the goal is to provide increased efficiency and lower maintenance impact. Our customers can expect much more flexibility in their deployments and choice of solutions.”
“At Hortonworks, we aim to speed Hadoop adoption through ecosystem interoperability rooted in open source so enterprise customers can reap the benefits of increased choice with more modern data applications and solutions. As a founding member, we are pleased to see ODPi’s first release become available to the ecosystem and look forward to our continued involvement to accelerate the adoption of modern data applications.”

Alan Gates, co-founder, Hortonworks

2017-01-04T10:47:42+00:00

Alan Gates, co-founder, Hortonworks

“At Hortonworks, we aim to speed Hadoop adoption through ecosystem interoperability rooted in open source so enterprise customers can reap the benefits of increased choice with more modern data applications and solutions. As a founding member, we are pleased to see ODPi’s first release become available to the ecosystem and look forward to our continued involvement to accelerate the adoption of modern data applications.”
“ODPi is providing a common specification to develop big data apps, opening up choices for developers by enabling interoperability across different distribution and application offerings. Having this platform to count on, starting with a small, specific and consistent packaging model that lives within the ecosystem, is extremely valuable to application developers. This will be a key differentiator for IBM to serve customers, which is why we have become ODPi Runtime compliant.”

Ritika Gunnar, Vice President of Offerings, IBM Analytics

2017-01-04T10:49:26+00:00

Ritika Gunnar, Vice President of Offerings, IBM Analytics

“ODPi is providing a common specification to develop big data apps, opening up choices for developers by enabling interoperability across different distribution and application offerings. Having this platform to count on, starting with a small, specific and consistent packaging model that lives within the ecosystem, is extremely valuable to application developers. This will be a key differentiator for IBM to serve customers, which is why we have become ODPi Runtime compliant.”
“Infosys is focused on growing the adoption of big data technologies in the enterprise by making significant improvements in areas like development and deployment tools, performance and security. By becoming ODPi Runtime compliant, we are providing a compatible solution to our enterprise clients in Banking, Aeronautics and Retail.”

Navin Budhiraja, SVP, Head of Architecture and Technology at Infosys Limited

2017-01-04T10:49:47+00:00

Navin Budhiraja, SVP, Head of Architecture and Technology at Infosys Limited

“Infosys is focused on growing the adoption of big data technologies in the enterprise by making significant improvements in areas like development and deployment tools, performance and security. By becoming ODPi Runtime compliant, we are providing a compatible solution to our enterprise clients in Banking, Aeronautics and Retail.”
"Linaro recognizes the importance of ODPi's work to promote and advance the state of Apache Hadoop and Big Data technologies for the enterprise while minimizing fragmentation and redundant effort. Linaro's own focus is similar to this in developing open source software for the ARM ecosystem and it makes perfect sense that where these two areas intersect that Linaro and ODPi should work together to ensure ARM is fully supported and that fragmentation is minimized across the industry."

Martin Stadtler, director of the Linaro Enterprise Group (LEG)

2017-01-04T10:50:09+00:00

Martin Stadtler, director of the Linaro Enterprise Group (LEG)

"Linaro recognizes the importance of ODPi's work to promote and advance the state of Apache Hadoop and Big Data technologies for the enterprise while minimizing fragmentation and redundant effort. Linaro's own focus is similar to this in developing open source software for the ARM ecosystem and it makes perfect sense that where these two areas intersect that Linaro and ODPi should work together to ensure ARM is fully supported and that fragmentation is minimized across the industry."
“Complying with the latest version of the ODPi specification simplifies how Apache HAWQ can query the vast quantities of data in the popular Apache Hive format, and allows us to seamlessly integrate configuration and administration through Apache Ambari. ODPi is allowing us to roll out compatibility features with the Apache Hadoop ecosystem at a much faster pace.”

Jacque Istok, Head of Data Engineering, Pivotal Software

2017-01-04T10:50:35+00:00

Jacque Istok, Head of Data Engineering, Pivotal Software

“Complying with the latest version of the ODPi specification simplifies how Apache HAWQ can query the vast quantities of data in the popular Apache Hive format, and allows us to seamlessly integrate configuration and administration through Apache Ambari. ODPi is allowing us to roll out compatibility features with the Apache Hadoop ecosystem at a much faster pace.”
“Redoop believes that ODPi’s mission of creating a more open and interoperable ecosystem for current and potential Apache Hadoop users is meaningful to the entire big data community. We look forward to joining the initiative and collaborating with its members for the benefit of our customers.”

XiaoJun Tong, founder of Redoop

2017-01-04T10:51:02+00:00

XiaoJun Tong, founder of Redoop

“Redoop believes that ODPi’s mission of creating a more open and interoperable ecosystem for current and potential Apache Hadoop users is meaningful to the entire big data community. We look forward to joining the initiative and collaborating with its members for the benefit of our customers.”
“SAS is pleased to announce that we are the first software vendor to achieve the distinction of ODPi Interoperable. By declaring that SAS interfaces with Apache Hadoop in demonstrable, standard ways, we can reduce our customers’ risk, simplify testing complexity and speed time to value for anyone building or deploying SAS applications.”

Craig Rubendall, Vice President of Platform R&D at SAS and ODPi board member

2017-01-04T10:51:26+00:00

Craig Rubendall, Vice President of Platform R&D at SAS and ODPi board member

“SAS is pleased to announce that we are the first software vendor to achieve the distinction of ODPi Interoperable. By declaring that SAS interfaces with Apache Hadoop in demonstrable, standard ways, we can reduce our customers’ risk, simplify testing complexity and speed time to value for anyone building or deploying SAS applications.”
“We are thrilled to be able to provide our customers with Syncsort DMX-h 9.0 as an ODPi Interoperable solution. Interoperability helps to streamline the development and testing process, which, in turn allows us to focus our resources on supporting our customers’ big data requirements.”

Arnie Farrelly, Vice President of Big Data Global Product Support and Services at Syncsort

2017-01-04T10:51:51+00:00

Arnie Farrelly, Vice President of Big Data Global Product Support and Services at Syncsort

“We are thrilled to be able to provide our customers with Syncsort DMX-h 9.0 as an ODPi Interoperable solution. Interoperability helps to streamline the development and testing process, which, in turn allows us to focus our resources on supporting our customers’ big data requirements.”
“ODPi has eliminated significant risk for both developers and end users, by providing a set of standards that makes it possible for an ecosystem of interoperable, enterprise class big data applications to evolve and flourish. WANdisco (LSE:WAND) is extremely pleased to have achieved ODPi Interoperable compliance for Fusion 2.9 and become part of that ecosystem. Our patented replication technology reduces risk even further, by ensuring ODPi Compliant Hadoop Platforms deliver continuous availability and performance, benefitting every application deployed on them.”

Jim Campigli, COO and Co-Founder at WANdisco

2017-01-04T10:52:13+00:00

Jim Campigli, COO and Co-Founder at WANdisco

“ODPi has eliminated significant risk for both developers and end users, by providing a set of standards that makes it possible for an ecosystem of interoperable, enterprise class big data applications to evolve and flourish. WANdisco (LSE:WAND) is extremely pleased to have achieved ODPi Interoperable compliance for Fusion 2.9 and become part of that ecosystem. Our patented replication technology reduces risk even further, by ensuring ODPi Compliant Hadoop Platforms deliver continuous availability and performance, benefitting every application deployed on them.”
“Customer-driven requirements resulted in the creation of DiP(Data Ingestion Platform), which is based on Hadoop and leverages many open source technologies like Kafka, Spark Streaming, Storm and components like HDFS, Hive, Zeppelin and HBase. We are focused on ODPi Compliant offerings because it provides us with a platform to test and deploy DiP on multiple Hadoop versions with an efficient testing process. DiP is a co-dev opportunity, so ODPi gives a structure to test the tool based on customer investment and use case.”

Neeraj Sabharwal, Director Cloud and Big Data at Xavient Information System

2017-01-04T10:52:49+00:00

Neeraj Sabharwal, Director Cloud and Big Data at Xavient Information System

“Customer-driven requirements resulted in the creation of DiP(Data Ingestion Platform), which is based on Hadoop and leverages many open source technologies like Kafka, Spark Streaming, Storm and components like HDFS, Hive, Zeppelin and HBase. We are focused on ODPi Compliant offerings because it provides us with a platform to test and deploy DiP on multiple Hadoop versions with an efficient testing process. DiP is a co-dev opportunity, so ODPi gives a structure to test the tool based on customer investment and use case.”