If you need something to load, index and query data from a variety of formats and sources, including APIs and SQL databases, LlamaIndex is a good choice. It can handle more than 160 data sources and 40 providers for vector stores, document stores, graph stores and SQL databases. The framework handles data loading, indexing and querying, and is geared for production LLM use. It's good for financial services analysis, advanced document intelligence and enterprise search, and comes with a free tier with limited use and a paid tier for heavier usage.
Another good option is Peaka, a data integration service that connects different data sources like relational and NoSQL databases, SaaS applications and APIs. Peaka lets you query those sources as a single system without the time and expense of the Extract, Transform, Load (ETL) process. It offers features like federated query, streaming ingestion and immediate replication with Change Data Capture (CDC). The service can dramatically reduce operational and maintenance costs and help people make decisions.
If you want something more user friendly, check out Genie. This AI-powered data analyst lets people query and visualize their data without having to learn complicated SQL commands. Genie supports natural language queries and integrates with common workspaces like Slack and Teams. It's geared for business users who need to quickly analyze and visualize data, and it's designed to be secure, so it's a good option for institutional customers.
Last, SingleStore is a real-time data platform that can handle petabyte-scale data sets with millisecond query performance. It can handle both analytical and transactional data in one engine and supports multiple data models. The platform is good for intelligent applications that need high-throughput streaming data ingestion and flexible scaling. It also offers a cloud-based option, SingleStore Helios, for elastic scaling and high availability.