Astrato vs. TimescaleDB Comparison


Astrato Astrato Analytics	TimescaleDB Tiger Data	+	+
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About Astrato Analytics is a warehouse-native business intelligence platform that allows organizations to build, embed, and share interactive dashboards and data applications directly on cloud data warehouses. It integrates with major platforms such as Snowflake, BigQuery, Databricks, ClickHouse, Supabase, Amazon Redshift, PostgreSQL, and Dremio. The platform uses a zero-copy architecture, enabling real-time data access without the need for data extraction or duplication. This approach ensures that dashboards and reports always reflect the most up-to-date information. Astrato connects through a live-query engine, allowing seamless interaction with source data. It eliminates the complexity of managing data pipelines or cached datasets. Security is enhanced by inheriting policies like row-level access and data masking directly from the warehouse. Overall, it simplifies analytics while maintaining strong governance and real-time insights.	About TimescaleDB is the leading time-series database built on PostgreSQL, designed to handle massive volumes of real-time data efficiently. It enables organizations to store, analyze, and query time-series data — such as IoT sensor data, financial transactions, or event logs — using standard SQL. With hypertables, TimescaleDB automatically partitions data by time and ID for fast ingestion and predictable query performance. Its compression engine reduces storage costs by up to 95%, while continuous aggregates make real-time dashboards instantly responsive. Fully compatible with PostgreSQL, it integrates seamlessly with existing tools and applications. TimescaleDB combines the simplicity of Postgres with the scalability and speed of a specialized analytical system.
Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook
Audience Astrato is built for teams who have moved their data to a modern cloud warehouse — Snowflake, BigQuery, Databricks, ClickHouse, Supabase, Amazon Redshift, PostgreSQL, or Dremio — but are still running analytics on legacy BI tools that pre-date that shift. Primary users: Data and analytics teams modernizing off Tableau, Qlik, Power BI, or Domo who want to stop maintaining extracts, cubes, and refresh pipelines and run analytics directly on the warehouse. Product and engineering teams at SaaS companies embedding customer-facing analytics into their own applications, portals, or platforms — often replacing in-house dashboards they'd rather not keep building. Business users and domain experts (finance, operations, marketing, sales) who need to explore governed data, build reports, and submit updates back to the warehouse without waiting on the analyst queue. IT, security, and governance leaders who want analytics that inherit warehouse-level security (RLS, RBAC, SSO) instead of introducing a parallel permissions model. Best-fit organizations: SaaS and data businesses monetizing analytics as a product feature, or delivering client-facing reporting at scale. Mid-market and enterprise companies that have modernized their data stack and want BI that matches it. Agencies and data service providers building branded analytics experiences for their clients. Regulated industries (healthcare, financial services, public sector) that need data to stay in the warehouse for compliance reasons, backed by SOC 2 Type II, ISO 27001, HIPAA, and GDPR posture.	Audience Developers, data engineers, and analytics teams who need high-performance, PostgreSQL-compatible time-series storage and querying for IoT, fintech, DevOps, or event-driven applications
Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online
API Offers API	API Offers API
Screenshots and Videos No images available	Screenshots and Videos View more images or videos
Pricing $12/month/user Free Version Free Trial	Pricing No information available. Free Version Free Trial
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information Astrato Analytics Founded: 2023 United Kingdom www.astrato.io	Company Information Tiger Data Founded: 2015 United States www.tigerdata.com/timescaledb
Alternatives Mitzu Mitzu.io	Alternatives Amazon Timestream Amazon
GetDot.ai	GridDB
Compass Dagster Labs	InfluxDB InfluxData
nao	Tiger Data
Agile Data Engine View All	DataPortia Atorcom View All
Categories Business Intelligence	Categories Relational Database Time Series Databases

Integrations APERIO DataWise AccessOwl DataClarity Unlimited Analytics Databricks Dataplane Google Cloud BigQuery Last9 Mode Ndustrial Contxt NexClipper PostgreSQL Pro Edition for Eclipse Mosquitto QStudio Snowflake Tiger Data TrendMiner Visplore Workers by Delos Wyn Enterprise n8n Show More Integrations View All 3 Integrations	Integrations APERIO DataWise AccessOwl DataClarity Unlimited Analytics Databricks Dataplane Google Cloud BigQuery Last9 Mode Ndustrial Contxt NexClipper PostgreSQL Pro Edition for Eclipse Mosquitto QStudio Snowflake Tiger Data TrendMiner Visplore Workers by Delos Wyn Enterprise n8n Show More Integrations View All 19 Integrations
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