Top 10 Alternatives to Kastor Data Recently Reviewed By G2 Community
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Making big data simple
Fivetran is an ETL tool, designed to reinvent the simplicity by which data gets into data warehouses.
Monte Carlo is the first end-to-end solution to prevent broken data pipelines. Monte Carlo’s solution delivers the power of data observability, giving data engineering and analytics teams the ability to solve the costly problem of data downtime.
Hightouch is the easiest way to sync customer data into your tools like CRMs, email tools, and Ad networks. Sync data from any source (data warehouse, spreadsheets) to 70+ tools, using SQL or a point-and-click UI, without relying on favors from Engineering. For example, you can sync data on how leads are using your product to your CRM so that your sales reps can personalize messages and unlock product-led growth.
Our platform connects to over 2,400 apps to dismantle data silos, creating a single source of truth (SSOT) for all your business data. But unlike passive data warehouses, Boost.space is an active, read-write memory. Our real-time, bidirectional synchronization engine allows AI agents to not only read unified data but also act on it by writing changes back to your toolstack. Simply prompt and watch your business execute.
A next-generation iPaaS, reimagined for new hybrid data management challenges with a microservices architecture.
dbt is a transformation workflow that lets teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. Now anyone who knows SQL can build production-grade data pipelines.
Cloudera Enterprise Core provides a single Hadoop storage and management platform that natively combines storage, processing and exploration for the enterprise.
Unify your approach to hyperautomation with API integration and robotic process automation (RPA), all on a single platform. Automate and connect anything to ServiceNow.
Keboola is a cloud based data platform that helps clients combine, enhance and publish crucial information for their internal analytics projects and data products.