---
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: '2026-08-07'
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 &amp; 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 &amp; 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&amp;utm\_medium=referral&amp;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 effortless. (8 reviews)
- Users appreciate the **easy setup** of Tiger Data, enabling quick integration and efficient database management. (5 reviews)
- Users love the **setup ease** of Tiger Data, finding it quick and user-friendly for managing scalable databases. (5 reviews)
- Users appreciate the **user-friendly analytics tools** of Tiger Data, which simplify data analysis and enhance decision-making speed. (4 reviews)
- Users commend the **high performance** of Tiger Data, noting quick processing and effective decision-making capabilities. (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 find the **pricing too high** and not flexible enough for smaller projects or startups. (4 reviews)
- Users find Tiger Data&#39;s **expensive licensing** and costs challenging, especially when budgeting for larger projects. (3 reviews)
- Users report **missing features** , such as advanced visualizers and a complete Terraform provider, affecting overall usability. (3 reviews)
- Users find the **UI slow and heavy** , particularly when managing large datasets, affecting overall workflow efficiency. (3 reviews)
- Users experience **slow performance** with Tiger Data&#39;s interface, particularly when handling large datasets, affecting their workflow efficiency. (3 reviews)
- Latency Issues (2 reviews)
- Performance Issues (2 reviews)
- Poor UI Design (2 reviews)
- Slow Loading (2 reviews)
- Complexity (1 reviews)

## Tiger Data Reviews
  ### 1. Efficient and powerful database platform for scalable analytics

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.)

**Reviewed Date:** September 26, 2025

**What do you like best about Tiger Data?**

TigerData stands out for its extremely fast setup, reliable ingestion speeds, and intuitive cloud interface, making it easy to start and scale even complex analytical workloads. Its full PostgreSQL compatibility—plus handy vector database tools—enables seamless migrations and flexible querying without the need to learn new languages or disrupt existing workflows. Active community support through Discord and Slack, plus robust documentation, mean help is always available for developers and admins. Features like continuous aggregation, compression, and automatic partitioning allow teams to optimize performance and save on cloud costs, while its metrics dashboard provides clear insights into database health and usage.

**What do you dislike about Tiger Data?**

Although TigerData is highly performant, the UI can become slow to load when managing many tables, which impacts workflow efficiency for larger projects. Some users note the absence of advanced visualizers for vector data—features seen in competing products—which can limit analytic visualization capabilities. On rare occasions, initial self-hosted deployments may require extra troubleshooting, but most issues are quickly addressed by updates or community help. Additionally, TigerData’s licensing and query costs can be higher compared to certain open-source or basic database offerings, so budgeting is important when scaling up.

**What problems is Tiger Data solving and how is that benefiting you?**

TigerData enables reliable and high-speed storage and analysis for massive time series data, solving scaling bottlenecks and ingestion speed limitations experienced with traditional databases. It helps the team efficiently run real-time analytics, minimizes downtime, and saves on cloud costs thanks to automated compression and partitioning features. This has improved decision-making speed and operational reliability for data-driven products.

  ### 2. Effective tool for data insights

**Rating:** 4.0/5.0 stars

**Reviewed by:** Kartikey A. | Associate Consultant, Small-Business (50 or fewer emp.)

**Reviewed Date:** September 29, 2025

**What do you like best about Tiger Data?**

It is easy to access, analyze and visualize data. I really liked how it processes large datasets and provides clear, actionable insights to look for. The dashboard for pc version is also user friendly and customizable, and helps to stay updated for the changing trends in the market. It has definitely improved the speed and accuracy of decision-making in my work. Also, i preferred it's former name (timescale) but new name is also good.

**What do you dislike about Tiger Data?**

there are times when the interface feels a bit heavy, especially when dealing with large volumes of data. The mobile version could also be more optimized for smoother usage on the go with better UI.

**What problems is Tiger Data solving and how is that benefiting you?**

Currently, I am catering a client where i have to deal and analyze good size data where tigerdata comes into the picture.

  ### 3. Great Vector Database Solution

**Rating:** 4.5/5.0 stars

**Reviewed by:** Thomas  C. | Lead AI Engineer, Small-Business (50 or fewer emp.)

**Reviewed Date:** January 16, 2025

**What do you like best about Tiger Data?**

The ease of set up with the pgai, pgvector, and pgvectorscale plugins makes setting up and running of a highly scalable vector database solution very quick and easy. They have good resources for beginers and advanced people alike and an active discord to help out user issues. The UI/UX of managing the databases are good and there is even a free month when just starting out.
The nodeJS implementation for postgres SDK is great, and the ability to write standard postgresql for queries and database managment makes this much more flexible and easier to manage than traditional vector databases.
I have used multiple vector databases and this is my faviout one so far for scalability. I use the UI every day when checking up on the health of my vector database and love the metrics it provides. It only took 1 development week to fully switch from a different Vector Database, but I have a massive codebase with a lot of functionality, I'm confident someone with a new codebase could integrate in a day.

**What do you dislike about Tiger Data?**

I think the UI can be very slow to load sometimes, especially when you have many tables, definetly could improve there. I also miss a vector Visializer like that of QDRANT.

**What problems is Tiger Data solving and how is that benefiting you?**

Scalable vector database with flexible quering, need I say more ;)

  ### 4. A great time series database with a great cloud offering

**Rating:** 5.0/5.0 stars

**Reviewed by:** Louis C. | Lead Platform Engineer, Mid-Market (51-1000 emp.)

**Reviewed Date:** January 16, 2025

**What do you like best about Tiger Data?**

Product is very performant, cloud interface is easy to use but still offers a lot of control, Terraform provider makes setup a breeze and the team has been awesome

**What do you dislike about Tiger Data?**

Terraform provider not complete yet, missing some open source options to send cloud telemetry instead of Cloudwatch and Datadog

**What problems is Tiger Data solving and how is that benefiting you?**

Time series database for high performance ingress and egress for realtime dashboard monitoring



- [View Tiger Data pricing details and edition comparison](https://www.g2.com/products/tiger-data/reviews?filters%5Bsentiment_snippet%5D=1645571&qs=pros-and-cons&section=pricing&secure%5Bexpires_at%5D=2026-08-14+14%3A52%3A18+-0500&secure%5Bsession_id%5D=917ad1ed-e369-4873-bac6-78ddc7ed861d&secure%5Btoken%5D=3872a2687beb3f413236da3933940eb6d7ee7028045b5cbf7cca53814a530b33&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)
  - [Estuary](https://www.g2.com/products/estuary/reviews)
  - [Fivetran](https://www.g2.com/products/fivetran/reviews)
  - [Flink](https://www.g2.com/products/flink/reviews)
  - [Forest](https://www.g2.com/products/forest-app/reviews)
  - [Golang Container Solution](https://www.g2.com/products/golang-container-solution/reviews)
  - [Golang Development Services](https://www.g2.com/products/anurag-gupta-golang-development-services/reviews)
  - [Google Cloud AI Infrastructure](https://www.g2.com/products/google-cloud-ai-infrastructure/reviews)
  - [Google Cloud Console](https://www.g2.com/products/google-cloud-console/reviews)
  - [Grafana Labs](https://www.g2.com/products/grafana-labs/reviews)
  - [Hasura](https://www.g2.com/products/hasura/reviews)
  - [HighByte Intelligence Hub](https://www.g2.com/products/highbyte-intelligence-hub/reviews)
  - [IBM Instana](https://www.g2.com/products/ibm-instana/reviews)
  - [Jaeger](https://www.g2.com/products/jaeger/reviews)
  - [Java Container Solution](https://www.g2.com/products/java-container-solution/reviews)
  - [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
- Data Synchronization
- Real-Time Data
- Data Storage Management

**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
- Custom Development
- Development Environment
- Multiple Programming Languages Supported
- Testing
- Integrated Development Environment
- Collaboration Tools
- Social Media Integration
- Agile Methodologies
- Software Development

**Configuration**
- Application Performance
- Orchestration
- Database Monitoring
- Anomaly Detection
- Network Security

**Maintenance**
- Data Migration
- Backup and Recovery
- Multi-User Environment
- Automatic Backup
- Database Conversion

**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
- Project Management
- Email Management
- Design Management
- Lifecycle Management
- Deployment Management
- Workflow Management
- Application Management
- Purchase Order Management
- HR Management
- User Management

**Database Administration**
- Provisioning
- Governance
- Auditing

**Security**
- Data Encryption
- User Access Control
- Mobile Access

**Security**
- Database Locking
- Access Control
- Encryption
- Authentication

**Performance**
- Integrated Cache

**Filters**
- Accurate Search
- Single Stage Filtering - Vector Database

**Connectors**
- Faster ingestion
- Built-in connectors

**Additional Functionality**
- Workflow Management
- Third-Party Integrations
- Data Extraction
- Relational Database Management
- SSL Security
- API
- Data Connectors
- Search/Filter
- Reporting & Statistics
- Customizable Templates
- AI Copilot
- Full Text Search
- Data Virtualization
- Data Import/Export
- Generative AI
- Drag & Drop
- Customizable Fields
- Authentication
- Data Visualization
- Secure Data Storage
- Activity Dashboard
- Data Mapping
- Multiple Programming Languages Supported
- Data Capture and Transfer
- User Management
- NOSQL Database Management
- Access Controls/Permissions
- Calendar Management
- Real-Time Monitoring
- Document Storage
- Audit Management
- Charting

**Infrastructure**
- Networking
- Virtual Machines
- Security
- Activity Tracking

**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

**Additional Functionality**
- Access Controls/Permissions
- Customizable Forms
- Monitoring
- Customizable Templates
- Cloud Computing
- Generative AI
- Version Control
- Customizable Reports
- Approval Process Control
- Real-Time Reporting
- Web Forms
- Inventory Tracking
- ERP integration
- CRM
- Customizable Fields
- Data Connectors
- Third-Party Integrations
- Active Directory Integration
- Graphical User Interface
- Real-Time Data
- For Developers
- Reporting & Statistics
- Single Sign On
- Mobile Access
- Accounting Integration
- Drag & Drop
- AI Copilot
- API
- Configurable Workflow
- Activity Dashboard
- Projections

**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 (713 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 (355 reviews)

