Ahana recently raised $20 million to launch their Presto cloud-based analytics service.
Ahana’s Presto service delivers high performance SQL on top of your cloud data lake, providing customers with real-time insights.
In this article, we will be looking at the pricing and features of Ahana’s Presto service.
Ahana raises $20M for Presto database amid cloud analytics boom
Ahana’s Presto Service is a cloud-native offering of the popular open source distributed SQL query engine, Presto. It is designed to provide simplified setup and administration for faster query performance and scale implementation to meet the demands of today’s data analysis workloads.
Ahana’s Presto offering is built on top of open source Presto and comes with native Amazon Web Services (AWS) integration services for analytics-as-a-service. Ahana allows users to run queries on multiple data sources including Amazon EMR, Hive, Athena, Redshift, DynamoDB and other compatible connectors in a secure environment with low latency and automatic fault tolerance. Furthermore, it includes resource scaling which adjusts compute power according to demand and an intuitive UI interface for faster iteration cycles. Finally, users can benefit from cost savings due to Auto Scaling – which only pays for units used in queries – rather than an entire computing cluster.
To facilitate its corporate efforts in the cloud analytics realm, Ahana raised $20M in a round led by Sequoia Capital’s Accelerator Fund V in December 2020 with participation from OfTwoMinds Capital, NextEquity Partners and venture partner Data Collective VC. Their funding enables Ahana to fuel development of “SARC”, its self-service analytics runtime capabilities for enterprise customers outside of AWS, which are being heavily tested by major brand clients such as Johnson & Johnson Ventures and Rubrik.
What features does the Presto service offer?
Ahana’s Presto Service is a cloud-native distributed SQL query engine that helps users reduce costs and increase performance on their data queries. It offers features such as fast query execution, parallel execution of queries, and scalability – allowing early adopters to optimise for both speed and cost.
The Presto Service provides optimised run-time performance for ad-hoc analytics using complex joins, aggregations and window functions, and support for SQL 2003 & HiveQL for richer analysis. Additionally, the Presto Query Scheduler simplifies scheduling and managing jobs in the presto cluster efficiently, enabling users to manage all data analysis requirements from one centralised platform.
With its wide range of features, the Ahana Presto Service makes it easy to analyse structured data promptly while reducing unnecessary costs associated with storing large volumes of data. Moreover, this service promises adoption across private or public clouds and streaming capabilities, making it an attractive offering for companies that need to make real-time decisions based on large volumes of incoming data. Therefore, thanks to its flexibility and scalability capabilities the Ahana Presto service eases businesses into faster decision making regarding potential investments or uncovering customer trends.
Ahana’s Presto service offers a pay-as-you-go pricing model, which means that customers only pay for the services they use. This makes Ahana’s Presto a cost-effective solution for organisations that need powerful database analytics.
In addition, the service also offers discounts for high usage and long-term contracts. Let’s take a look at the pricing structure in detail.
What is the cost of the Presto service?
Ahana’s Presto service is an open source platform that enables cloud analytics and data system operations in the cloud. In addition, it offers a range of pricing options based on usage, allowing customers to choose the most appropriate plan for their needs.
The Basic tier offers persistence, improved query monitoring, automated query analysis and optimization with per-nodes costs starting from $0.29/hour. The Advanced tier adds security features like database encryption, offers simplified set-up, replicas management and cost per node starts from $0.47/hour.
The Premium tier adds enterprise scale performance support for advanced workloads such as real-time ingestion and caching services at the mere cost of $0.86/hour per node making it the most viable option for companies looking for advanced analytic capabilities without incurring high costs. In addition, all plans come equipped with automatic patching and version upgrades designed to ensure seamless integration with existing cloud applications and databases.
What payment options are available?
Ahana’s Presto Database service offers several payment options, allowing customers to easily access the tools and resources they need most.
The pricing structure for Ahana’s Presto service consists of several tiers depending on the customer’s needs. Customers can opt for either pay-as-you-go or subscription services, which can be annual or monthly, with an additional one-time setup fee for first-time users. Subscription services will receive priority configuration and support from Ahana and discounts on usage fees.
For pay-as-you-go services, customers can buy a set number of server hours at the base rate of $50/hour, or they can purchase a block of 1 gigabyte, 2 gigabytes, 4 gigabytes or 8 gigabytes at varying prices; these blocks are valid up to 12 months after purchase and can be used as required. A minimum payment per transaction depends on the total amount of data stored; this is determined by the size and inflation rate along with other factors such as scalability needs.
Other costs incurred are resource preconfiguration costs, and charges if any additional software or hardware configuration is necessary. All payments must be made via credit card: MasterCard, Visa and American Express are accepted in various countries worldwide. Payment plans may also be available upon request; please get in touch for further assistance.
Are there any discounts or promotions available?
Yes, Ahana’s Presto service offers discounts and promotions to help meet the budget needs of our customers.
For organisations looking to purchase a volume plan, Ahana provides discounted pricing when committing to larger purchases upfront. This allows customers to take advantage of lower prices while building their Presto in the cloud over a determined duration, such as annual licensing that extends across multiple years or monthly prepayment plans.
In addition, we offer promotional discounts intermittently throughout the year on certain products and services. Finally, our flexible payment model allows customers to pay according to their needs by spreading out their payments instead of having one lump sum bill upon purchase. This can also reduce cash flow for companies with smaller capital allocation for project costs in the current year.
Ahana’s Recent Investment
Ahana recently announced that it has raised $20 million in series A funding for its Presto database. This investment was led by CRV and included investments from Lightspeed, Harmony Partners, and Precursor Ventures.
With this new funding, Ahana looks to expand its cloud analytics and Presto service offerings. Let’s take a closer look at how this investment will impact the pricing of Ahana’s Presto service.
What is the recent investment in Ahana’s Presto service?
Ahana recently announced that it has raised $20 million in a Series A funding round led by Sequoia Capital for its Presto-based cloud analytics service. This investment reflects the growing demand for solutions that provide seamless access to data and insights from any cloud or on-premises sources.
The investment supports the company’s rapid growth. In addition, it will help accelerate development of its Presto open source database service, Ahana Cloud, which offers enterprises complete control over their big data analytics solutions. By using Ahana Cloud, customers can leverage the scalability and cost-effectiveness of Presto while having an end-to-end experience tailored to their environment. The startup also plans to expand its product portfolio by adding additional enterprise features such as support for federated queries and elastic scaling capabilities.
Ahana’s pricing model is quite affordable with pricing depending on usage. For example, its Presto service starts at $0.25 per hour with additional costs based on storage and compute requirements. The cloud platform can scale from 2xlarge (24 vCPUs, 96GB RAM) to 16xlarge (256 vCPUs, 1024GB RAM). Additionally, Ahana offers additional services such as sharing encrypted data warehouses securely with other users or having dedicated clusters authorised by an organisation’s IT department via authentication mechanisms like Kerberos or LDAP.
How will the investment be used?
Ahana, a leading cloud analytics platform, recently announced that it has raised $20M in new funding to support its mission of developing and delivering Presto, an open source distributed SQL query engine. This investment will help Ahana continue to create and support disruptive technologies that enable customers to gain access to their data with unprecedented speed and efficiency.
The new funding will be used for many things by Ahana, including advancing the design of their cloud-native architecture for Presto, furthering its machine learning capabilities, and expanding Ahana’s product range. Additionally, this investment will enable the company to grow their team by bringing on more experts in data engineering and engineering management roles to continue driving innovation and scalability of their Presto database. Finally, the funding will also be used for more research & development focused on advanced analytics capabilities that can assist customers in arriving at more accurate insights into their data faster than ever before.
The investment is part of a larger trend towards cloud-based analytics platforms as businesses seek more sophisticated ways of accessing critical insight from their enterprise data tools. By utilising Presto’s open source nature, Ahana is able to provide a powerful tool quickly and easily while giving customers cost savings due to the lack of ongoing licensing costs associated with many other similar databases. With this new capital injection from investors, Ahana will likely become the go-to provider for businesses looking for fast access and understanding of their big data insights shortly.
What impact will the investment have on the Presto service?
The investment by Ahana in their Presto database will enable them to further develop, scale, and support the service. In addition, Ahana will use the additional funding to offer customers new features, connections and integrations that require cloud analysis solutions.
The investment will also help Farincella expand its current offering to accommodate businesses of all sizes. Farincella’s platform is designed with common data access and operational intelligence needs, from small implementations like sales analytics to larger enterprise data lake architectures. With this increased capital, Farincella can ensure customers can access the most up-to-date cloud analytics capabilities. Additional investments in research and development could improve the Presto Automated Data Refinery (ADR) software, which automates key tasks such as data exploration, model training, deployment, recovery and more.
Ahana has committed to becoming a full-fledged cloud analytics provider by expanding their Presto Database service with this new investment. This should go a long way towards boosting customer confidence in the product and Ahana’s ability as a company that can understand and react to quickly changing market demands when it comes to cloud analytics solutions.
Benefits of Ahana’s Presto Service
Ahana’s Presto service is a managed cloud-based analytics platform easily integrated into the cloud environment. With its fully-managed Presto analytics engine, customers can build data-driven applications faster and with less cost.
In this article, we’ll be looking at the benefits of using Ahana’s Presto service and its associated cost.
What are the benefits of using the Presto service?
Ahana’s Presto service offers valuable benefits to cloud users and enables them access to more efficient data analytics tools. By leveraging the power of cloud-native technologies, the features of Presto make it the ideal solution for analysing semi-structured and structured data projected on a large scale.
Some of the most notable advantages that are associated with Ahana’s Presto service include:
1) Scalability – It is easy to scale up or down depending on your current workload. You can expand or reduce in a few steps while keeping resources utilisation under control.
2) Cost efficiency – It lowers ownership costs by allowing you to pay only for what you are using, minimising costs for cluster management and spinning clusters only when needed.
3) Security – Your data will be stored safely through encryption algorithms and multiple levels of user authentication.
4) High performance – The performance is quite fast compared with other query engines as it does not follow a traditional map-reduce pattern. Instead, it uses a new query engine that processes queries directly into a distributed execution plan.
5) Connectors support – Presto allows easy integration with SQL databases, Hadoop components (Hive, HDFS), or even NoSQL databases like MongoDB or Cassandra through connectors available in the software package.
Overall, using Ahana’s Presto service has many advantages over other popular database services such as Amazon Redshift or Google BigQuery due to its native versatility when dealing with different types of data sources and formats in real time.
How does the Presto service compare to other cloud analytics services?
Ahana’s Presto service stands apart from other enterprise cloud analytics offerings in its ability to provide a broad range of tools for database analytics and query performance. In addition, unlike traditional database offerings, Presto is a distributed SQL query engine allowing fast and efficient querying across multiple data sources—including relational databases and data lakes.
At the core of the Presto service lies the Presto Query Optimizer, which optimises queries against databases such as Amazon Redshift, PostgreSQL, MySQL, and Apache Hive using modern join algorithms that leverage information system statistics. The dramatic improvement in query performance delivers increased scalability due to faster and more efficient resource utilisation.
The Presto service also provides features such as full text search capabilities powered by Apache Lucene, supporting multi-dimensional data exploration and analysis. Additionally, it offers real-time integration with popular visualisation tools like Tableau & Excel for fast visual insights on top of your data queries. Accessing datasets quicker than ever allows Ahana’s presto users to eliminate the dreaded wait times associated with traditional enterprise analytics solutions.
Overall, Ahana’s Presto Service is highly competitive compared to other solutions on the market when considering the comprehensive range of tools it offers and its superior optimization capabilities.
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