Here’s a list of the best SaaS Big Data software. Use the tool below to explore and compare the leading SaaS Big Data software. Filter the results based on user ratings, pricing, features, platform, region, support, and other criteria to find the best option for you.
-
1
EPMware
EPMware
Elevate performance with seamless data management and governance.
Master Data Management and Data Governance are essential components of effective organizational performance. With Plug and Play adapters for leading platforms such as Oracle Hyperion, Onestream, and Anaplan, EPMware stands out as a leader in Performance Management, offering solutions that can be deployed both on-premise and in the cloud. The design prioritizes the involvement of business users in MDM and Data Governance efforts, enhancing collaboration and effectiveness. Thanks to its built-in application intelligence, managing hierarchies becomes effortless, facilitating seamless data governance processes that foster dimensional consistency across all connected applications. The one-click integration feature enables users to visualize and model hierarchies on demand, ensuring real-time governance that guarantees metadata updates are thoroughly audited and free from errors. EPMware's robust workflow capabilities support the review and approval of metadata, allowing for smooth deployment to both on-premise and cloud environments. There’s no need for manual file transfers or extractions, resulting in a streamlined, audited metadata integration experience right from the start. Additionally, EPMware emphasizes integration and validation, providing native and pre-built support for various popular EPM and CPM technologies, ensuring that organizations can maintain their competitive edge. This comprehensive approach helps organizations not only manage their data effectively but also enhances their overall performance strategy.
-
2
Toustone
Toustone
Empower your business with tailored, data-driven solutions today!
Toustone is a collective of data specialists dedicated to transforming businesses into data-centric entities. Situated in Albury-Wodonga in regional Australia, the team has crafted a business intelligence solution that caters to a diverse range of sectors. It effectively tackles issues related to productivity, data transparency, unity, and trust, empowering organizations to make enhanced, informed decisions based on data.
Their tailored offerings include:
* Hosting & Data Warehousing
* Data Modelling & Visualisation
* AI & Data Science
* Fully Managed Service
This all-encompassing, customizable solution leverages extensive industry expertise, enabling businesses to generate automated daily KPI reports or visual dashboards. As a result, users can swiftly explore the underlying reasons behind their metrics and derive significant, actionable insights.
To embark on your path towards a data-driven future, reach out to Toustone today and discover the possibilities that await your business. It’s the first step in harnessing the full potential of your data.
-
3
Free your applications and optimize your operational processes. Achieving success in the current business environment hinges on superior software development capabilities. What methods can you implement to accelerate the delivery of features for the systems that fuel your business? Additionally, how can you effectively manage and operate modern workloads across various cloud platforms? By utilizing VMware Tanzu in conjunction with VMware Pivotal Labs, you can fundamentally change both your teams and applications, simplifying operations across a multi-cloud landscape—be it on-premises, in the public cloud, or at the edge. This innovative strategy not only enhances productivity but also encourages a culture of creativity and advancement within your organization. Embracing this approach will position your company to adapt and thrive in an ever-evolving technological landscape.
-
4
Dremio
Dremio
Empower your data with seamless access and collaboration.
Dremio offers rapid query capabilities along with a self-service semantic layer that interacts directly with your data lake storage, eliminating the need to transfer data into exclusive data warehouses, and avoiding the use of cubes, aggregation tables, or extracts. This empowers data architects with both flexibility and control while providing data consumers with a self-service experience. By leveraging technologies such as Apache Arrow, Data Reflections, Columnar Cloud Cache (C3), and Predictive Pipelining, Dremio simplifies the process of querying data stored in your lake. An abstraction layer facilitates the application of security and business context by IT, enabling analysts and data scientists to access and explore data freely, thus allowing for the creation of new virtual datasets. Additionally, Dremio's semantic layer acts as an integrated, searchable catalog that indexes all metadata, making it easier for business users to interpret their data effectively. This semantic layer comprises virtual datasets and spaces that are both indexed and searchable, ensuring a seamless experience for users looking to derive insights from their data. Overall, Dremio not only streamlines data access but also enhances collaboration among various stakeholders within an organization.
-
5
Data Taps
Data Taps
Seamlessly build scalable data pipelines for collaborative innovation.
Build your data pipelines like putting together Lego pieces with Data Taps, enabling you to integrate new metric layers and explore thoroughly while utilizing real-time streaming SQL for inquiries. Work alongside your colleagues to share and access data globally, making enhancements and adjustments to your system with ease. Adapt your setup to include diverse models and schemas while evolving your architecture as needed. Engineered for scalability, it harnesses the capabilities of AWS Lambda and S3 to ensure high performance. This adaptability empowers teams to respond swiftly to the dynamic requirements of data. Ultimately, this approach fosters innovation and collaboration in data management.