--- title: Tiger Data Reviews meta_title: 'Tiger Data Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 33 reviews by the users' company size, role or industry to find out how Tiger Data works for a business like yours. aggregate_rating: rating_value: 4.6 review_count: 33 scale: '5' date_modified: '2026-07-13' parent_category: name: Database Software url: https://www.g2.com/categories/database-software --- # Tiger Data Reviews **Vendor:** Tiger Data (creators of TimescaleDB) **Category:** [Time Series Databases](https://www.g2.com/categories/time-series-databases) **Average Rating:** 4.6/5.0 **Total Reviews:** 33 ## About Tiger Data Tiger Data, from the creators of TimescaleDB, is the #1 Postgres time-series database for developers, devices and agents. Keep sensor, on-chain, and customer data fresh while retaining years of history, all queryable in standard SQL. For IoT, Web3, and AI. Why teams choose Tiger Data: - Trusted by thousands of developers. 3M+ active databases, 2k+ customers - Up to 95% Compression. Keep years of history online at a fraction of the cost. - Production-ready without the operational pain. Multi-AZ HA, PITR, cross-region backups, SOC 2/HIPAA/GDPR, deep observability. - Scale effortlessly. Disaggregated compute & storage. Never pay for idle capacity. - Unified data architecture. Connect any data source and automatically sync it between your operational database, and data lake. - Hyperscaler procurement. Available on AWS Marketplace and Azure Marketplace. Key capabilities: - Automatic partitioning Ingest millions of data points per second without manual table management or sharding. - Incremental materialized views Precompute and cache rollups for instant dashboards and APIs. - Hybrid row/column storage Fast writes, compressed reads, optimized for real-time and historical queries. - Compression (up to 95%) Columnar encodings apply filters & aggregates directly on compressed data for faster queries and big savings. - Tiered Storage Automatically move older or less-frequently accessed data to low-cost object storage while keeping it fully queryable through the same SQL interface. - Fully managed Postgres Cloud Scale compute and storage independently, tier S3 storage to manage costs, deploy globally, and skip database ops. Industry verticals: Developers and platform teams in Industrial IoT, manufacturing, Crypto, SaaS/ML and DevOps tooling rely on Tiger to combine operational and historical data for real-time dashboards and mission-critical insights, queryable in standard-SQL. How to get started: Try Tiger Cloud for 1-month free with no credit card needed, or use us indefinitely as part of our free plan. Get started now - https://console.cloud.timescale.com/signup?utm\_source=g2&utm\_medium=referral&utm\_campaign=free-trial-g2 ## Tiger Data Pros & Cons **What users like:** - Users love the **clean and intuitive UI** of Tiger Data, making navigation and setup exceptionally easy. (8 reviews) - Users admire the **easy setup** of Tiger Data, enabling quick instance creation and seamless management. (5 reviews) - Users highlight the **setup ease** of Tiger Data, appreciating quick configuration and effective management tools. (5 reviews) - Users value the **ease of data access and insightful analytics** , enhancing decision-making and improving workflow efficiency. (4 reviews) - Users highlight the **impressive performance** of Tiger Data, enhancing data analysis and decision-making efficiency significantly. (4 reviews) - Speed (4 reviews) - Users love the **ease of setup and user-friendly cloud interface** of TigerData, enhancing their database management experience. (3 reviews) - Users praise the **excellent customer support** at TigerData, noting helpful resources and an active community for assistance. (3 reviews) - Dashboard Usability (3 reviews) - Users value the **easy integrations** with various plugins, facilitating swift setup and management of databases. (3 reviews) **What users dislike:** - Users feel that the pricing is **expensive** and lacks flexibility, particularly for smaller projects or startups. (4 reviews) - Users find the **expensive licensing** of Tiger Data a concern, especially for hobby projects and scaling costs. (3 reviews) - Users highlight the **missing features** in Tiger Data, particularly the lack of advanced visualizers for vector data. (3 reviews) - Users experience a **slow and cumbersome UI** , particularly when handling large datasets, affecting overall workflow efficiency. (3 reviews) - Users find that the **slow performance** of Tiger Data's UI hampers efficiency, especially with large datasets. (3 reviews) - Latency Issues (2 reviews) - Performance Issues (2 reviews) - Poor UI Design (2 reviews) - Slow Loading (2 reviews) - Complexity (1 reviews) - [View Tiger Data pricing details and edition comparison](https://www.g2.com/products/tiger-data/reviews?page=4§ion=pricing&secure%5Bexpires_at%5D=2026-07-13+13%3A38%3A47+-0500&secure%5Bsession_id%5D=d64b4167-ef25-4c61-a507-c9b574fa1327&secure%5Btoken%5D=b7a60e4419f22c500e3b52567ecf55513b1c33e8106b04fca23e533cb938f22e&format=llm_user) ## Tiger Data Integrations - [Airbyte](https://www.g2.com/products/airbyte/reviews) - [Amazon CloudWatch](https://www.g2.com/products/amazon-cloudwatch/reviews) - [Amazon SageMaker](https://www.g2.com/products/amazon-sagemaker/reviews) - [Amazon Web Services AI](https://www.g2.com/products/amazon-web-services-ai/reviews) - [Apache Airflow](https://www.g2.com/products/apache-airflow/reviews) - [Apache Beam](https://www.g2.com/products/apache-beam/reviews) - [Apache Kafka](https://www.g2.com/products/apache-kafka/reviews) - [Apache Spark for Azure HDInsight](https://www.g2.com/products/apache-spark-for-azure-hdinsight/reviews) - [Appsmith](https://www.g2.com/products/appsmith/reviews) - [Appsmith](https://www.g2.com/products/appsmith-appsmith/reviews) - [Auth0](https://www.g2.com/products/auth0/reviews) - [AWS Lambda](https://www.g2.com/products/aws-lambda/reviews) - [Azure Data Studio](https://www.g2.com/products/azure-data-studio/reviews) - [Azure Functions](https://www.g2.com/products/azure-functions/reviews) - [Azure Monitor](https://www.g2.com/products/azure-monitor/reviews) - [Confluent](https://www.g2.com/products/confluent/reviews) - [Cube](https://www.g2.com/products/cube-2023-07-31/reviews) - [Dash0](https://www.g2.com/products/dash0/reviews) - [DBeaver](https://www.g2.com/products/dbeaver/reviews) - [dbt](https://www.g2.com/products/dbt/reviews) - [Deepnote](https://www.g2.com/products/deepnote/reviews) - [Deno](https://www.g2.com/products/deno/reviews) - [Django](https://www.g2.com/products/django/reviews) - 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[Java Development](https://www.g2.com/products/java-development/reviews) - [Kubernetes](https://www.g2.com/products/american-cloud-kubernetes/reviews) - [Kubernetes](https://www.g2.com/products/kubernetes/reviews) - [LangChain](https://www.g2.com/products/langchain-langchain/reviews) - [Liquibase](https://www.g2.com/products/liquibase/reviews) - [Log Server - Unlimited Connections - Using rsyslog](https://www.g2.com/products/log-server-unlimited-connections-using-rsyslog/reviews) - [Looker](https://www.g2.com/products/looker/reviews) - [Metabase](https://www.g2.com/products/metabase/reviews) - [n8n](https://www.g2.com/products/n8n/reviews) - [Neon](https://www.g2.com/products/neondatabase/reviews) - [New Relic](https://www.g2.com/products/new-relic/reviews) - [Node.js](https://www.g2.com/products/node-js/reviews) - [Okta](https://www.g2.com/products/okta/reviews) - [OpenTelemetry](https://www.g2.com/products/opentelemetry/reviews) - [pgAdmin](https://www.g2.com/products/pgadmin/reviews) - [PostgreSQL](https://www.g2.com/products/postgresql/reviews) - [Power BI Solutions](https://www.g2.com/products/power-bi-solutions/reviews) - [Prisma](https://www.g2.com/products/prisma-mediaocean/reviews) - [Prisma](https://www.g2.com/products/prisma-prisma/reviews) - [Prometheus](https://www.g2.com/products/prometheus/reviews) - [Pulumi](https://www.g2.com/products/pulumi/reviews) - [Python](https://www.g2.com/products/python/reviews) - [Redash](https://www.g2.com/products/redash/reviews) - [Redpanda Streaming](https://www.g2.com/products/redpanda-streaming/reviews) - [Render](https://www.g2.com/products/render-render/reviews) - [Retool](https://www.g2.com/products/retool/reviews) - [RubyGPT](https://www.g2.com/products/rubygpt/reviews) - [StepZen](https://www.g2.com/products/stepzen/reviews) - [Stitch](https://www.g2.com/products/stitch-2026-01-09/reviews) - [Stitch](https://www.g2.com/products/stitch/reviews) - [Stitch](https://www.g2.com/products/stitch-2025-07-15/reviews) - [Stitch](https://www.g2.com/products/stitch-stitch/reviews) - [Striim](https://www.g2.com/products/striim/reviews) - [Superset](https://www.g2.com/products/superset/reviews) - [Superset](https://www.g2.com/products/superset-superset/reviews) - [Tableau](https://www.g2.com/products/tableau/reviews) - [ToolJet](https://www.g2.com/products/tooljet/reviews) - [Zapier](https://www.g2.com/products/zapier/reviews) ## Tiger Data Features **Management** - Data dictionary - Data Replication - Query Language - Data Modeling - Performance Analysis **Management ** - Data Schema - Query Language - ACID - Complaint - Data Replication **Storage** - Data Model - Data Types **Data Indexing** - Semantic Search - Indexing Data **Query latency** - Lower query latency - Continuous queries **Development** - Application Deployment - Development Tools - Development Environment - Language Support - Testing **Configuration** - Application Performance - Orchestration - Database Monitoring - Anomaly Detection - Network Security **Maintenance** - Data Migration - Backup and Recovery - Multi-User Environment **Support ** - Text Search - Data Types - Languages - Operating Systems **Availability** - Auto Sharding - Auto Recovery - Data Replication **Data latency** - Lower data latency - Data pipeline performance **Database** - Database Management - Analytics - Auto Scaling - Backup / Recovery - Storage **Database Administration** - Provisioning - Governance - Auditing **Security** - Data Encryption - User Access Control **Security** - Database Locking - Access Control - Encryption - Authentication **Performance** - Integrated Cache **Filters** - Accurate Search - Single Stage Filtering - Vector Database **Connectors** - Faster ingestion - Built-in connectors **Infrastructure** - Networking - Virtual Machines - Security **Availability** - Scalability - Backup - Archiving - Indexing **Security** - Data Masking - Authentication And Single Sign-On - Data Anonymization **Performance ** - Disaster Recovery - Data Concurrency - Workload Management - Advanced Indexing - Query Optimizer **Security** - Role-Based Authorization - Authentication - Audit Logs - Encryption **Scale** - Linearly scalable database - Storage management **Data Management** - Data Replication - Advanced Data Analytics **Support** - Multi-Model - Operating Systems **Architecture** - Data security - Lockless architecture **Database Features** - Storage - Availability - Stability - Scalability - Security - Data Manipulation - Query Language ## Top Tiger Data Alternatives - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.5/5.0 (707 reviews) - [InfluxDB](https://www.g2.com/products/influxdata-influxdb/reviews) - 4.4/5.0 (98 reviews) - [Google Cloud SQL](https://www.g2.com/products/google-cloud-sql/reviews) - 4.5/5.0 (354 reviews)