Compare Arundo Enterprise vs. IBM Decision Optimization Center

BigQuery is a serverless, multicloud data warehouse that makes working with all types of data effortless, allowing you to focus on extracting valuable business insights quickly. As a central component of Google’s data cloud, it streamlines data integration, enables cost-effective and secure scaling of analytics, and offers built-in business intelligence for sharing detailed data insights. With a simple SQL interface, it also supports training and deploying machine learning models, helping to foster data-driven decision-making across your organization. Its robust performance ensures that businesses can handle increasing data volumes with minimal effort, scaling to meet the needs of growing enterprises. Gemini within BigQuery brings AI-powered tools that enhance collaboration and productivity, such as code recommendations, visual data preparation, and intelligent suggestions aimed at improving efficiency and lowering costs. The platform offers an all-in-one environment with SQL, a notebook, and a natural language-based canvas interface, catering to data professionals of all skill levels. This cohesive workspace simplifies the entire analytics journey, enabling teams to work faster and more efficiently.

StarTree Cloud is a fully-managed real-time analytics platform designed for OLAP at massive speed and scale for user-facing applications. Powered by Apache Pinot, StarTree Cloud provides enterprise-grade reliability and advanced capabilities such as tiered storage, scalable upserts, plus additional indexes and connectors. It integrates seamlessly with transactional databases and event streaming platforms, ingesting data at millions of events per second and indexing it for lightning-fast query responses. StarTree Cloud is available on your favorite public cloud or for private SaaS deployment. StarTree Cloud includes StarTree Data Manager, which allows you to ingest data from both real-time sources such as Amazon Kinesis, Apache Kafka, Apache Pulsar, or Redpanda, as well as batch data sources such as data warehouses like Snowflake, Delta Lake or Google BigQuery, or object stores like Amazon S3, Apache Flink, Apache Hadoop, or Apache Spark. StarTree ThirdEye is an add-on anomaly detection system running on top of StarTree Cloud that observes your business-critical metrics, alerting you and allowing you to perform root-cause analysis — all in real-time.

Dashboards, codeless reports, interactive visualizations, data security, mobile access and scheduled reports. DashboardFox is a dashboard- and data visualization tool for business users. It comes with a no-subscription pricing plan. You only pay once and the software is yours for life. DashboardFox can be installed on your own server behind your firewall. Are you looking for Cloud BI? We offer managed hosting, but you retain ownership of your DashboardFox data and licenses. DashboardFox allows users to drill down and interact with live data visualizations through dashboards and reports. Without requiring any technical knowledge, business users can create new visualizations in a codeless builder. Alternative to Tableau, Sisense and Looker, Domo. Qlik, Crystal Reports, among others.

Google Cloud is an online service that lets you create everything from simple websites to complex apps for businesses of any size. Customers who are new to the system will receive $300 in credits for testing, deploying, and running workloads. Customers can use up to 25+ products free of charge. Use Google's core data analytics and machine learning. All enterprises can use it. It is secure and fully featured. Use big data to build better products and find answers faster. You can grow from prototypes to production and even to planet-scale without worrying about reliability, capacity or performance. Virtual machines with proven performance/price advantages, to a fully-managed app development platform. High performance, scalable, resilient object storage and databases. Google's private fibre network offers the latest software-defined networking solutions. Fully managed data warehousing and data exploration, Hadoop/Spark and messaging.

MongoDB is a distributed database that supports document-based applications and is designed for modern application developers. No other database is more productive. Our flexible document data model allows you to ship and iterate faster and provides a unified query interface that can be used for any purpose. No matter if it's your first customer, or 20 million users worldwide, you can meet your performance SLAs in every environment. You can easily ensure high availability, data integrity, and meet compliance standards for mission-critical workloads. A comprehensive suite of cloud database services that allows you to address a wide range of use cases, including transactional, analytical, search, and data visualizations. Secure mobile apps can be launched with native, edge to-cloud sync and automatic conflicts resolution. MongoDB can be run anywhere, from your laptop to the data center.

Founded in 2011 as one of the first mobile measurement partners, Kochava now supports campaign measurement across any device, any channel, and any audience. Tap into multi-touch attribution, next-generation MMM, and always-on incremental measurement disciplines to achieve data-driven, privacy-durable growth strategies. Understand which omnichannel tactics boost customer acquisition and retention. Key features include: omnichannel app attribution and analytics, cost and ROI measurement, deep linking, marketing data management and ETL support, ad fraud detection and prevention, and strategic services. The Kochava library of software development kits (SDKs) provide out-of-the-box measurement support across mobile, connected TV, web, and other connected devices. Built-in integrations enable clients to activate and measure campaigns with Google Ads, Meta, Apple Search Ads, X, Snap, Roku, LG Ads, Amazon Ads, NBCUniversal, TikTok for Business, Yahoo, and thousands of other ad networks, CTV platforms, and super publishers. Embrace privacy-first measurement with support for Apple’s SKAdNetwork on iOS, Google’s Privacy Sandbox on Android, and a modern marketing mix modeling (MMM) platform that future-proofs your measurement.

RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times. RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.

Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.

icCube, a Swiss-made analytics solution, is crafted for B2B SaaS product and development teams aiming to integrate advanced analytics directly into their applications. Our dashboards are designed to merge effortlessly within the SaaS solution's UI and UX, powered by icCube’s strong analytical engine, which supports complex data models with high-level security features. Adopting a developer-to-developer approach, the icCube team guides clients to ensure a smooth, rapid transition to production. We recognize the challenges of data navigation, so we’re thrilled to offer our Data Analytics Boutique Services. Tailored for both new and existing clients, this suite provides seamless data integration, fortified security, deep insights, automated decision-making, and visually impactful reports. At every project stage and throughout the product lifecycle, we partner closely with our clients, from providing quick feedback to full project and product launches.

Satori is a Data Security Platform (DSP) that enables self-service data and analytics for data-driven companies. With Satori, users have a personal data portal where they can see all available datasets and gain immediate access to them. That means your data consumers get data access in seconds instead of weeks. Satori’s DSP dynamically applies the appropriate security and access policies, reducing manual data engineering work. Satori’s DSP manages access, permissions, security, and compliance policies - all from a single console. Satori continuously classifies sensitive data in all your data stores (databases, data lakes, and data warehouses), and dynamically tracks data usage while applying relevant security policies. Satori enables your data use to scale across the company while meeting all data security and compliance requirements.