Best Data as a Service (DaaS) Software - Page 3

Snowflake Data Exchange

Snowflake Data Exchange securely shares private data across your organization and leverage public data sets from the Snowflake Data Marketplace to enrich your analytics with even deeper insights.

Average Rating: 4.3/5.0

Total Reviews: 21

Sunix AI

Accurate Data labeling solutions for Computer vision applications. Provide Image, Video and Text annotations We adapt to your own custom annotation tools. Highly experienced in utilization of CVAT

Average Rating: 4.5/5.0

Total Reviews: 1

Xweather API

The Xweather Weather API is a comprehensive weather data service for developers, data teams, and product builders. It offers hyperlocal forecasts, observations, and a wide range of specialized endpoints, including road weather conditions, lightning, hail, and storm information. Applications can access real-time and historical data with flexible query options and formats suited to modern architectures. The API is continuously improved and monitored to maintain accuracy, reliability, and performance at scale, and is supported by documentation, SDKs, and tools that make integration straightforward. Organizations use the Weather API to power consumer and enterprise applications, connected and autonomous vehicles, logistics and routing systems, and AI models that incorporate weather as an input. By providing a single, dependable source of rich weather data, the Xweather Weather API helps teams build better products faster and reduces the complexity of working with multiple disparate data feeds.

Average Rating: 4.0/5.0

Total Reviews: 1

Ahana Cloud for Presto

Ahana Cloud for Presto is a fully integrated, cloud-native managed service built for AWS and the easiest way to get up and running with Presto. The managed service includes the Ahana SaaS Console which allows users to create and manage multiple Presto clusters. The Ahana SaaS Console runs in Ahana's AWS account. The Presto clusters as well as the other system components like the Hive Metastore are provisioned in the Ahana Compute Plane in the user's AWS account.

AirLabs

Azure Data Explorer

Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. When we show up, we achieve more together. Microsoft operates in 190 countries and is made up of more than 220,000 passionate employees worldwide.

Baselight

Baselight is the antidote to AI hallucinations: a unified data layer that serves as the structured backbone for intelligent systems, connecting both humans and LLMs to verifiable, auditable facts. It provides a suite of tools—including an AI for explainable intelligence, an extensive catalog of dependable structured data, and a studio for transparent analysis—to ensure that every query is answered with truth, not guesswork, powering smarter, more reliable insights for everyone.

Business analytics, Data and Analytics

I built Pan Africa Data to solve a problem I kept hitting in African financial institution advisory work — fragmented, hard-to-access data across World Bank WDI, IMF WEO, and UN sources, with no single clean layer covering the whole continent. What it does: - 100+ macroeconomic indicators for all 54 African countries, 2000–2035 (historical + forecasts) - Proprietary 5-class income distribution model for 509 cities — the only city-level income segmentation dataset for Africa I'm aware of - REST API + Excel/CSV on-demand downloads - Free explorer tier: Lesotho, Cabo Verde and Eswatini The income model fits log-normal distributions using World Bank Gini coefficients, calibrated to country-appropriate poverty lines. Forecasts use IMF WEO + World Bank MPO anchors with dampened trend extrapolation to 2035.

BuyerCaddy

The world’s most comprehensive and granular dataset of technology installations. BuyerCaddy provides ~7× broader technographic coverage than legacy providers, tracking 180K+ technologies across 25M+ companies worldwide.

Clerix's Data Collection APIs

The world runs on data about people and organizations - but most of that data is wrong, old, or missing entirely by the time it reaches the systems that need it. Enrichment pipelines pull from caches that are weeks stale. Scrapers break silently when platforms update their structure. And stitching together signals from multiple sources means building and maintaining a normalization layer that never quite works. Clerix is the intelligence infrastructure layer built to fix that. We deliver real-time, structured data on entities - people, companies, networks - by extracting directly from the world's largest digital platforms. Not cached. Not crawled. Live, on demand, the moment your system needs it. The result is ground-truth telemetry your pipelines can actually trust. Every Clerix response is deterministic typed JSON - schema-stable ready to use without a transformation step. When platforms change their internal structure, we absorb it. Your integration stays intact. Your data quality stays consistent. Under the hood, Clerix fuses global OSINT signals with proprietary data streams and AI systems to achieve entity coverage that single-platform providers simply can't match. Whether you're resolving an identity across fragmented profiles, profiling an organization's digital footprint, or enriching a lead in real time before a sales call, Clerix returns the full picture - not a partial snapshot. We're built for enterprise teams where data quality is the product: AI pipeline engineers, sales intelligence platforms, digital risk and OSINT analysts, and agentic system builders who can't afford for enrichment to be the weak link. Our infrastructure runs at 99.99% uptime, monitored continuously, with a full observability stack. Clerix operates on custom enterprise contracts. We don't do self-serve - every deployment starts with an MNDA, a scoped quote, and defined success KPIs. It's a deliberate choice: the teams we work with have real requirements, and we'd rather get it right than ship fast and fix later. Real-time intelligence. Any platform. One API.

CloudShark Personal

Data Fair

Data Fair by Koumoul is an open data SaaS platform that centralizes, secures, and shares data. Designed for non-technical users, it allows for the easy creation of interactive dashboards. Connected to external catalogs and accessible via APIs, this turnkey solution also offers a free trial.

DataHub

Datazoom

Datazoom provides a data collection, standardization, enrichment and routing platform, with pre-scripted data collection for Video Players. Use Datazoom to route data into data storage and analytics tools to build Audience, Advertising, Content and Quality of Experience monitoring for your video streaming sites and applications.

Discolike

DiscoLike is a search engine over the business web. Google indexes webpages and returns webpages; DiscoLike indexes 80M+ business websites and returns companies, plus the right people at those companies. Describe an ideal customer in plain language and get every matching company from DiscoLike's own index, covering 98%+ of the market in 55 languages and roughly 3x the company coverage of LinkedIn-dependent databases. Three combinable ways to search: lookalike from seed domains, natural language ICP description, and exact phrase matching against homepage text. Contact search then surfaces the right people at those companies with email, phone, LinkedIn URL, seniority, department, and skills. This is the opposite of LinkedIn-derived tools. Apollo, ZoomInfo, Cognism, and Lusha start from contact records and back into companies, so you are searching self-reported taxonomy. DiscoLike starts from the open web, using custom LLMs trained on actual website content to match companies by what they do. Coverage is typically strongest exactly where LinkedIn-derived tools are weakest: EMEA, APAC, and niche verticals. Also included: technology and vendor detection across 80M+ domains, corporate hierarchy mapping, company name-to-domain matching, digital footprint scoring and growth metrics, ML-powered ICP segmentation, and exclusion lists of up to 250K company domains and 500K contacts on every plan. Five ways in, one engine: - MCP server for AI coding assistants such as Claude Code, Cursor, VS Code, and Windsurf, used by over half of active users - REST API plus Python SDK and CLI, for Clay, N8N, Zapier, and product integrations - Native HubSpot, Salesforce, and Pipedrive connectors that push discovered companies and contacts straight into the CRM - Web app for point-and-click TAM building - Nine bulk flat-file datasets delivered daily, weekly, or monthly, including direct to S3 Plans run from $99/mo to $1,599/mo and all include the full feature set, differing only in usage rates, included record volume, API throughput, and support. Every subscription dollar goes toward credits: each search costs a query fee plus a fee per 1,000 new records, and a record already retrieved in the last 90 days is free.