# Tinybird Reviews **Vendor:** Tinybird **Category:** [Real-time Analytic Database Software](https://www.g2.com/categories/real-time-analytic-database) **Average Rating:** 4.1/5.0 **Total Reviews:** 14 ## About Tinybird Tinybird is a fully managed ClickHouse® service designed for software developers and AI-native product teams by enabling them to create large-scale real-time analytics projects with minimal effort. Tinybird makes integrating the open source ClickHouse database into applications simpler, faster, and more reliable, allowing engineers to focus on feature development rather than infrastructure management. Tinybird eliminates the complexities associated with traditional database management, making it an ideal choice for teams looking to leverage the power of ClickHouse without the overhead of server maintenance and scaling concerns. The target audience for Tinybird includes software developers, data engineers, technical founders, and AI-native product teams building real-time analytics capabilities in their applications. With the increasing demand for real-time data processing, Tinybird caters to teams that need to deliver insights quickly and efficiently. Use cases for Tinybird span various industries, including SaaS, e-commerce, finance, crypto, AI, and IoT, where real-time data analysis is crucial for decision-making and operational efficiency. By providing a managed service, Tinybird allows software engineers to deploy analytics features in days rather than months, significantly accelerating project timelines. Key features of Tinybird include a hosted ClickHouse database plus managed data ingestion and API layers, which simplify the process of integrating analytics into applications. The built-in authentication tools enhance security and data privacy, with support for row-level access policies using JWTs. Free observability logs storage and querying allow users to keep tabs on usage and performance. AI-native features, including Tinybird Code - a CLI agent with deep ClickHouse expertise - plus the Tinybird MCP Server, make integrating analytics features into LLM apps simpler and more robust. Additionally, Tinybird's architecture is designed to handle scaling automatically, allowing teams to focus on their core development tasks without worrying about understanding a new database or worrying about infrastructure details. For those who desire infrastructure control, Tinybird offers self-managed deployment, for free. This unique combination of features enables users to ship data-driven features rapidly while maintaining high performance and reliability. Tinybird stands out in the real-time analytics database landscape by providing the performance of one of the world's fastest OLAP databases without the associated complexity. By abstracting the technical challenges of managing clusters and provisioning resources, Tinybird empowers teams to innovate and iterate on their products more quickly. The service's emphasis on ease of use and rapid deployment makes it an attractive option for organizations looking to harness the power of real-time analytics without the burden of extensive operational overhead. With Tinybird, users can unlock the potential of their data and drive impactful insights, all while enjoying a seamless and efficient development experience. ## Tinybird Pros & Cons **What users like:** - Users love the **ease of use** of Tinybird, simplifying real-time analytics and API integration effortlessly. (6 reviews) - Users value the **easy integration and powerful analytics** from Tinybird, enhancing real-time dashboard capabilities and decision-making. (4 reviews) - Users highlight the **easy integrations** of Tinybird with various apps, enhancing real-time analytics and product development. (4 reviews) - Users appreciate the **ease of integration** with Tinybird, enabling fast development of real-time analytics products effortlessly. (4 reviews) - Users value Tinybird's **seamless integrations** with apps, enhancing real-time analytics and expediting product development. (4 reviews) - Speed (4 reviews) - Users value the **seamless API management** of Tinybird, facilitating quick data integration and empowering rapid development. (3 reviews) - Performance (3 reviews) - Performance Efficiency (3 reviews) - Users value the **powerful testing playground** of Tinybird for efficient API testing and functionality verification. (2 reviews) **What users dislike:** - Users experience **poor customer support** , often facing delays in assistance and insufficient documentation for guidance. (3 reviews) - Users note the **lack of features** in Tinybird, limiting integrations, scalability, and overall adaptability for diverse needs. (2 reviews) - Users often struggle with the **learning curve** of Tinybird, finding navigation and feature utilization challenging for newcomers. (2 reviews) - Users experience **learning difficulty** with Tinybird due to its complex interface and inadequate documentation for new users. (2 reviews) - Users express concerns about the **limited customization** options in Tinybird, affecting adaptability and data flow. (2 reviews) - Limited Features (2 reviews) - Missing Features (2 reviews) - Bug Issues (1 reviews) - Compatibility Issues (1 reviews) - Complexity (1 reviews) ## Tinybird Reviews ### 1. Building real-time analytics made simple with Tinybird **Rating:** 4.5/5.0 stars **Reviewed by:** Bhavya J. | Senior Software Engineer, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** January 17, 2024 **What do you like best about Tinybird?** It is easy to integrate with other apps like confluent cloud and develop realtime dashboard which provides accurate analytics. It has simple and easy to use interface and make data in to Api endpoints and make it easy to scale data warehouse. It is also good for shipping products faster with its CI/CD pipelines implemetation. It also offer powerful testing playground for testing API and its functionality. **What do you dislike about Tinybird?** I have been frequently using it for quite some time now and the issue that I faced was with its CLI as it become blank and does not show anything and we have to terminate it and restart the process in some cases. **What problems is Tinybird solving and how is that benefiting you?** It helps in making analytics simple as we have centralized large data set and multiple teams of different department use that for their needs to generate analytics also it makes it easy to scale and provide great performance. Now we does not have to use multiple tool for data analytics and API design which saves lots of and increases productivity to work on real problems. ### 2. Best tool for building dashboards and develop low latency APIs **Rating:** 4.0/5.0 stars **Reviewed by:** Maxwel S. | Full Stack Developer, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** January 17, 2024 **What do you like best about Tinybird?** It is simple to use and implementation with kafka and kinesis is also easy. It make deployment easy with its CI/CD pipelines and also provide testing enviroment and make creation of API endpoint quick. It also provide analytics about data and resource usage in its dashboard which helps in making better decisions and has powerful command line interface. **What do you dislike about Tinybird?** Customer support response time was late but they helped in our query. Sometimes importing data from google cloud storage take time other than this I have not faced any issues. **What problems is Tinybird solving and how is that benefiting you?** I majorily use it to design and develop API related to big datas as its data ingestion is really good. It also support SQL and most of our projects support SQL so we don't have to spent our time learning new language which saves us time and increases productivity. Its testing enviroment helps resolving of bugs in API and helps in fixing them in no time to ship them faster. ### 3. Problem of real time data processing **Rating:** 2.0/5.0 stars **Reviewed by:** Frank B. | Information Security Specialist, Logistics and Supply Chain, Small-Business (50 or fewer emp.) **Reviewed Date:** January 22, 2024 **What do you like best about Tinybird?** The platform is less user friendly and not intuitive. It makes analyzing and visualizing data difficult. The performance is not well organzied, with slow queries and poor real time updates. The APIs are less flexible not allowing me to integrate with tools. **What do you dislike about Tinybird?** The documentation is mot providing instructions and examples. The support team is not always quick to help resolve any issues. Now onto the things I wish neeebe improved about Tinybird. While it has benefits, one area that uses improvement is its documentation. It's not as comprehensive as it could be which make it a bit difficult for new users to navigate and fully utilize. **What problems is Tinybird solving and how is that benefiting you?** The platforms limited integrations make it more difficult to integrate data from sources for analysis. I feel that the user interface needs to be more user friendly as it currently requires some time and effort to navigate and use. ### 4. Transforming Data Development with Ease and Efficiency **Rating:** 5.0/5.0 stars **Reviewed by:** Pankaj Rao G. | Software Developer, Enterprise (> 1000 emp.) **Reviewed Date:** January 16, 2024 **What do you like best about Tinybird?** Tinybird simplifies development, excelling in real-time analytics with unmatched speed and cost effectiveness. Easy data ingestion, quick querying, and automated API make it a standout choice. Empowering small teams, it's like Clickhouse as a service, accelerating data product development. **What do you dislike about Tinybird?** At first, some things were missing, but they added them fast. Making aggregating merge trees easier to use would be a good idea. **What problems is Tinybird solving and how is that benefiting you?** It helps me explore and make tools quickly. Tinybird works for billing, analytics and finding unusual things. But, it's not so good at handling lots of data fast. This makes our business slower and it's hard to fix big problems. ### 5. Limited Customization Features **Rating:** 0.0/5.0 stars **Reviewed by:** Rose S. | Computer Applications And Software Engineer, Telecommunications, Small-Business (50 or fewer emp.) **Reviewed Date:** January 25, 2024 **What do you like best about Tinybird?** The platform is not user friendly and intuitive. It lacks to provide performance enabling real time processing and analysis of data. The wide range of connectors and integrations is not impressive making it a breeze to connect with data sources. **What do you dislike about Tinybird?** The limited integrations with platforms hinder the flow of data and collaboration efforts. The lack of scalability and customization options restrict its adaptability to diverse business needs. New users may find it difficult to navigate and fully utilize the features due to the learning curve and complexity of the interface. **What problems is Tinybird solving and how is that benefiting you?** The pricing structure lacks transparency, which is costly, for businesses. Tinybird unable to solve the problems of handling and analyzing datasets in time providing us with instant insights that were previously unattainable. This has decreased my business growth. ### 6. Deficiency of Customization Features **Rating:** 2.5/5.0 stars **Reviewed by:** Monica D. | Employment Coordinator, Consumer Goods, Mid-Market (51-1000 emp.) **Reviewed Date:** January 04, 2024 **What do you like best about Tinybird?** There are some problems with clickhouse and materialized views a skilled data engineer handle them. Simplifying the process of aggregating merge trees is not beneficial. Its user interface is bit confusing for beginners. **What do you dislike about Tinybird?** Tinybird is flexible and allows for development of data products it still lacks features due to being a relatively new company. Their Customer Success department is helpful there is room, for development and improvement of the product itself. There are workarounds required to meet needs. **What problems is Tinybird solving and how is that benefiting you?** This lacks to solve the problems of handling and examining volumes of data in time. By Using this progress of my business has decreased.It is unable to resolve issues. There is a steep learning curve. ### 7. I've built 3 products on top of Tinybird **Rating:** 5.0/5.0 stars **Reviewed by:** Andreas T. | Small-Business (50 or fewer emp.) **Reviewed Date:** December 04, 2023 **What do you like best about Tinybird?** It's easy to understand, integrate and explore as a developer. Afterwards you don't have to worry about anything, it just works. **What do you dislike about Tinybird?** Some features were not available in the beginning, but they quickly added them. **What problems is Tinybird solving and how is that benefiting you?** We're pushing all sorts of events to tinybird and then figuring out what to do with them later. Since tinybird is so flexible, we can explore and build tooling for new use cases in record time. Tinybird is currently powering our entire usage-based billing, internal and customer-facing analytics, as well as discovering anomalies. ### 8. Hands-down the best OLAP database for building real-time analytics products **Rating:** 5.0/5.0 stars **Reviewed by:** Steven T. | Chief Executive Officer, Mid-Market (51-1000 emp.) **Reviewed Date:** November 07, 2023 **What do you like best about Tinybird?** Tinybird is incredible for building real-time analytics products. We've tried out various alternatives like Clickhouse Cloud and a custom Redis-based solution, but none of them could match the response latency, pricing, and developer experience that we get from Tinybird. **What do you dislike about Tinybird?** Not much to criticize here – only suggestion I have is for the Tinybird dashboard to incorporate more AI features to help with crafting optimized Clickhouse queries :) **What problems is Tinybird solving and how is that benefiting you?** At Dub.co, we process millions of link redirects weekly and need a powerful OLAP database solution to store and process those clicks and display it to our users (https://dub.co/blog/introducing-new-analytics). Tinybird is perfect for our use case – not to mention the stellar developer experience and affordable pricing. ### 9. An excellent solution for building data products **Rating:** 5.0/5.0 stars **Reviewed by:** Thomas R. | Small-Business (50 or fewer emp.) **Reviewed Date:** March 27, 2023 **What do you like best about Tinybird?** Tinybird makes it super easy to get started with data analytics without the hassle. Ingesting is easy, querying is easy, exposing data for your data products is easy. The streaming materialized views concept is fantastic to keep aggregation queries fast and cheap. Tinybird helped us to get started building a complex data product with a very small team. The tinybird team provides excellent support! **What do you dislike about Tinybird?** There are some caveats in clickhouse and materialized views, but nothing an adept data engineer can't handle. Making aggregating merge trees easier to use could be helpful. **What problems is Tinybird solving and how is that benefiting you?** - Building data products fast - Making big data analytics easy - Completely managed data infrastructure ### 10. Amazing real time analytics data solution **Rating:** 5.0/5.0 stars **Reviewed by:** Jordi M. | C, Mid-Market (51-1000 emp.) **Reviewed Date:** March 23, 2023 **What do you like best about Tinybird?** Tinybird is a click house as a service with a product layer on top of it. Think of it as a managed click house with connectors to ingest data and an automatic API for all your views. It speeds your development of data related products. And allows you to go real time **What do you dislike about Tinybird?** Nothing, we simply love their product and team **What problems is Tinybird solving and how is that benefiting you?** It solves ingestion and delivery of real-time data captured on our customers websites ### 11. Empowers data analysts in a data-driven crypto company **Rating:** 5.0/5.0 stars **Reviewed by:** José F. | Head of Infrastructure and Data Engineering, Mid-Market (51-1000 emp.) **Reviewed Date:** April 13, 2022 **What do you like best about Tinybird?** We put all the company data in Tinybird and created a different workspace for each team. This gives a safe playground for everyone to query and transform data, easily share insights and connect UI apps. **What do you dislike about Tinybird?** They only offer a managed version, so for the data we transfer to Tinybird from our cloud provider we need to pay egress traffic costs. **Recommendations to others considering Tinybird:** They're a relatively new company and even if the product is solid, they still lack of features. Their Customer Success department is awesome so don't hesitate to talk to them to let them know your needs, they will do their best (and sometimes do some hacks ;) ) to enable your use case. **What problems is Tinybird solving and how is that benefiting you?** Empowering business analysts is key to our company. We have one source of data and multiple teams using it in different ways: analysts who follow market trends, BI analysts, quantitative researchers and frontend developers that need to consume the same data in different ways. With Tinybird we can cover all those use cases seamlessly, and at the same time it gives data engineers very low maintenance overhead. ### 12. Write data pipelines with nothing but SQL! 🧙‍♂️ **Rating:** 5.0/5.0 stars **Reviewed by:** Ido S. | Co-founder and CTO, Small-Business (50 or fewer emp.) **Reviewed Date:** November 07, 2022 **What do you like best about Tinybird?** The developer experience is next level. You can write SQL queries to materialize your data on ingestion and even prepopulate your new materialized datasource. There's also a nice UI which is the cherry on top. **What do you dislike about Tinybird?** I would expect to see more GitOps related features in the future. The ability to easily manage everything via git will be fantastic. **What problems is Tinybird solving and how is that benefiting you?** Turning huge amount of data into insights in a matter of hours of work rather than days or even weeks ### 13. One year using tinybird **Rating:** 4.5/5.0 stars **Reviewed by:** Esteban V. | Desarrollador de software, Mid-Market (51-1000 emp.) **Reviewed Date:** April 12, 2022 **What do you like best about Tinybird?** the creation of analytics is simplified to the extreme, no complex aggregation pipes are needed, just knowing SQL. **What do you dislike about Tinybird?** What I miss in Tinybird is a bit more reactivity in the service, be able to observe the changes in a table. I am hopeful that these improvements will arrive soon seeing the pace at which the Tinybird team is working. **What problems is Tinybird solving and how is that benefiting you?** Massive data ingestion and geographic information processing in real time to build reports. With Tinybird, the time and complexity of these developments have been reduced in an amazing way. ### 14. Game-changing **Rating:** 5.0/5.0 stars **Reviewed by:** Alejandro M. | Technical Lead @ zara.com, Enterprise (> 1000 emp.) **Reviewed Date:** March 03, 2021 **What do you like best about Tinybird?** Tinybird is the massive leap forward we've always needed in order to manage our global scale platform in real-time. Performance, professionalism and precision are their strengths. **What do you dislike about Tinybird?** Can be a bit pricy, but it's totally worth it **What problems is Tinybird solving and how is that benefiting you?** Real-time business insights, operational analytics. ## Tinybird Discussions - [What is Tinybird used for?](https://www.g2.com/discussions/what-is-tinybird-used-for) - [View Tinybird pricing details and edition comparison](https://www.g2.com/products/tinybird/reviews?qs=pros-and-cons§ion=pricing&secure%5Bexpires_at%5D=2026-05-30+01%3A32%3A59+-0500&secure%5Bsession_id%5D=ed54a8d1-3fcc-464f-b3e7-26782609afb5&secure%5Btoken%5D=95e2eedbda30528f67468d9a9a04d1ec56e2f1f2d5ae41fd668228683726335a&format=llm_user) ## Tinybird Integrations - [Amazon Simple Storage Service (S3)](https://www.g2.com/products/amazon-simple-storage-service-s3/reviews) - [Apache Kafka](https://www.g2.com/products/apache-kafka/reviews) - [Auth0](https://www.g2.com/products/auth0/reviews) - [Clerk.dev](https://www.g2.com/products/clerk-dev/reviews) - [Confluent](https://www.g2.com/products/confluent/reviews) - [Dub](https://www.g2.com/products/dub/reviews) - [Estuary](https://www.g2.com/products/estuary/reviews) - [GitHub](https://www.g2.com/products/github/reviews) - [GitLab](https://www.g2.com/products/gitlab/reviews) - [Google Cloud](https://www.g2.com/products/google-cloud/reviews) - [Google Cloud Storage](https://www.g2.com/products/google-cloud-storage/reviews) - [Mailgun](https://www.g2.com/products/mailgun/reviews) - [Metabase](https://www.g2.com/products/metabase/reviews) - [MongoDB](https://www.g2.com/products/mongodb/reviews) - [MySQL](https://www.g2.com/products/mysql/reviews) - [Orb](https://www.g2.com/products/orb/reviews) - [PagerDuty](https://www.g2.com/products/pagerduty/reviews) - [PostgreSQL](https://www.g2.com/products/postgresql/reviews) - [Prometheus](https://www.g2.com/products/prometheus/reviews) - [Python](https://www.g2.com/products/python/reviews) - [Redpanda Streaming](https://www.g2.com/products/redpanda-streaming/reviews) - [Resend](https://www.g2.com/products/resend/reviews) - [RudderStack](https://www.g2.com/products/rudderstack/reviews) - [Sentry](https://www.g2.com/products/sentry/reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - [Stripe Billing](https://www.g2.com/products/stripe-billing/reviews) - [Supabase](https://www.g2.com/products/supabase-supabase/reviews) - [Trigger.dev](https://www.g2.com/products/trigger-dev/reviews) - [Vector By Datadog](https://www.g2.com/products/vector-by-datadog/reviews) - [Vercel](https://www.g2.com/products/vercel/reviews) - [Vercel AI SDK](https://www.g2.com/products/vercel-ai-sdk/reviews) ## Tinybird Features **Management** - Data dictionary - Data Replication - Query Language - Data Modeling - Performance Analysis **Management ** - Data Schema - Query Language - Data Replication **Storage** - Data Model - Data Types **Query latency** - Lower query latency - Continuous queries **Database** - Real-Time Data Collection - Data Distribution - Data Lake **Data Transformation** - Real-Time Analytics - Data Querying **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 **Integrations** - Hadoop Integration - Spark Integration **Security** - Data Encryption - User Access Control **Security** - Database Locking - Access Control - Encryption - Authentication **Performance** - Integrated Cache **Connectors** - Faster ingestion - Built-in connectors **Platform** - Machine Scaling - Data Preparation - Spark Integration **Connectivity** - Hadoop Integration - Spark Integration - Multi-Source Analysis - Data Lake **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 **Processing** - Cloud Processing - Workload Processing **Operations** - Data Visualization - Data Workflow - Embedded Analytics - Notebooks **Support** - Multi-Model - Operating Systems **Architecture** - Data security - Lockless architecture **Building Reports** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs **Database Features** - Storage - Availability - Stability - Scalability - Security - Data Manipulation - Query Language **Platform** - Customization - User, Role, and Access Management - Sandbox / Test Environments - Performance and Reliability - Breadth of Partner Applications ## Top Tinybird Alternatives - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (759 reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.6/5.0 (705 reviews) - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) - 4.5/5.0 (1,147 reviews)