Compare Dexie vs. FusionCharts

Ditto is the only mobile database with built-in edge device connectivity and resiliency, enabling apps to synchronize without relying on a central server or constant cloud connectivity. With billions of edge devices and deskless workers driving operations and revenue, businesses are hitting the limits of what traditional cloud architectures can offer. Trusted by Chick-fil-A, Delta, Lufthansa, Japan Airlines, and more, Ditto is pioneering the edge-native revolution, transforming how businesses connect, sync, and operate at the edge. By eliminating hardware dependencies, Ditto’s software-driven networking is enabling businesses to build faster, more resilient systems that thrive at the edge – no Wi-Fi, servers, or cloud required. Through the use of CRDTs and P2P mesh replication, Ditto's technology enables you to build collaborative, resilient applications where data is always available and up-to-date for every user, and can even be synced in completely offline situations. This allows you to keep mission-critical systems online when it matters most. Ditto uses an edge-native architecture. Edge-native solutions are built specifically to thrive on mobile and edge devices, without relying solely on cloud-based services. Devices running Ditto apps can discover and communicate with each other directly, forming an ad-hoc mesh network rather than routing everything through a cloud server. The platform automatically handles the complexity of discovery and connectivity using both online and offline channels – Bluetooth, peer-to-peer Wi-Fi, local LAN, WiFi, Cellular – to find nearby devices and sync data changes in real-time.

Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case. Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection. Vertex AI Agent Builder empowers developers to design and deploy advanced generative AI applications for enterprise use. It supports both no-code and code-driven development, enabling users to create AI agents through natural language prompts or by integrating with frameworks like LangChain and LlamaIndex.

Sharesight, a popular investment portfolio tracker, is used in more than 100 countries around the world. It tracks all your stocks, ETFs and dividends in one place. Sharesight allows you to compare your portfolio with an index or a specific stock, and see your total investment return over a period of time. Track your investments across multiple exchanges, currencies and brokers. This eliminates the need for ongoing data input, as all dividends, stock splits, and corporate actions are handled by an automated system, saving you both time & money. Sharesight is free to use. Join hundreds of thousands of other investors who are tracking their portfolio performance.

Source Defense is an essential element of web safety that protects data at the point where it is entered. Source Defense Platform is a simple, yet effective solution to data security and privacy compliance. It addresses threats and risks that arise from the increased use JavaScript, third party vendors, and open source code in your web properties. The Platform offers options for securing code as well as addressing an ubiquitous gap in managing third-party digital supply chains risk - controlling actions of third-party, forth-party and nth-party JavaScript that powers your website experience. Source Defense Platform provides protection against all types of client-side security incidents, including keylogging, formjacking and digital skimming. Magecart is also protected. - by extending the web security beyond the browser to the server.

Revolutionize Your Support Team with Seamless Automation Are repetitive tasks holding back your support team? QueryPal enables support teams to provide outstanding service by automating ticket responses, allowing more time for complex issues that need human attention. With AI-powered workflows, you can cut down on response times, boost efficiency, and deliver accurate, reliable support. From managing routine inquiries to handling large volumes of requests, your team can stay focused on what truly matters—keeping your customers satisfied. Faster Solutions: Speed up issue resolution by automating replies to common tickets and questions. Consistency & Precision: Ensure every interaction is consistently detailed, minimizing errors. Boosted Productivity: Let your team concentrate on complex or urgent matters by automating routine tasks.

Jscrambler is the leader in Client-Side Protection and Compliance. We were the first to merge advanced polymorphic JavaScript obfuscation with fine-grained third-party tag protection in a unified Client-Side Protection and Compliance Platform. Our end-to-end solution does more than protect your data—it empowers your business. With Jscrambler, your teams are free to take full advantage of client-side JavaScript innovation, assured that your business benefits from blanket protection against current and emerging cyber threats, data leaks, misconfigurations, and IP theft. Jscrambler is the only solution that enables the definition and enforcement of a single, future-proof security policy for client-side protection. We also make it easy to comply with new standards and regulations; our dedicated PCI module is designed specifically to help businesses meet the stringent new PCI DSS v4.0 requirements. Trusted by digital leaders worldwide, Jscrambler lets you move fast and embrace a culture of fearless innovation, backed by the assurance that both your first- and third-party client-side JavaScript assets will remain secure and compliant.

Seobility crawls all pages linked to your website to check for errors. Each check section displays all pages that have errors, problems with on-page optimization, or issues regarding page content such as duplicate content. You can also examine all pages in our page browser to find out the problems. Each project is continuously crawled by our crawlers to monitor the progress of your optimization. If server errors or major problems occur, our monitoring service will notify you via email. Seobility provides an SEO audit and tips and tricks on how to fix any issues found on your website. These issues can be fixed by Google to make sure it can access all your relevant content and understand its meaning in order for it to be matched with the right search queries.

DataHub is a versatile open-source metadata platform crafted to enhance data discovery, observability, and governance within various data environments. It empowers organizations to easily find reliable data, providing customized experiences for users while avoiding disruptions through precise lineage tracking at both the cross-platform and column levels. By offering a holistic view of business, operational, and technical contexts, DataHub instills trust in your data repository. The platform features automated data quality assessments along with AI-driven anomaly detection, alerting teams to emerging issues and consolidating incident management. With comprehensive lineage information, documentation, and ownership details, DataHub streamlines the resolution of problems. Furthermore, it automates governance processes by classifying evolving assets, significantly reducing manual effort with GenAI documentation, AI-based classification, and intelligent propagation mechanisms. Additionally, DataHub's flexible architecture accommodates more than 70 native integrations, making it a robust choice for organizations seeking to optimize their data ecosystems. This makes it an invaluable tool for any organization looking to enhance their data management capabilities.

c/side: The Client-Side Platform for Cybersecurity, Compliance, and Privacy Monitoring third-party scripts effectively eliminates uncertainty, ensuring that you are always aware of what is being delivered to your users' browsers, while also enhancing script performance by up to 30%. The unchecked presence of these scripts in users' browsers can lead to significant issues when things go awry, resulting in adverse publicity, potential legal actions, and claims for damages stemming from security breaches. Compliance with PCI DSS 4.0.1, particularly sections 6.4.3 and 11.6.1, requires that organizations handling cardholder data implement tamper-detection measures by March 31, 2025, to help prevent attacks by notifying stakeholders of unauthorized modifications to HTTP headers and payment information. c/side stands out as the sole fully autonomous detection solution dedicated to evaluating third-party scripts, moving beyond reliance on merely threat feed intelligence or easily bypassed detections. By leveraging historical data and artificial intelligence, c/side meticulously analyzes the payloads and behaviors of scripts, ensuring a proactive stance against emerging threats. Our continuous monitoring of numerous sites allows us to stay ahead of new attack vectors, as we process all scripts to refine and enhance our detection capabilities. This comprehensive approach not only safeguards your digital environment but also instills greater confidence in the security of third-party integrations.

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.