Experience Actian Vector 7.0: A Faster, More Powerful Analytics Database

Slow BI reporting and analytics speed indicate that your database is not performing at the high level needed to support modern analytics tools, applications, and real-time insights. This is not only a drag for data and IT teams that slows down their productivity, it can cripple your business growth. Slow time to insights has a ripple effect, delaying business decisions, missing opportunities, and losing a competitive advantage. It also undermines confidence in the data.

If you’re using an outdated database, you’re at a distinct business disadvantage. Legacy databases can’t keep up with:

• Integrating diverse data sources and rapidly growing data volumes.
• Processing workloads for real-time data analysis use cases.
• Providing flexible and secure data deployments on-premises and in the cloud.

Actian Vector 7.0 Raises the Bar for Analytics

Real-time data analytics is a powerful differentiator for businesses seeking a competitive edge. Actian Vector delivers exactly that—and more. Now with the Vector 7.0 launch, querying large–even extremely large–data sets for analytics can be done in milliseconds, allowing database admins to maintain blazing-fast ingest rates for real-time analytics.

“Because Actian Vector can deliver extraordinary performance using only a small number of commodity compute nodes, the solution has exceeded the performance and functionality benchmarks of Netezza while lowering overall cost of ownership. By replacing its legacy technology, the bank estimates it will save $20 million over five years.”–Global Bank

What’s New in Vector 7.0

At Actian, our goal is simple: Make the Vector analytics database even better. We’ve empowered organizations across industries—including healthcare, transportation, retail, manufacturing, financial services, and more—to use the Vector analytics database for their most critical analytic workloads. 

Organizations like KNMP (The Royal Dutch Pharmacists Association) rely on Actian Vector to unify data for pharmacies across the Netherlands, Sabre technology uses it to update transactions in 10-20ms, and IsCool Entertainment uses Vector to tailor offers and recommendations to their customers. 

Like many of your peers, these companies demand more than a traditional database—they need a modern technology that can handle high-performance workloads to meet the demands of real-time analytics.

With 7.0, Actian Vector Delivers a Host of Upgrades

Our new release enables you to:

• Drive greater performance and scalability to improve the speed and efficiency of data processing and reduce query response times. The database does this with:
  
  • Auto Partitioning improves the efficiency of data processing. Optimized partitioning leads to faster query execution and better resource management, allowing users to focus on analysis rather than database tuning.
• Increase developer productivity by speeding up developer cycles with tools to quickly test scenarios, create more responsive applications, and handle complex queries. You can benefit from:
  • Developer SDK provides developers with the tools needed to create more responsive and scalable applications, catering to both large-scale enterprise requirements and real-time, low-latency environments. This ultimately speeds up development cycles and enhances product quality.
  • Table Cloning enables users to quickly test scenarios, restore data to a prior state, and reduce storage costs. There is no additional storage cost incurred for the cloned tables.
  • Advanced External Tables enhances the flexibility and scalability of the External Tables feature by allowing users to perform complex and customized data operations directly within their analytics workflows.
  • Spark UDFs allow for complex computations while enabling advanced data transformations and analytics.
  • REGEX Pattern Matching allows for more advanced search functionalities, enabling users to efficiently handle complex queries and improve data retrieval accuracy.
• Power machine learning (ML) workloads to perform model inferencing for real-time workloads with a “bring your own pre-trained model” approach.  
  • ML Inference using TensorFlow streamlines the ML inference workflow, reducing data transfer time and enabling real-time analysis, leading to more timely and actionable insights.

Analyze Data No Matter Where it Resides

Vector can be deployed as an on-premises solution on Windows and Linux and as a private or managed cloud on Google Cloud, Amazon Web Services (AWS), and Microsoft Azure. You can also choose a hybrid approach. Organizations with sensitive workloads can realize the true potential of hybrid cloud by bringing compute power to the place where their data resides–both on-prem and in the cloud. You can leverage the same database engine, physical data model, ETL/ELT tools, and BI tools across clouds. 

Want to experience Vector 7.0 today? Click here to request a personalized demo.

About Dee Radh

As Director of Product Marketing, Dee Radh heads product marketing for the Actian Data Platform. Prior to that, she held senior PMM roles at Talend and Formstack. Dee has spent 100% of her career bringing technology products to market. Her expertise lies in developing strategic narratives and differentiated positioning for GTM effectiveness. In addition to a post-graduate diploma from the University of Toronto, Dee has obtained certifications from Pragmatic Institute, Product Marketing Alliance, and Reforge. Dee is based out of Toronto, Canada.