Tabular vs. jBASE Comparison Chart

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. • Gain critical real-time insights to run your business • Seamlessly integrate data streaming and batch data • High performance in throughput and low-latency at petabyte scale • Fully-managed cloud service • Tiered storage to optimize cloud performance & spend • Fully-secure & enterprise-ready

BigQuery is a serverless, multicloud data warehouse that simplifies the process of working with all types of data so you can focus on getting valuable business insights quickly. At the core of Google’s data cloud, BigQuery allows you to simplify data integration, cost effectively and securely scale analytics, share rich data experiences with built-in business intelligence, and train and deploy ML models with a simple SQL interface, helping to make your organization’s operations more data-driven.

DbVisualizer is one of the world’s most popular database editors. Developers, analysts, and DBAs use it to elevate their SQL experience with modern tools to visualize and manage their databases, schemas, objects, and table data, and to auto-generate, write and optimize queries. And so much more. It connects to all popular databases (e.g. MySQL, PostgreSQL, SQL Server, Oracle, Cassandra, Snowflake, SQLite, BigQuery, and 20+ more) and runs on all popular OSes (Windows, macOS, and Linux). With almost 6 million downloads and Pro-users in 145 countries around the world, it won’t let you down. Free and Pro versions are available.

Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and Spark. You can use BigQuery ML to create and execute machine learning models in BigQuery using standard SQL queries on existing business intelligence tools and spreadsheets, or you can export datasets from BigQuery directly into Vertex AI Workbench and run your models from there. Use Vertex Data Labeling to generate highly accurate labels for your data collection.

TeamDesk is the leading AI-Powered Low-Code platform for creating powerful and flexible web-based databases with no-coding. AI-Assisted Development streamlines database design, no technical skills required. TechRadar named TeamDesk as the best database platform of the year. TeamDesk provides Artificial Intelligence as well as predefined solutions for rapid online database creation without coding. Business owners and citizen developers can utilize AI to build unique databases for any type of industry that precisely fit their business workflow and organize gathering, sharing and managing business information. TeamDesk online database software is fully scalable and customizable to accommodate customers’ ever evolving business needs, from small companies to large enterprises, from specific manufactures to vertical business integration. TeamDesk provides: AI-Assisted Development API, Web hooks, Zapier unlimited data storage, records and tables Try it risk-frее

Decisimo is a powerful decision/rule engine platform designed to streamline your business decision-making process. It enables you to effortlessly create and update rule sets and decision tables, tailoring them to your specific needs. The platform offers a drag-and-drop builder for designing decision flows, which can include components like models, rule sets, and data sources. Decisimo also allows you to deploy decision flows to regional endpoints for faster responses and compliance with data protection regulations. You can enhance your decision flows by incorporating AI and machine learning models or connecting to external data sources through REST APIs. Decisimo is suitable for batch processing tasks such as client segmentation and prescoring, and supports data retrieval from FTP, Google Cloud Storage, or S3 buckets. The platform also provides robust unit testing capabilities to ensure accurate and reliable decision-making.

Google Cloud is a cloud-based service that allows you to create anything from simple websites to complex applications for businesses of all sizes. New customers get $300 in free credits to run, test, and deploy workloads. All customers can use 25+ products for free, up to monthly usage limits. Use Google's core infrastructure, data analytics & machine learning. Secure and fully featured for all enterprises. Tap into big data to find answers faster and build better products. Grow from prototype to production to planet-scale, without having to think about capacity, reliability or performance. From virtual machines with proven price/performance advantages to a fully managed app development platform. Scalable, resilient, high performance object storage and databases for your applications. State-of-the-art software-defined networking products on Google’s private fiber network. Fully managed data warehousing, batch and stream processing, data exploration, Hadoop/Spark, and messaging.

ManageEngine's Endpoint Central (formerly Desktop Central) is a Unified Endpoint Management Solution, that takes care of enterprise mobility management (including all features of mobile application management and mobile device management), as well as client management for a diversified range of endpoints - mobile devices, laptops, computers, tablets, server machines etc. With ManageEngine Endpoint Central, users can automate their regular desktop management routines like distributing software, installing patches, managing IT assets, imaging and deploying OS, and more.

Coda is a low-code platform for building enterprise applications. Coda is a new canvas that blends tables and text together — a unified workspace your team will never outgrow. It can be a simple list or a bona fide database. With customizable views, everyone gets to visualize the data how they want, while working off of a single source of truth. By adding building blocks like buttons and Packs, your doc can do useful things like email your timesheet, or nudge your coworker on Slack. When you pull it up on your phone, the building blocks rearrange to feel like a native app. Buttons become swipe actions. Sections become your nav. And notifications push to your phone.

(Bank CFO) “I don’t have confidence and trust in our data. We keep discovering hidden risks”. Since 70% of data initiatives fail due to unreliable data (Gartner research), are you risking your reputation by trusting the accuracy of your data that you share with your business stakeholders and partners? Data Trust Scores must be measured in Data Lakes, warehouses, and throughout the pipeline, to ensure the data is trustworthy and fit for use. It typically takes 4-6 weeks of manual effort just to set a file or table for validation. Then, the rules have to be constantly updated as the data evolves. The only scalable option is to automate data validation rules discovery and rules maintenance. DataBuck is an autonomous, self-learning, Data Observability, Quality, Trustability and Data Matching tool. It reduces effort by 90% and errors by 70%. "What took my team of 10 Engineers 2 years to do, DataBuck could complete it in less than 8 hours." (VP, Enterprise Data Office, a US bank)