DATA ARCHITECTURE

Software AG Acquires StreamSets

Software AG | March 01, 2022

Software AG
A leader in data integration for the modern data stack, StreamSets, has been acquired by Software AG. With this purchase, Software AG gains a significant and quickly growing SaaS and subscription company, with StreamSets' revenue rising at a four-year CAGR of more than 70% through 2021.

Customers can transport data smoothly and securely to and from any element of their digital backbone developed by Software AG's Digital Business portfolio across hybrid and multi-cloud environments, using StreamSets' enterprise-grade data integration platform. Companies can better unlock and extract value from data as it travels across on-premises applications, data streams, SaaS apps, legacy data stores, and cloud data platforms such as Amazon RedShift, Databricks, and Snowflake with this combination. In addition, smart applications and the linked organization will benefit from the integrated hybrid iPaaS platform, which will supply consolidated, conforming, and continuous data.

"This acquisition is a major milestone for Software AG. We're acquiring a fast-growing business in a cloud market growing 26%. Its technology and team will further differentiate our hybrid integration offering for customers and fully complement our strategy to deliver sustainable profitable growth. In Girish and the whole StreamSets team, we are welcoming outstanding colleagues with a track record of innovation and success. Their base in California also extends our presence in North America, and I am incredibly excited at the prospect of working with them to grow our business together."

 Sanjay Brahmawar, Software AG CEO
 

Girish Pancha, CEO of StreamSets, said, "We're delighted to be joining the Software AG family and working with Sanjay and team on this next phase of our growth journey. Our products are made for each other, and we see tremendous opportunity in the convergence of application integration and data integration to deliver smart applications. I have been admiring Software AG's transformation from afar, and together, I believe we will accelerate our growth trajectory by unlocking digital transformation for our customers."

Strategic rationale

The purchase is the first step in Software AG's M&A strategy, which aims to boost growth by gaining access to new segments of the €61 billion total addressable market. In this situation, Software AG will enter the cloud data integration section of the more significant data integration industry, which is expected to increase at a rate of 26% annually to $3.5 billion by 2025.

StreamSets' technology collects, consolidates, and transfers data from across this landscape as well as a wider variety of datasets, including edge and process data, where Software AG's current Digital Business portfolio links a hybrid application environment and integrates transaction data inside it. This necessitates smart data pipelines capable of understanding the structure and meaning of the data traveling through them and transporting it to a variety of hybrid destinations, including current cloud data warehouses, data lakes, messaging systems, and event hubs. In this approach, the StreamSets DataOps Platform provides business clients with current data pipeline technologies to handle a critical aspect of the hybrid integration difficulty.

In addition to a tremendous technological match, StreamSets' go-to-market strategy complements Software AG's. Both parties are aiming for the same business client segment and purchasing personas in the same IT purchasing region. The cultures of the two organizations are also quite complementary, blending the 'agile start-up' with the '50 years bold' global software corporation, but with a common focus on innovation, customer success, and growth.

Value creation

Software AG expects to contribute value to the purchase in three ways, in addition to benefiting from StreamSets' strong standalone growth. StreamSets' very complementary offering will first be sold to the group's own worldwide hybrid integration client base. Second, starting in the iPaaS domain, it will build collaborative solutions and use the organizations' go-to-market alignment to bring these product offerings to market as a single entity. In 2021, Software AG anticipated the synergy revenues generated by these first two levers to exceed StreamSets' standalone revenue.

Third, in addition to the top-line synergies, Software AG will use its operational scale to assist StreamSets is growing considerably more effectively, resulting in a significant boost in profitability while continuing to develop at a rapid pace.

These elements, when combined with the strategic fit and market environment, give the Group strong confidence in StreamSets' ability to maintain high double-digit revenue growth while also being non-IFRS EBITA margin accretive in the medium term.

Financial overview

Funding and purchase price

The purchase price includes €524 million in cash, plus a standard retention package agreed upon and paid to StreamSets top management, as well as transaction costs. Cash and the group's existing credit facilities will be used to fund the acquisition.

Further accelerating growth

Software AG's organic business is expected to fulfill its guideline for 2022 and objectives for 2023.

In addition to organic growth, the integration of StreamSets Software AG is expected to boost non-IFRS Group product sales by 12 to 16% in 2022. In 2022, the group anticipates a negative impact on non-IFRS EBITA of between -€17 million and -€13 million.

In 2023, Software AG anticipates the acquisition to contribute to organic growth. The group anticipates overall revenue to be well ahead of its €1 billion objectives with the addition of StreamSets to the organic business.

The impact of purchase price allocation is not included in these updated calculations. Following the closure, the group will offer another update.

The group will keep you informed about its underlying organic business performance.

Regulatory clearances are required for the acquisition. The transaction is anticipated to come to an end by the end of the first half of 2022, according to the group.

Spotlight

As consumers and customers, we are accustomed to easy, intuitive and superfast transactions driven by data. We all need the confidence and trust that digital transactions will work as expected. Enterprises are challenged with complexity because of the size of their organization when it comes to data backup and recovery. Some key

Spotlight

As consumers and customers, we are accustomed to easy, intuitive and superfast transactions driven by data. We all need the confidence and trust that digital transactions will work as expected. Enterprises are challenged with complexity because of the size of their organization when it comes to data backup and recovery. Some key

Related News

BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, BUSINESS STRATEGY

ThinkData Works Launches First-to-Market Automated Warehouse Discovery Solution for Rapid Data Sharing and Management

Businesswire | April 12, 2023

ThinkData Works Inc., a leading data catalog provider, is launching a first-to-market solution that will accelerate time to value for its adopters. Customers will be able to automatically gather metadata from their preferred warehouse environment, in addition to automatically scanning and virtualizing multiple datasets within minutes, enabling streamlined sharing and management of data. ThinkData Works' new warehouse discovery solution offers businesses a seamless way to access virtualized data and metadata from multiple warehouses in a single unified data catalog. This cutting-edge tool provides customers an efficient, centralized way to quickly locate, explore, and analyze critical business data from diverse sources. Accessing decentralized data from a single source of truth eliminates massive burdens that slow down innovation and hamper the productivity of business analysts and data science teams. As an added benefit, the risks and costs associated with data duplication and replication are minimized by managing access via ThinkData Works’ catalog platform. Furthermore, the warehouse discovery solution provides improved compliance and governance by maintaining data residency. Leveraging the solution's automated data virtualization and metadata harvesting capabilities, users can tap into data directly from warehouse storage platforms without re-ingestion or relocation. As a result, customers benefit from greater security and control over their data without compromising regulatory compliance. “The research is proven: juggling multiple data solutions is costly and ineffective. Modern organizations need fewer points of failure and more robust data management,” said Bryan Smith, Co-founder and Chief Executive Officer of ThinkData Works. “We’re thrilled that our new warehouse discovery solution will help our clients maximize the value of their data. This makes it easier and faster to get insights out of information, and that’s ideal.” “Introducing automated data virtualization and metadata harvesting capabilities to an already-powerful catalog gives business owners and their networks both data and metadata, plus the management and monitoring tools on our platform, in essentially one click,” adds Lewis Wynne-Jones, VP Product of ThinkData Works. “Beyond saving time and cost, it’s a massive win for data culture and democratization. Real-time connections to virtualized data also means enhanced decision-making — better access leads to better insights.” About ThinkData Works ThinkData Works unlocks the value of data to grow your business. Connect seamlessly to any source, drive critical insights, and deliver data while retaining visibility and control. Founded in 2014, ThinkData Works offers flexible data connections, an intuitive catalog interface, and secure tools to deliver data where it needs to be — inside or outside your organization. Purpose-built to handle the complexities of data variety, their unified cloud platform cuts overhead, fuels innovation, and drives revenue growth. For more, visit ThinkData Works on LinkedIn, Twitter, Instagram, and their website.

Read More

BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA SCIENCE

Tredence attains Databricks Elite Partner status, reinforcing commitment to cutting-edge industry Data and AI solutions on Lakehouse

Prnewswire | May 22, 2023

Tredence, the Data Science and AI Solutions company, has achieved Elite Partner status from Databricks. The recognition acknowledges Tredence's Data & AI Industry expertise and success leveraging innovative Brickbuilder solutions like ATOM.AI on the Databricks Lakehouse Platform, further establishing the company's commitment to driving data and AI transformation for clients. The partnership has delivered 5 industry-specific Brickbuilder Data and AI solutions that accelerate time to value for shared enterprise customers. "Tredence and Databricks' strategic partnership will fulfill the new enterprise mandate towards accelerated transformation, efficiency and optimization. Our industry accelerators built on the Databricks Lakehouse Platform equips enterprises with speed to scale and speed to value, unlocking the true potential of data," said Shashank Dubey, Co-founder and Chief Revenue Officer, Tredence. "With a keen focus on understanding the intricacies of a changing customer business and their day-to-day operations, our collaboration will bring unprecedented value in an uncertain economy." As an Elite Partner, Tredence gains exclusive access to additional resources and support from Databricks. This better enables the delivery of industry-leading solutions, which leverage the power of Databricks to provide clients with real-time insights and drive a sustained competitive advantage. It also amplifies Tredence's data science and analytics capabilities, enabling enterprises to dominate with Data and AI. "We are thrilled to be recognized as a Databricks Elite Partner," said Hari Natarajan, Executive Vice President, and Chief Alliance Officer Tredence. "Our partnership fosters Data and AI innovation at a faster pace to fulfill enterprise value realization within weeks. Tredence has successfully leveraged the Databricks Lakehouse Platform to solve the most complex transformation challenges for Fortune 100 clients, like Coca Cola & Casey's. Together with Databricks, we aim to raise the bar on lakehouse-powered Data and AI solutions to accelerate transformation and optimization for all our customers." Tredence, a 2022 Databricks Retail & CPG Partner of the Year, combines the advanced capabilities of the Databricks Lakehouse platform with industry AI/ML expertise to help enterprises accelerate their data and analytics modernization journey. Over the last two years, Tredence has deepened its partnership with Databricks and built a host of industry-specific solutions on the lakehouse including Retail.Atom.ai, Data Migration, Edge-AI, Predictive Supply Risk Management, On Shelf Availability and Sancus: Data Quality Management, adding to Databricks' coveted list of Brickbuilder Solutions. "Together with Tredence, we continue to enable the full potential of data for businesses and pave the way for revolutionary advancements in AI," said Jason McIntyre, Senior Director, Scale Ecosystem at Databricks. "Tredence has demonstrated incredible agility, speed to market and time to value with strategic enterprise customers, leveraging the power of the Databricks Lakehouse Platform, helping clients solve critical pain points and uncover actionable insights from their data." With the achievement of Databricks Elite Partner status, Tredence reinforces its authority as a leader in the Data and AI industry. Last December, Tredence announced its Series B funding round of $175 million from Advent International. The fresh capital will help Tredence strengthen its vertical and domain expertise, IP and accelerator repository, channel partner development and operational excellence. About Tredence Tredence is a global data science and AI solutions provider focused on solving the last mile problem in AI. The 'last mile' is the gap between insight creation and value realization. Tredence is a Great Place to Work-Certified and Winner of 2022 Databricks Retail & CPG Partner of the Year. Tredence is 2,000-plus employees strong with offices in San Jose, Foster City, Chicago, London, Toronto and Bangalore, with the largest companies in retail, CPG, hi-tech, telecom, healthcare, travel, and industrials as clients.

Read More

BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA SCIENCE

Gigasheet Launches New API To Power Collaboration Between Business and Data Teams

Prnewswire | April 21, 2023

Gigasheet, the big data analytics startup, has announced the launch of its new enterprise API, enabling programmatic access to the platform's big data spreadsheets. Gigasheet's spreadsheet-like interface is second nature to most business users, and the web-based application offers many 'one click' solutions to common data problems. These capabilities can now be extended, integrated, and automated via the new enterprise API. Data Teams are using the new API to automate repetitive tasks, schedule imports and exports, and deliver large volumes of data to non-technical users for exploration in an intuitive interface. Data can be pushed into Gigasheet from databases, data warehouses, or enterprise applications. The API also enables business users to help with data preparation before running data pipelines or to inspect data quality throughout its lifecycle. "From day one we have focused on helping empower people to answer questions about big data. The existing tools used to work with enterprise data are increasingly sophisticated, but these tools require users to know SQL or Python," says Gigasheet CEO and Co-founder Jason Hines. "Data engineers know about data availability and quality, while the business users have the context. This causes a lot of back and forth, and too often it's inefficient for both teams." With more than 30,000 users on the company's platform, it's clear users love Gigasheet's data transformations and operations. The user interface is highly performant on large data sets, and the speed of complex operations far exceeds that of other tools. The usual complexity of dealing with big data is hidden from the user, allowing them to focus on analysis. Gigasheet's API helps data teams by enabling business users to contribute to the company's data preparation and analysis efforts. Their requirements can be directly embedded into data pipelines, without burdening internal IT or data teams for training and support. "Gigasheet makes it so easy to work with huge sales and marketing data sets. We're excited to see they have added an API for more seamless integration into workflows," said Mark Feldman, CEO of RevenueBase, a B2B customer intelligence company. Feldman says the company has been using the product for about a year. The company's API is also playing a role in data preparation through their partnership with Tamr. Led by seasoned data veteran Andy Palmer, Tamr's Data Mastering technology helps enterprises transform their data into an asset and a competitive advantage. Palmer says that "The Gigasheet API is a gamechanger. Gigasheet's spreadsheet interface makes it easy for any data citizen to profile and clean up raw files. With the API, we can now embed Gigasheet into pipelines to help our customers get to insights faster." About Gigasheet Gigasheet is a cloud-based big data spreadsheet that allows users to work with large and complex data sets in a simple and intuitive manner. With powerful data preparation and analysis features, Gigasheet helps businesses of all sizes make informed decisions based on data.

Read More