Big Data Analytics software
Updated: February 10, 2022
2022. Operational Analytics startup Census has raised $60M
Census, a startup building a data layer between business operations and a company’s data warehouse, has raised a $60 million Series B. The startup was started with idea to build something that would allow mostly nontechnical users to build queries that made sense to them and get back data that would help them do their jobs without a middleman driving that access. Early on, that involved product data, but over time other departments from marketing to sales to finance began looking at this tool as a valuable way to cull meaningful data from the company data source, whether Amazon Redshift, Snowflake, Databricks or others. The company also connects to a variety of business data sources like Airtable, Salesforce, Marketo and Zendesk.
2021. Hex snags $16M to keep building collaborative data workspace
Data is everywhere inside organizations, and employees are increasingly trying to find ways to put it to work to improve business outcomes. Hex, a startup that wants to simplify how data scientists and other employees gather and share data, has announced a $16 million Series A. Most data scientists work with their data in online notebooks like Jupyter, where they can build SQL queries and enter Python code to organize it, chart it and so forth. What Hex is doing is creating this super-charged notebook that lets you pull a data set from Snowflake or Amazon Redshift, work with and format the data in an easy way, then drag and drop components from the notebook page — maybe a chart or a data set — and very quickly build a kind of app that you can share with others.
2021. Firebolt raises $127M for its new approach to cheaper and more efficient big data analytics
Snowflake changed the conversation for many companies when it comes to the potentials of data warehousing. Now one of the startups that’s hoping to disrupt the disruptor, Firebolt, has raised $127 million Series B. The startup claims that its performance is up to 182 times faster than that of other data warehouses with a SQL-based system that works on academic research that had yet to be applied anywhere, around how to handle data in a lighter way, using new techniques in compression and how data is parsed. Data lakes in turn can be connected with a wider data ecosystem, and what it translates to is a much smaller requirement for cloud capacity. And lower costs.
2021. Hex lands $5.5M seed to help data scientists share data across the company
As companies embrace the use of data, hiring more data scientists, a roadblock persists around sharing that data. It requires too much copying and pasting and manual work. Hex, a new startup, wants to change that by providing a way to dispense data across the company in a streamlined and elegant way. Today, the company announced a $5.5 million seed investment, and also announced that it’s opening up the product from a limited beta to be more widely available. Most data scientists work with their data in online notebooks like Jupyter, where they can build SQL queries and enter Python code to organize it, chart it and so forth. What Hex is doing is creating this super-charged notebook that lets you pull a data set from Snowflake or Amazon Redshift, work with and format the data in an easy way, then drag and drop components from the notebook page — maybe a chart or a data set — and very quickly build a kind of app that you can share with others.
2020. InfoSum raises $15.1M for its privacy-first, federated approach to big data analytics
InfoSum, a London startup that has built a way for organizations to share their data with each other without passing it on to each other — by way of a federated, decentralized architecture that uses mathematical representations to organise, “read” and query the data — is today announcing that it has raised $15.1 million. InfoSum’s solution today may be aimed at martech, but it is something that affects a number of industries. Indeed, the decision to focus on marketing technology, he said, was partly because that is the industry that Halstead worked most closely with at DataSift, although the plan is to expand to other verticals as well.
2020. Quantexa raises $64.7M to bring big data intelligence to risk analysis and investigations
Quantexa - the company that built a machine learning platform branded “Contextual Decision Intelligence” (CDI) that analyses disparate data points to get better insight into nefarious activity, as well as to (more productively) build better profiles of a company’s entire customer base - has picked up $64.7 million, a Series C. The startup built its business on the back of doing work for major banks and others in the financial services sector, and the plan will be to continue enhancing tools for that vertical while also expanding into two growing opportunities: working with insurance and government/public sector organizations.
2018. MariaDB acquires big data analytics company MammothDB
MariaDB, known as a drop-in replacement for the popular MySQL database, clearly has its sights set on a bigger market and is looking to expand and better challenge the likes of Oracle and Microsoft SQL Server. Today the company announced that it has acquired MammothDB, a big data business analytics service based in Bulgaria. With MariaDB AX, MariaDB already offers an analytics and data warehousing system. So the company plans to bring the MammothDB’s expertise in this area to bear on MariaDB AX.
2015. Big Data analytics platform Platfora scores $30M
Platfora, a company that helps customers process and make sense of big data, announced a $30 million investment today. Platfora has been designed to work with big data (petabyte or larger) on a variety of platforms including Amazon Web Services, Microsoft Azure and Hadoop. It helps business analysts make sense of a variety of data sets without the help of data scientists or IT. At a basic level Platfora does three things: it prepares the data for analysis. It then processes the data in an in-memory database and perhaps most importantly it provides a visualization layer for business analysts and others to view the data in meaningful ways. Once IT has set up the platform, users can get to work exploring. The data prep and processing happens in the background as the analyst points to different sources to build a set of data they wish to work with. Once that process is complete, they can view the data in various ways in charts and graphs as you would expect.
2015. Hitachi buys business intelligence provider Pentaho
Hitachi wants to add big data analytics capabilities to its portfolio by acquiring BI vendor Pentaho. Pentaho is best known for its big data platform that simplifies preparing and blending all types of data and includes a spectrum of tools that enable users to easily analyze, visualize, explore, report insights and predict outcomes. Though Pentaho is expected to operate as a somewhat independent entity and to continue serving its large customer base, it will also leverage Hitachi’s deep pockets and resources to accelerate our big data analytics and data orchestration capabilities, bring new innovations to market, and expand support for current and future customers.
2015. Fractal Analytics buys mobile shopping analytics provider Mobius Innovations
Big Data analytics company Fractal Analytics bought Mobius Innovations to better understand the thinking of mobile customers. “As consumers, we now expect companies we do business with to understand us, know our context and help us solve our problems by offering relevant products or information in real time,” said Fractal CEO Srikanth Velemakanni. “Mobius acquisition will enable our clients to drive hyper-personalized customer conversations on mobile platforms through real time learning using customer context.” Fractal's core product, Customer Genomics, already uses deep learning analysis to show what, when and where consumers make decisions to make purchases.
2014. OpenText buys Big Data analytics provider Actuate for $330 Million
OpenText, the world leader in Enterprise Content Management, acquired Business Intelligence provider Actuate, which is one of the leader in Enterprise Business Intelligence. Actuate, often called “the BIRT company,” (BIRT stands for “Business Intelligence Reporting Tools” and is an Eclipse Foundation Open Source Project). Actuate supports BIRT – the open source IDE – and develops BIRT iHub – its deployment platform – to significantly improve productivity of developers working on customer-facing applications. Actuate's BIRT Analytics delivers self-service predictive analytics to enhance customer engagement using Big Data. Actuate for CCM empowers ECM architects to easily transform, process, personalize and archive high-volume content.
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. Big Data analytics provider GoodData gets funding from Intel
GoodData, a cloud-based big data analytics firm, announced a $25.7 million round of funding led by Intel Capital. GoodData competes against a large swathe of other tech companies that are, like GoodData, capitalising on the shift that enterprises are making to cloud-based services and the boom in big data analytics that has come in the wake of our so much of our lives moving online. Others in the space include RJMetrics, Chartio, Business Objects, Domo and Tableau. One of the differences between GoodData and the rest of the pack, according to Roman Stanek, GoodData‘s CEO, is in how it structures its analytics to cover a spectrum of uses, but in a way that is nontechnical and easy to integrate.