Run your analytics wherever your data lives – on-premises and any cloud
Connect data sources, applications, and businesses easily
High-performance vectorized columnar analytics database
Powerful transaction processing with embedded analytics
Robust platform for analytics and data management at the Edge
Learn key trends in data analytics and data warehousing.
Collect, transform, and automate data pipelines
Modernize your database and applications
Get Real-Time Actionable Customer Intelligence Across All Your Customer Experience Data Silos
Low-risk, simplified migration to a modern data warehouse deployed on-premises and in multiple clouds
Modernize application data processing and analytics at the Edge
These reference architectures are based on real-world customer deployments, to serve as a guide for data-driven application builders leveraging Actian’s portfolio of products.
Empowers Insight with the Avalanche Cloud Data Platform
Speeding to the head of the queue with the AA
Competitive solutions, industry-leading incentives and a comprehensive support package
Accelerate your business with the Actian Partner Program
Leverage the expertise our partner network has to offer
Partnering to create a force multiplier
Protect your customer, grow your business
The term Big Data describes data sets that are too large or complex to be processed by traditional data processing methods. Big Data is also used to describe data sets that need to be processed in their entirety to gain…
Cloud analytics is a term used to describe cloud-based computing to uncover insight from stored data in private or public clouds. Cloud computing is the fastest-growing segment of the database market, and modern data repositories are almost exclusively cloud-based. Cloud-computing…
The term cloud elasticity refers to the ability of a cloud service to grow and shrink resources to match the demand from an application workload. The dynamic elements of an elastic cloud are compute CPUs, memory and storage. The provision…
Data storage can reside in a data center on-premises or a data center hosted by a cloud service provider or cloud vendor and accessed over a network. It is offered as a subscription model, typically charged monthly by terabytes consumed…
A connected cloud provides multiple functions under a single management umbrella. In a data platform context, these services would include data analysis, storage and data integration. The Avalanche Cloud Data Platform offers these services. In a multi-cloud enterprise, it is…
Data Science is a discipline that focuses on the strategies and techniques used to gain meaningful insights from large volumes of data. What is a Data Scientist? The best way to define data science is to consider what data science…
Streaming data is the process by which a continuous flow of data from single or multiple sources is processed in near real-time. Depending on the time criticality or server resource constraints, data streams can be processed after small intervals as…
When data is not being transmitted between locations, it is considered to be at rest. In its rawest form, data is stored in digital form (represented as binary 0 and 1 values) on storage media, which can reside on-premise, on…
Multi-cloud refers to a business that uses cloud computing resources on multiple public clouds such as AWS, Azure, Google Cloud and private clouds. Almost all large enterprises use multiple public and hybrid cloud providers today. Why Multi-cloud? Below are some…
The term “data in motion” refers to data that is actively being processed or transformed or moving from a source device, sensor, storage device, or data communications node to a target location. The target location can be an intermediate node…
