If you need a platform that ingests data flexibly and lets you use a query language to extract insights from event data without breaking the bank, Axiom is a good option. It captures and stores 100% of event data and ingests petabytes of data in a scalable architecture. Axiom offers flexible querying with APL and immediate query access to all data, with features like live streaming and routing to destinations like Splunk, Datadog and Elastic. It's a low-cost way to handle event data, with a free tier and relatively inexpensive paid tiers.
Another good option is Defog, a natural language data query platform that uses fine-tuned AI models to securely query data on your own servers. Defog integrates with big SQL databases and data warehouses and offers a customizable interface for visualizing data and asking follow-up questions. It offers a free community version and an enterprise plan with more features, so it's good for companies that want to automate data queries and analysis while keeping data private.
If you need a self-service analytics tool, ThoughtSpot offers AI-powered analytics that lets users ask complex data questions in natural language. It offers search and AI-driven insights, embedded analytics, flexible data modeling and visualization. ThoughtSpot is geared for business teams and product builders, and it scales up to accommodate companies of all sizes, helping them make better decisions by easily exploring and analyzing their own data.
Last, Jitsu offers event data collection and integration tools that combine data from multiple sources into a data warehouse. It offers real-time event streaming and custom domains, and integrates with several data warehouses. With free and paid tiers, including an open-source option, Jitsu is flexible and easy to use for event data.