Ahana’s Funding Round

Ahana, the startup that provides an open-source Presto database for cloud analytics, has raised $20 million in a series A funding round.

The round was led by Lightspeed Venture Partners and pitched by several prominent investors, including previous investors Madrona Venture Group, Next47, and Amplify Partners.

This marks the latest growth in cloud data analytics, as organizations increasingly seek solutions to quickly and easily process large data sets.

With this new funding, Ahana will be able to expand its reach and continue to build out its open-source Presto database.

Overview of Ahana

Ahana, a Providence-based cloud analytics startup, has raised a $20 million Series A round for its Presto-powered cloud database. The funding will help Ahana further develop, optimize and promote its innovative cloud analytics platform. This round was led by general partner at Bessemer Ventures Joshua Schachter and existing investors including True Ventures and Uncork Capital.

Founded in 2019, Ahana provides an artificial intelligence-infused Presto-as-a-service platform that lets companies quickly visualize and analyze their powerful data lake with an optimized SQL workload on Amazon S3. With Ahana, businesses can get real time insights based on their different data pools at any scale–all while having the assurance of dynamic scaling and security features of the cloud computing architecture tailored to their needs.

The new capital will also allow the company to hire more employees to continue optimizing its product lineup, deepen relationships with current customers such as Splunk, Sephora and Quizlet, and make strategic acquisitions. With this notable round of funding amid a cloud analytics boom due to widespread remote working strategies resulting from Covid-19 business disruptions, Ahana is poised for strong growth in the coming years.

Ahana raises $20M for Presto database amid cloud analytics boom

Ahana, an open-source analytics platform for Presto, raised $20 million in its Series A funding round. The funding round was led by Index Ventures and was supported by the likes of Vertex Ventures, LightSpeed, and others.

With this funding round, Ahana solidifies its position in the cloud analytics market and will help accelerate its growth.

Details of the Funding Round

Ahana, a startup that provides analytics for the Presto open source distributed query engine, has raised $20 million in a Series A funding round. Index Ventures led the round with participation from Kleiner Perkins and Microsoft Ventures. It brings Ahana’s total capital raised to $27 million.

The startup has developed the Ahana Cloud service, which enables customers to quickly deploy and manage a Presto cluster in any cloud or hybrid environment, with visualized metrics on query performance. Ahana’s platform also makes it easy to gain insights into performance and data usage across an enterprise’s distributed queries without sacrificing security or availability.

The new funding will help accelerate product development activities, hire more technical talent, and expand sales operations into new markets. Index Ventures partner Danny Rimer will join Ahana’s board of directors along with the investment.

Ahana is based in San Francisco and counts some of the world’s premier cloud-native technology companies among its clients such as Uber, Zillow Group, Airbnb, Okta and Autodesk.

Investors Involved

Ahana’s $20 million funding round was led by many prominent investor groups including Sequoia Capital, Canaan, R&r mFG, and 8VC. In addition, several individual investors also participated in the round such as Josh McFarland (former Twitter executive), Taylor Barada of DFJ Growth, former Oracle Cloud Executive Deepak Patil and Mindy Kaling (TV and film star).

This investment further solidifies Ahana as one of the market’s lone pure-play open-source analytics players. This funding round will be used to expand its Presto database offering which provides fast analytics on big data sources like Amazon S3, Azure Data Lake Storage, Google BigQuery and MongoDB Atlas. It will also be used to develop new data lake analytics capabilities previously unavailable.

The funding round comes when cloud analytics is seeing rapid growth due to its ability to easily process large amounts of data from various sources in real time. With this capital injection, Ahana is poised for further growth within this market. She will continue its mission of providing customers with real-time insights into their data that weren’t possible before.

Impact of the Funding Round

Ahana’s funding round comes as cloud analytics is experiencing rapid growth. Companies worldwide are now opting for the cloud-native capabilities to manage and analyze the massive amount of data they collect. With this influx in demand, companies need technology solutions that can cater to their needs with scalability, agility and flexibility.

The $20M raised by Ahana has enabled it to further its efforts in developing its Presto query engine software, to meet this ever-expanding market demand. In addition, having access to capital helps innovative companies like Ahana create advanced technology solutions that provide highly effective performance at lower operational costs. Consequently, combining these technological advancements and other benefits will help Ahana accelerate its journey towards delivering an AI-driven Big Data management and analytics platform.

Moreover, with this financing round Ahana can boost its research & development efforts and launch new products & services faster to the market – increasing its reach and presence within enterprise firms and allowing more organizations access to powerful data analytics tools suitable for their daily operations. Furthermore, the funds have enabled Ahana to boost hiring efforts in terms of numbers and skill sets across the company – commencing new initiatives that extend far beyond just software support or database queries but around overall data management effectiveness throughout an organization.

Ahana’s Presto Database

Ahana, a Presto-as-a-service company, has recently closed a $20M funding round. As cloud analytics continue to become more popular, Ahana’s Presto database is gaining traction with companies looking for an analytics solution for their data.

In this section, we’ll dive into Ahana’s Presto database and what makes it stand out from similar solutions.

Overview of Presto

Ahana’s Presto is a distributed SQL query engine designed from the ground up for the distributed cloud data systems. It is jointly developed and actively used at the heart of digital giants like Airbnb, Facebook, Lyft, and Twitter. Ahana’s Presto provides users with fast querying when dealing with large datasets on multiple nodes in a cloud system.

Ahana’s Presto delivers sub-second query response times for interactive analysis of petabytes of data processing workloads leveraging connected networks of computing resources across cloud platforms from AWS to Azure and GCP to Oracle Cloud Infrastructure. It boasts advanced compatibility and support for open standard SQL language which allows scientists, analysts, engineers and other stakeholders to access data residing in a variety of data sources including Amazon S3, Apache Hive & other systems while leveraging existing SQL skill sets and BI tools like Tableau, MicroStrategy & Looker to access real-time insights with agility.

Additionally, Ahana’s funding round supports efforts towards end-to-end enterprise deployment solutions through features such as unified instrumentation & monitoring of distributed queries across clusters being monitored by Ahana Cloud that includes an integrated open source powerful software development kit (SDK) making it easier than ever before for users utilizing various commercial architecture types like on-premises Hortonworks HDP (Hortonworks Data Platform) or Oracle on Kubernetes Engine alongside managed services providers like Google Dataproc & Microsoft HD Insights with just one installation package!

Benefits of Presto

Ahana, the cloud-native data analytics platform, has recently announced the successful completion of its $20M funding round led by Sequoia Capital. The company is best known for developing and commercializing Presto, a leading open source distributed SQL query engine. Presto has quickly gained favor among data engineers, developers and analysts for its scalability and ability to access multiple data sources from the same query.

Presto offers organizations a range of unique benefits for developing and running mission-critical analytics:

-High Speed Query Performance: Presto enables lightning fast performance regardless of hardware or network restrictions by connecting to both internal and external cloud data sources and parsing through datasets in parallel for each query request. Coupled with auto-scaling capabilities, organizations can quickly adjust their analytical processes to ensure predictable results based on growing or decreasing amounts of data.

-Low Cost Deployment & Maintenance: Running on standard off-the-shelf hardware or within cloud infrastructure allows businesses to deploy at low cost and with minimal technical efforts required on demand. With automated patching capabilities, teams can easily update their systems with all necessary security updates without manual intervention.

-Support for Both Traditional & Non Relational Databases: With dedicated support for structured relational databases and nonrelational resources such as Amazon S3 or Hadoop Distributed File System (HDFS), Presto enables users to conduct cross-data source querying through the same interface regardless of format or location. This makes it ideal for organizations looking to integrate data from legacy systems while blending insights from modern services into sophisticated analytical models.

Use Cases for Presto

Ahana’s Presto is an open source distributed SQL query engine that enables fast, interactive analytic queries across data sources. With Presto, users can access data stored in multiple databases (including Apache Hive, Kafka, Cassandra, MongoDB), object stores (including Amazon S3), and files systems (including HDFS) without intermediate layers such as a data lake. This makes it easy to quickly access and process large amounts of complex data.

Presto has several use cases within cloud analytics organizations to help drive business growth.

Here are some examples:

-Analytics App Development: Companies can use Presto for various analytics applications across various departments such as Human Resources, Sales or Operations to gain insights from their production or customer based datasets in a fraction of the time.

-Business Intelligence: Organizations can gain quick actionable insights from structured and unstructured datasets via Presto to improve their decision-making capabilities through BI tools like Business Objects or Power BI.

-Data Lake Maintenance and Management: When coupled with tools like AWS Glue or Databricks Delta Lake, organizations can maintain their cloud data lakes by running queries with Presto on an as-needed basis to ensure accuracy and completeness.

-Data Exploration: Companies often look at large amounts of data over complex time frames which are much easier to navigate when using Presto given its quick query performance at scale compared to traditional databases like PostgreSQL and MySQL.

-Customer Experience Monitoring: As customer experience becomes increasingly important for businesses today, companies can leverage the powerful query speed of Presto to monitor customer behavior in real time such as web page clicks or mobile app usage over multiple devices to improve services, products and customer support platforms more effectively.

Cloud Analytics Boom

The cloud analytics market has grown tremendously in recent years, and now Ahana has raised $20M in a funding round. This brings Ahana’s total investment to more than $40M and signifies the growth potential of the cloud analytics industry.

This article will explore why this funding round is so significant, and what implications it could have for the future of cloud analytics.

Overview of Cloud Analytics

Cloud analytics is a field of data analytics that involves collecting and analyzing data on remote cloud computing systems. This data can come from various sources such as streaming sensors, web applications, enterprise software, mobile devices, connected services and other sources. Cloud analytics aims to quickly analyze this large amount of inbound data and provide insights businesses can use to improve their operations.

There are several cloud analytics solutions available in the market today. These include methods such as warehousing, machine learning algorithms, statistical analysis, correlation analysis and predictive modeling among many more. These methods can be applied to specific business challenges to draw meaningful insights from large datasets. Furthermore, by leveraging powerful cloud computing systems for analysis storage and processing, companies can now gain quick access to accurate insights faster than ever before.

The adoption of cloud analytics has grown tremendously over the past few years as businesses become increasingly dependent on the ability to quickly process large amounts of data. As a result, companies worldwide are rapidly investing in building or acquiring cloud analytic solutions to make better decisions faster at lower costs than before. This is likely one of the main factors driving Ahana’s recent funding success. In addition, they continue to offer great value with their Presto open source distributed SQL query engine specifically made for Big Data Cloud Analytic Solutions.

Reasons for the Boom

The cloud analytics boom is fueled by the increased focus on data and analytics across various industries, from finance to healthcare and retail. Companies are recognizing the need for real-time, actionable insights to stay competitive, and they are increasingly turning to the cloud to provide their data analysis capabilities. Cloud data platforms and services offer scalability, cost effectiveness, flexibility, security and more – all at a fraction of the price of traditional solutions.

Ahana recently raised $20 million in its Series A funding round led by Lightspeed Ventures. Ahana’s Presto-as-a-Service platform is a cloud-native query engine that allows businesses to quickly analyze large amounts of data stored in the cloud or on conventional databases efficiently. In addition, by leveraging Presto’s open source ecosystem—which includes connectors for multiple data sources such as Apache Hadoop, Apache Cassandra, Amazon S3—Ahana helps businesses quickly build cloud analytics pipelines that address difficult challenges like scalability or security.

The rising popularity of cloud technology and the increasing demand for speed and analytical insights have been instrumental in driving the growth of cloud analytics solutions such as Ahana’s Presto platform. As organizations look for effective ways to manage their data storage needs without breaking their budget or sacrificing functionality, Ahana’s successful Series A round demonstrates how sought-after end-to-end cloud analytics competencies are becoming within the enterprise market today.

Impact on the Market

Ahana’s recent $20M funding round illustrates the increasing demand for cloud-native analytics solutions. As organizations move their data and analytics to the cloud, existing technologies are becoming less appealing and the need for an open source tool is rising. Presto, the database developed by Ahana, can now provide users with a unified solution to run SQL queries regardless of where their data sits in the cloud. This enables users to access comprehensive datasets unavailable before due to the unsupported architecture of traditional business intelligence (BI) tools.

Presto has already been deployed in major production instances across Fortune 500 companies, and its support of open APIs enables them to easily integrate with current workloads and simplify deployments. With its competitive edge over other technologies like Hadoop MapReduce and Hive, Presto will emerge as a strong alternative for customers looking to explore new opportunities in Big Data.

Additionally, this new influx of capital will help Ahana expand its engineering and product teams, allowing it to achieve greater market penetration by catering more specifically towards enterprise customers’ needs. The decision comes when industry giants like Google, Microsoft Azure and Amazon Web Services have tightened regulations regarding Big Data storage — making it more important than ever for companies like Ahana to stay ahead of competition with cutting-edge technology.

By providing users with fast performance and larger volumes of data on top of real-time interactive analysis capabilities inside a single interface — all within an open source environment —Ahana is set to become a leading player in the cloud analytics landscape moving forward.

Conclusion

Ahana, a data-management and analytics technology company, has recently closed a $20 million Series A funding round. This new capital will empower the business to develop solutions that facilitate the easy deployment of analytics tools on the Apache Presto distributed query engine. The funding round was led by Amazon Web Services and was supported by HDS Capital and OpenView Venture Partners.

Ahana’s cloud-native solutions focus on making it easier for organizations to leverage large amounts of data with leading open source technologies such as Apache Presto. In addition, the company will use the new capital to build solutions that better manage and simplify complex analytics workflows to provide customers greater insights into their data.

With this funding, Ahana demonstrates its leadership in cloud analytics and commitment to helping businesses take advantage of emerging cloud trends. Going forward, Ahana is well positioned to take advantage of a virtuous cycle – an increasing volume of cloud-based solutions helps more businesses understand their data quicker and find more effective ways to use it for competitive gains.