Big Data Analytics software

2023. Pryon raises $100M to index and analyze enterprise data



Pryon, a startup developing an AI-powered platform to look for insights in — and surface answers from — enterprise knowledge bases, has raised $100M. It's important to note that Pryon distinguishes itself from being a voice assistant; instead, it functions as a "knowledge fabric." This innovative platform can seamlessly interact with third-party chatbots or channels, processing various types of data, including audio, images, text, and video. It then transforms this data into a format that is both searchable and usable by any connected front-end interface. Comparable to Amazon's Kendra, Pryon employs connectors to bring together and index information from previously disparate sources, particularly from databases. However, Pryon stands out by achieving up to twice the accuracy of Kendra, being capable of ingesting data up to ten times faster, and having the ability to index billions of documents, in contrast to Kendra's limitation of 100,000 documents.


2022. Operational Analytics startup Census has raised $60M



Census, a startup dedicated to constructing a data layer positioned between a company's operational activities and its data warehouse, has successfully secured $60 million in a Series B funding round. The inception of this startup stemmed from the idea of creating a solution that would empower predominantly non-technical users to formulate queries that were meaningful to them and obtain data that would facilitate their job performance, eliminating the need for intermediaries in data access. Initially focused on product data, Census gradually expanded its scope to cater to various departments, including marketing, sales, and finance, who recognized the tool's significance in extracting valuable insights from company data sources such as Amazon Redshift, Snowflake, Databricks, and others. Additionally, the company seamlessly integrates with a diverse range of business data sources such as Airtable, Salesforce, Marketo, and Zendesk.

2021. Hex snags $16M to keep building collaborative data workspace



Data has become ubiquitous within organizations, and employees are increasingly seeking ways to leverage it to enhance business outcomes. Hex, a startup dedicated to simplifying how data scientists and other employees gather and collaborate on data, has recently announced a $16 million Series A funding round. Traditionally, data scientists utilize online notebooks like Jupyter to work with their data, enabling them to construct SQL queries and incorporate Python code to organize and visualize it. Hex takes this concept further by developing an advanced notebook that facilitates seamless data retrieval from platforms such as Snowflake or Amazon Redshift. Users can easily format and manipulate the data, and then leverage the notebook's drag-and-drop functionality to swiftly create interactive components like charts or datasets. This streamlined process empowers users to rapidly build customized applications that can be shared with others, fostering efficient collaboration and knowledge sharing within the organization.


2021. Firebolt raises $127M for its new approach to cheaper and more efficient big data analytics



Snowflake revolutionized the realm of data warehousing for numerous companies, opening up new possibilities. Now, a startup aiming to disrupt the disruptor, Firebolt, has successfully secured $127 million in Series B funding. Firebolt asserts that its performance surpasses other data warehouses by up to 182 times, thanks to its SQL-based system. This system incorporates groundbreaking techniques in compression and data parsing, derived from academic research that had not yet been implemented elsewhere. By employing these innovative methods, Firebolt enables data to be handled more efficiently, resulting in lighter data footprints. Consequently, data lakes can seamlessly integrate with a broader data ecosystem, significantly reducing the cloud capacity requirements and lowering costs for organizations.


2021. Hex lands $5.5M seed to help data scientists share data across the company



As companies increase their reliance on data and expand their data science teams, the challenge of sharing that data persists. The current methods often involve tedious tasks such as copying, pasting, and manual work. Hex, a new startup, aims to address this challenge by offering a streamlined and elegant solution to distribute data seamlessly across the entire organization. Today, the company announced a seed investment of $5.5 million and unveiled plans to make its product more widely available by transitioning from a limited beta phase. Most data scientists utilize online notebooks like Jupyter to work with their data, where they can build SQL queries and use Python code to organize and visualize it. What sets Hex apart is its advanced notebook interface, which allows users to effortlessly retrieve data sets from sources like Snowflake or Amazon Redshift. Users can easily manipulate and format the data, and with a simple drag-and-drop functionality, they can swiftly create interactive components such as charts or data sets. This enables the rapid development of customized applications that can be easily shared with others throughout the organization.


2020. InfoSum raises $15.1M for its privacy-first, federated approach to big data analytics



InfoSum, a London-based startup, has secured $15.1 million in funding for its innovative data-sharing solution. InfoSum has developed a unique approach that enables organizations to share data without actually passing it on to one another. This is achieved through a federated, decentralized architecture that utilizes mathematical representations to organize, interpret, and query the data. While initially targeting the marketing technology sector, InfoSum's solution has broad applications across multiple industries. The decision to focus on martech stemmed from the founder's previous experience at DataSift, although the company plans to expand into other verticals in the future.


2020. Quantexa raises $64.7M to bring big data intelligence to risk analysis and investigations



Quantexa, the company behind the development of a machine learning platform called "Contextual Decision Intelligence" (CDI), has secured $64.7 million in a Series C funding round. CDI utilizes advanced analytics to analyze diverse data points, enabling improved identification of suspicious activities and the creation of comprehensive customer profiles for businesses. Quantexa initially gained traction by providing solutions to major banks and financial institutions. Moving forward, the company plans to further enhance its tools for the financial services sector while also expanding into two emerging markets: insurance and government/public sector organizations.


2018. MariaDB acquires big data analytics company MammothDB



MariaDB, which is recognized as a convenient substitute for the widely used MySQL database, is evidently aiming to capture a larger market share and intensify competition against major players such as Oracle and Microsoft SQL Server. In a strategic move, the company has recently acquired MammothDB, a Bulgarian-based service specializing in big data business analytics. MariaDB AX, an existing analytics and data warehousing system offered by MariaDB, will benefit from the expertise of MammothDB in this field. By leveraging MammothDB's knowledge and capabilities, MariaDB aims to enhance the functionality and performance of MariaDB AX.


2015. Big Data analytics platform Platfora scores $30M



Platfora, a company dedicated to assisting customers in processing and comprehending big data, has announced a $30 million investment. Platfora is specifically designed to handle large-scale data (petabyte or larger) across diverse platforms, including Amazon Web Services, Microsoft Azure, and Hadoop. It empowers business analysts to derive insights from various data sets without relying on data scientists or IT personnel. At its core, Platfora performs three primary functions: it prepares the data for analysis, processes the data in an in-memory database, and crucially, provides a visualization layer that enables business analysts and others to interpret the data meaningfully. Once the platform is set up by IT, users can delve into exploration. The data preparation and processing occur in the background as analysts select different sources to construct their desired dataset. Once this process is completed, they can visualize the data through charts and graphs in diverse formats, as expected.


2015. Hitachi buys business intelligence provider Pentaho



Hitachi aims to enhance its portfolio by acquiring the BI vendor Pentaho to incorporate robust big data analytics capabilities. Pentaho is renowned for its comprehensive big data platform, which simplifies data preparation and blending across various types of data. The platform encompasses a wide range of tools that empower users to effortlessly analyze, visualize, explore, report insights, and predict outcomes. While Pentaho is expected to maintain a degree of independence and continue serving its substantial customer base, it will also leverage Hitachi's extensive resources to accelerate the development of our big data analytics and data orchestration capabilities. This collaboration aims to introduce new innovations to the market and expand support for existing and future customers.


2015. Fractal Analytics buys mobile shopping analytics provider Mobius Innovations



In order to gain deeper insights into the thought process of mobile customers, Big Data analytics company Fractal Analytics has acquired Mobius Innovations. Recognizing the evolving expectations of consumers, who now anticipate companies to comprehend their needs, understand their context, and provide relevant products or information in real time, Fractal CEO Srikanth Velemakanni stated the significance of this acquisition. By integrating Mobius Innovations, Fractal Analytics aims to empower its clients to engage in hyper-personalized customer conversations on mobile platforms, leveraging real-time learning and customer context. Fractal Analytics' flagship product, Customer Genomics, already utilizes deep learning analysis to reveal crucial insights about consumer decision-making patterns, including what, when, and where they make purchasing choices.


2014. OpenText buys Big Data analytics provider Actuate for $330 Million



The global leader in Enterprise Content Management, OpenText, has completed the acquisition of Actuate, a prominent provider of Business Intelligence solutions. Actuate, renowned as "the BIRT company," specializes in Enterprise Business Intelligence and is closely associated with BIRT, which stands for "Business Intelligence Reporting Tools" and is an open-source project under the Eclipse Foundation. Actuate actively supports BIRT by offering the open-source IDE, while also developing BIRT iHub, a deployment platform that greatly enhances developer productivity when working on customer-facing applications. Additionally, Actuate's BIRT Analytics empowers users with self-service predictive analytics capabilities to improve customer engagement utilizing Big Data. Moreover, Actuate for CCM provides ECM architects with a seamless solution to transform, process, personalize, and archive high-volume content with ease.


2014. MapR partners with Teradata to reach enterprise customers



The last remaining independent Hadoop provider, MapR, and the prominent big data analytics provider, Teradata, have joined forces to collaborate on integrating their respective products and developing a unified go-to-market strategy. As part of this partnership, Teradata gains the ability to resell MapR software, professional services, and provide customer support. Essentially, Teradata will act as the primary interface for enterprises that utilize or aspire to use both technologies, serving as the representative for MapR. Previously, Teradata had established a close partnership with Hortonworks, but it now extends its collaboration and analytic market leadership to all three major Hadoop providers. Similarly, earlier this week, HP unveiled Vertica for SQL on Hadoop, enabling users to access and analyze data stored in any of the three primary Hadoop distributions—Hortonworks, MapR, and Cloudera.


2014. Big Data analytics provider GoodData gets funding from Intel



GoodData, a cloud-based firm specializing in big data analytics, has recently announced a funding round of $25.7 million, led by Intel Capital. Like GoodData, numerous other tech companies are capitalizing on the enterprise shift towards cloud-based services and the increasing demand for big data analytics resulting from the growing online presence in our lives. Competitors in this space include RJMetrics, Chartio, Business Objects, Domo, and Tableau. GoodData sets itself apart from the competition, as highlighted by Roman Stanek, the CEO of GoodData. The company's distinctive approach lies in its analytics structure, which caters to a wide range of applications while remaining user-friendly and easily integratable, even for non-technical users.