If you need a platform to process and analyze a lot of log data from robots and drones, Roboto is worth a look. It's designed to ingest log data from lots of devices, letting you manage and search it at large scale. Roboto offers AI-indexed search, signal search technology and natural language search so you can ask questions of your data and find patterns. It also stores data in the cloud with tagging and metadata for fast access, and offers several pricing levels, including a free tier with 100 GB of data and compute credits.
Another good option is SingleStore, a real-time data platform that's geared for petabyte-scale data sets. It can handle transactional and analytical data in one engine, and can ingest high-throughput streaming data. SingleStore offers millisecond query performance and supports a variety of data models, so it's good for real-time analytics and AI workloads. It also offers a cloud-based service with elastic scaling and high availability, which can be useful if you have a lot of data.
For a more complete AI-infused solution, Abacus.AI offers a platform to create and run applied AI agents and systems at scale. It includes tools for predictive modeling, anomaly detection, language AI and more. Abacus.AI can automate complex tasks and forecast data in real time, so it's a good choice if you want to integrate AI into your data pipeline. It's geared for businesses that want to use AI to improve customer service and optimize operations.
Last, Morph is an AI-infused data assistant designed to make data accessible and usable for all stakeholders. It ingests data from many sources, processes it and exports the results without any programming. Morph supports SQL databases like Snowflake and BigQuery, and offers a free tier with unlimited team members and 0.5GB of database storage, so it's a good choice if you want to quickly analyze data and automate some processes.