# Druid Reviews **Vendor:** Druid **Category:** [Time Series Databases](https://www.g2.com/categories/time-series-databases) **Average Rating:** 4.3/5.0 **Total Reviews:** 31 ## About Druid Apache Druid is an open source real-time analytics database. Druid combines ideas from OLAP/analytic databases, timeseries databases, and search systems to create a complete real-time analytics solution for real-time data. It includes stream and batch ingestion, column-oriented storage, time-optimized partitioning, native OLAP and search indexing, SQL and REST support, flexible schemas; all with true horizontal scalability on a shared nothing, cloud native architecture that makes it easy to deploy, monitor and manage at scale. It is downloadable for free for unlimited use from druid.apache.org and also hosted in the cloud by Imply Data. ## Druid Reviews ### 1. Open-Source distributed OLAP datastore **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** June 15, 2021 **What do you like best about Druid?** 1. Pre-aggregate capability which allows to pre-calculate aggregations and save aggregates in segments. Thus, reduces compute and storage costs. 2. Druid UI (0.14+) which has many improvements and allows creating ingestion_specs via UI 3. REST interface for druid_broker for communication, makes it easy to integrate with microservices 4. Druid is a NoSQL DB still it has SQL query support and BAs/Analysts are comfortable using SQL to query Druid 5. Data Security options - Basic HTTP Auth and LDAP supported **What do you dislike about Druid?** 1. Complex Architecture - Steep learning curve and has 6 core services which makes deployment & management of Druid cluster complex 2. Memory intensive Historical services - Druid services are quite memory intensive and requires high compute+memory cloud instances. 3. Indexing support - Druid supports only 1 indexing (Inverted Index) which limits the idea of optimizing datasources as per usecase **What problems is Druid solving and how is that benefiting you?** Problems solved: Realtime ingestion of data and Customer-facing Analytics. Benefits: Data is ingested in realtime from streaming source (Kafka topics) and is able to be consumed and aggregated for serving Analytics dashboard. ### 2. Druid, Kafka and your favourite Dashboard **Rating:** 4.0/5.0 stars **Reviewed by:** Shashank N. | Software Engineer III, Enterprise (> 1000 emp.) **Reviewed Date:** January 11, 2021 **What do you like best about Druid?** Druid is amazingly fast and has built-in connectors for most of the popular datasources . It supports variety of dashboards which makes druid a perfect choice for any Real Time Streaming Application . **What do you dislike about Druid?** Druid natively queries in Json format which is hard to pick up for a SQL user. Rollover queries are not dynamic . Example - If you want to roll up for a specific time of one day to a specific time of another day , that might not be possible . Web GUI is also not so user friendly for a business user . Missing operations friendly cluster manager console. Druid needs a dedicated server and cannot utilise existing Hadoop resources. **Recommendations to others considering Druid:** Druid is a perfect database to power real-time analytic workloads for event-driven data.It is fast, has column-oriented storage and is a time series database . It is just fits fine in any big data stack . Note - Druid might not be a good choice if you are a heavy dependent on joins .It might slow down the performance **What problems is Druid solving and how is that benefiting you?** We needed a database where we could persist our data from Kafka and could also do some rollup . It was also required that the database should be fast enough to do aggregations when displaying on the dashboard . Everything had to be in realtime . Druid was fast and capable enough to acknowledge all the requirements. Built in connectors save much of the time and effort while integrating with other applications. ### 3. Senior Software Engineer **Rating:** 4.0/5.0 stars **Reviewed by:** Mohan S. | Senior Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** December 14, 2020 **What do you like best about Druid?** Druid is best for low latency analytics, as it combines the best qualities of a column store and inverted indexing. With column stores, the druid can minimize I/O costs for analytical queries. It supports OLTP and OLAP. Real-Time Aggregation. Batch & Real-Time Ingestion **What do you dislike about Druid?** 1. No fault-tolerance on the query execution path. ex: A single query be processed on hundreds of historical nodes — it completely lacks any fault-tolerance on the query execution path. 2. Straggling sub-queries on the historical nodes takes a lot of time. 3. Back filling takes lot of time. But its understandable as to update old segment and update it takes lot of time. I wouldn't consider it as a drawback. 4. As Druid Brokers need to keep the view of the whole cluster in memory , it require significantly more memory and also cause lot lot JVM GC pause. 5. In case of large queries, it saturate the processing capacity of the entire historical layer for up to tens of seconds. **Recommendations to others considering Druid:** I would recommend anyone who wants to use the Time Series database for the realtime use case. Druid is best among its peer in TSDB. If your company is into big data analysis need to do drill down. Druid is a great match for the historical data with the medium-size cluster. **What problems is Druid solving and how is that benefiting you?** In our company, we are using the Druid as a Time-series Database to query User Related behaviour and perform the analytical queries on it. We have both realtime and batch ingestion usecase. In case of realtime ingestion , it benefits us with Analytics capability and windowing function on realtime data. Our use case if generally require 1 hour rolling window computation , computation on it takes hardly 1 sec. ### 4. It is a good open source scalable big data analytics database suitable for your business . **Rating:** 5.0/5.0 stars **Reviewed by:** Duminda Kaviranga G. | Computer Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** June 17, 2021 **What do you like best about Druid?** It is easy to integrate with other database engines like MySQL. That is called integration features are good! **What do you dislike about Druid?** It will be unable to configure with some of the data analytics platforms like "Metatron." Metatron uses a modified version of druid! **Recommendations to others considering Druid:** It is a good tool for R & D on analytics databases. **What problems is Druid solving and how is that benefiting you?** It is beneficial with large datasets ingested via curl commands (JSON format) ### 5. Apache Druid has provided us with fast access to vast quantities of data. **Rating:** 5.0/5.0 stars **Reviewed by:** Adam W. | Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** December 01, 2020 **What do you like best about Druid?** The community behind Druid and its docs are great. The scale at which Druid can ingest and query data is impressive. **What do you dislike about Druid?** Only recent versions have support for joins between data sources. Some log messages could be more verbose. **Recommendations to others considering Druid:** Consider the cardinality of dimensions in your data and how wide your aggregates will be. Druid allows for reindexing of data and schema evolution so it is possible to keep high cardinality dimensions for a short time before removing them. Also consider hardware requirements and who will manage its operation and maintenance. **What problems is Druid solving and how is that benefiting you?** Powering front ends and reporting for users. We can update customer dashboards in realtime and provide self service access for users to drill down to answer questions. ### 6. It is a good time series database, Best suited for append only data **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Market Research | Enterprise (> 1000 emp.) **Reviewed Date:** December 08, 2020 **What do you like best about Druid?** It excellently supports horizontal scalability, The deep storage functionality improves data resilience and makes it easy to add a new node. Since the data is partitioned by time out of the box, time-based queries perform exceedingly well. It can ingest a large amount of data very quickly. It has multiple plugins to suffice your need and it can integrate with many cloud infrastructure out of the box. **What do you dislike about Druid?** Need to provide better features to accommodate multi-tenants. Updates to existing data are currently supported by rebuilding the corresponding time segment entirely from the true source, Instead, it should support tenant id based updates. Same-day updates are a little bit tricky and need to iron it out. One of the places we use it to calculate demographic-based suppression of data and it is slow in that particular scenario. **What problems is Druid solving and how is that benefiting you?** We are using it to analyze survey responses and it massively helps us to analyze trends over time. It also made our reports highly interactive and we are able to support more users parallelly. We have ported our reports from the SQL server to the druid and it has considerably reduced the number of lines of code. It is also easier to maintain and make changes to the reports quickly. ### 7. Great analytics database but only for immutable time series data **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Computer & Network Security | Mid-Market (51-1000 emp.) **Reviewed Date:** December 03, 2020 **What do you like best about Druid?** Apache Druid works very well if you need basic aggregations across immutable time series data. It has some really useful approximations such as HyperLogLog for fast cardinality estimations that converge to exact counts for small datasets. It also now supports Druid Sql as a query language which doesn't have the steep learning curve native Druid query language requires. **What do you dislike about Druid?** Apache Druid becomes hard to use and very inefficient when your data is 1) updated 2) ingested out of order (based on timestamp) or 3) requires joins. Unfortunately this greatly limits the number of use-cases that Druid readily supports. Tooling can be built around it to support things like out of order ingestion but it makes Druid very inefficient. Druid also has inherent bottlenecks in its design: each cluster can have only one coordinator and one overlord. We found that this made it impossible to scale a single cluster out to meet our needs. **What problems is Druid solving and how is that benefiting you?** We get very low latency query results from Druid in our UI. Prior to implementing Druid we were using MongoDB, which does not perform well for analytic queries. Druid sped up our UI a great deal. ### 8. Druid Review **Rating:** 5.0/5.0 stars **Reviewed by:** Mike S. | Lead Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** December 02, 2020 **What do you like best about Druid?** Easy to use, good documentation, flexible, scaleable. **What do you dislike about Druid?** Performance is not always predictable. Ingestion specs can be difficult to create and debug. **Recommendations to others considering Druid:** Build a pipeline from data origin through caching in Druid and build some reporting with time and data filtering. **What problems is Druid solving and how is that benefiting you?** Providing reporting for a very large retail business. We've been able to retire several existing 3rd party systems. ### 9. Hot Datastore is the new normal and Druid aptly fulfils the criteria **Rating:** 4.5/5.0 stars **Reviewed by:** NEERAJ S. | Enterprise (> 1000 emp.) **Reviewed Date:** December 22, 2020 **What do you like best about Druid?** Real-time ingestion and querying capability​ Sub-second query performance​ Time Series based datastore​ Slice N Dice support​ Data Compression **What do you dislike about Druid?** Inability to support nested data Partial Join Support Setup to bring it up for the first time **What problems is Druid solving and how is that benefiting you?** Faster Querying Capabilities Slice and Dice Stable Datastore setup with minimal maintenance ### 10. Work on realtime rollup & analysis overto clickstream data **Rating:** 4.0/5.0 stars **Reviewed by:** Ashish M. | Technical Lead - Big Data, Enterprise (> 1000 emp.) **Reviewed Date:** December 01, 2020 **What do you like best about Druid?** 1) Pre-rolled up data into dimension and metrics 2) Lighting fast data/ query result retrieval **What do you dislike about Druid?** Managing the broker/cluster if load is high Limitation in dynamic dimensions **Recommendations to others considering Druid:** I definitely recommend to those who want realtime aggregation and derive analytics in realtime **What problems is Druid solving and how is that benefiting you?** We want to replace google analytics due to cost implications. So we are serving real-time analytics dashboard data source as a druid. The best benefit is that druid keep pre-aggregated rolled up data in dimension and metric form and that can be further queried very fast ### 11. column-oriented, open-source, distributed data store **Rating:** 5.0/5.0 stars **Reviewed by:** BRAJ KISHORE S. | Senior Database Administrator, Enterprise (> 1000 emp.) **Reviewed Date:** November 28, 2020 **What do you like best about Druid?** it is Column oriented and open source distributed data store .it is awesome in ingesting massive amount of even driven data and provide low latency queries on the data **What do you dislike about Druid?** limitations with auto scaling(scale up & scale down of the druid servers on the basis of demand ). **What problems is Druid solving and how is that benefiting you?** it has helped in building cubes and visualizations for the real time data. we have been thinking it as an alternative for BI tools to some extent & exploring further on the same. ### 12. Data Analyst extensively using Pydruid and Imply to query Druid clusters **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Broadcast Media | Enterprise (> 1000 emp.) **Reviewed Date:** December 09, 2020 **What do you like best about Druid?** Druid is very fast to query results and libraries like pydruid help increase the usability **What do you dislike about Druid?** The errors are not very intuitive for instance if more than one dimensions have high cardinality and the query times out, error do not hint the same! **What problems is Druid solving and how is that benefiting you?** Daily metrics and log data is pipelined to Druid clusters and UI built on the same helps even the non technical users to easily find insights ### 13. Good scalable timeseries database **Rating:** 4.0/5.0 stars **Reviewed by:** Ankur G. | Specialist Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** December 13, 2020 **What do you like best about Druid?** Horizontal scalable Support of Druid Kafka indexer task to ingest data directly from Kafka Support for schema less datasource **What do you dislike about Druid?** Once metadata is corrupted then it's very difficult to recover. **What problems is Druid solving and how is that benefiting you?** Using it in our IIOT product to store huge volume of sensor data. By using Druid Kafka indexer task, we are ingesting data directly from Kafka so it's avoiding need of some Kafka source/sink connector. ### 14. Great Analytic Data base **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer & Network Security | Enterprise (> 1000 emp.) **Reviewed Date:** December 21, 2020 **What do you like best about Druid?** I have hoped on using Druid very early in the day, using it from early 2018 , the potential it unlocks with all the easy to use and inbuilt capabilities of looking at different analytics perspectives is amazing. All the options of flexible filters, approximate algorithms, exact calculations etc makes our life lot simpler. **What do you dislike about Druid?** Due to the initial days, we had our challenges in working with Druid ,but is fast evolving and enabling so much more new functionally **What problems is Druid solving and how is that benefiting you?** Fast analytics by per-calculated values is the biggest inbuilt benefit we took from Druid ### 15. Druid is a real time analytics data store with fast access to huge amount of data **Rating:** 5.0/5.0 stars **Reviewed by:** Navjeet K. | Software developer engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** December 07, 2020 **What do you like best about Druid?** Easy to learn and can ingest & query huge amount of data with fast speed **What do you dislike about Druid?** limitation while using multiple joins in complex queries **What problems is Druid solving and how is that benefiting you?** Good alternative for visualisation and BI tools. We are looking forward to retire existing BI tools which are currently used as reporting and visualisation. ### 16. Easy integration with your existing data pipelines **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** December 10, 2020 **What do you like best about Druid?** easy integration with existing framework , good fit for realtime analytics which need to be performant **What do you dislike about Druid?** The major drawback of this solution is that with commodity deep storage (Amazon S3) and network, it would make the majority of queries in our use case run for 10 of seconds, instead of current 0 — 3 seconds. I think decoupling of storage and compute is the future including time series databases. **What problems is Druid solving and how is that benefiting you?** we were solving realtime aggregation and grouping problem for high volume of data processing ### 17. Druid has been at the centre of many analytics solutions I have built over the past few years **Rating:** 5.0/5.0 stars **Reviewed by:** Vijay M. | Senior Principal Member of Technical Staff, Enterprise (> 1000 emp.) **Reviewed Date:** December 01, 2020 **What do you like best about Druid?** Blazing fast query response times, rich integration options **What do you dislike about Druid?** Lack of clear documentation on certain functionality **What problems is Druid solving and how is that benefiting you?** I have used druid to power large scale analytics solutions. Because of druid we were able to provide some quick real time insights into business data ### 18. Druid as a real-time analytics datastore **Rating:** 4.5/5.0 stars **Reviewed by:** Abeer N. | Academic Trainer, Mid-Market (51-1000 emp.) **Reviewed Date:** November 30, 2020 **What do you like best about Druid?** Flexible, diverse, fast and offers solutions to a range of problems while developing real-time applications. **What do you dislike about Druid?** Requires a quite bulky cluster to even do a basic setup. **What problems is Druid solving and how is that benefiting you?** Real time analytics at scale. ### 19. Good tool for real time OLAP requirements **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** December 12, 2020 **What do you like best about Druid?** - easy integration with other 3rd party opensource and proprietary software - easy to setup and maintain - good community **What do you dislike about Druid?** - sometimes data needs to be reindexed if its too large. - provides approx numbers, and sometimes exact counts are required. However, this is by design. **What problems is Druid solving and how is that benefiting you?** - realtime OLAP data analytics - reporting of business metrics - powering many different UIs ### 20. Great database **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Online Media | Small-Business (50 or fewer emp.) **Reviewed Date:** December 01, 2020 **What do you like best about Druid?** Easy to maintain and access through restapi and export the data to sql server. **What do you dislike about Druid?** Open source and easy to use., so no comments **Recommendations to others considering Druid:** Good **What problems is Druid solving and how is that benefiting you?** Long running issues in OLTP ### 21. Yes, it is really efficient and fast data pipeline system **Rating:** 4.5/5.0 stars **Reviewed by:** Rahul S. | Small-Business (50 or fewer emp.) **Reviewed Date:** November 30, 2020 **What do you like best about Druid?** It's ability to deploy task using rest api **What do you dislike about Druid?** Custom extentions not really configurable **What problems is Druid solving and how is that benefiting you?** Data collection from event hub to blob storage and Data processing and decoding using custom extentions ### 22. Great tool for realtime scenarios **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** December 15, 2020 **What do you like best about Druid?** The ability to power realtime dashboards well, and ofcourse that its open source (so I can skip messy accounting approvals) **What do you dislike about Druid?** Sometimes filtering using HiveQL can cause bugs and unexpected errors to pop up. I have also heard of indexing issues which sometimes occur. **What problems is Druid solving and how is that benefiting you?** Mostly powering analytical dashboards and ingesting real time streaming data ### 23. Apache Druid review **Rating:** 3.0/5.0 stars **Reviewed by:** Verified User in Marketing and Advertising | Mid-Market (51-1000 emp.) **Reviewed Date:** November 30, 2020 **What do you like best about Druid?** Out-of-the-box integration with Kafka, AWS S3, HDFS. Data visibility is quite instantaneous. **What do you dislike about Druid?** The ability to modify its configuration could cause a serious threat to the security. Creation of personalized protocol also would mean that new bugs will be created. So we will need more debuggers. **What problems is Druid solving and how is that benefiting you?** Assessing and managing the large volumes of data coming in the Advertising domain. ### 24. Awesome NoSQL Db **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Airlines/Aviation | Small-Business (50 or fewer emp.) **Reviewed Date:** December 14, 2020 **What do you like best about Druid?** Fast and provide support for complex queries **What do you dislike about Druid?** I really liked Druid, just faced 1 problem during setup regarding the documentation. Its documentation should be more. **Recommendations to others considering Druid:** Sure, definitely recommend to others **What problems is Druid solving and how is that benefiting you?** I have stored time-series telemetry data on Hadoop Cluster. Out of the box integration with cluster and Complex queries. ### 25. Really good when there's a time series data requiring low latency queries **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Retail | Enterprise (> 1000 emp.) **Reviewed Date:** November 26, 2020 **What do you like best about Druid?** Low latency querying, ease of loading data and retrieving data **What do you dislike about Druid?** Inefficiency in bulk data extraction, would love to use spark or other big data tools for bulk data extraction and processing from spark **What problems is Druid solving and how is that benefiting you?** We were using druid for time based extraction of transactions through api and also as a data store for dashboards ### 26. It was good but there were some production issues which created a few problems for us. **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Capital Markets | Enterprise (> 1000 emp.) **Reviewed Date:** December 21, 2020 **What do you like best about Druid?** Ease of use. Both inserting the data through Kafka or querying, both were pretty intuitive. **What do you dislike about Druid?** There were a few production issues in which the data was lost. **What problems is Druid solving and how is that benefiting you?** We're were doing analytics on our payments data. ### 27. Druid in MDM **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.) **Reviewed Date:** December 08, 2020 **What do you like best about Druid?** Fetching and indexing, easy to adopt and able to fix the error quickly **What do you dislike about Druid?** No GUI env for druid directly, scaling to increase the performance **Recommendations to others considering Druid:** need more training **What problems is Druid solving and how is that benefiting you?** Able to access the huge file system records in kafka ### 28. Druid review **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Telecommunications | Enterprise (> 1000 emp.) **Reviewed Date:** December 20, 2020 **What do you like best about Druid?** Bulk data storage in segment easy and fast fetching **What do you dislike about Druid?** Update on data is not possible inn druid **Recommendations to others considering Druid:** Sure **What problems is Druid solving and how is that benefiting you?** Bulk storage easily data flow into druid from Kafka ### 29. I have good experience with druid i have used it for data analytics and predictive analytics. **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Retail | Small-Business (50 or fewer emp.) **Reviewed Date:** November 24, 2020 **What do you like best about Druid?** Out-of-the-box connectors for Apache Kafka, HDFS, AWS S3, stream processors, and more. **What do you dislike about Druid?** No fault tolerance on the query execution path **What problems is Druid solving and how is that benefiting you?** I have used druid for performing analytics on streaming data. ### 30. Reliable column based DB **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Telecommunications | Enterprise (> 1000 emp.) **Reviewed Date:** November 29, 2020 **What do you like best about Druid?** Customizability and ability to ingest huge amount of data **What do you dislike about Druid?** High learning curve and hidden options to dig in **What problems is Druid solving and how is that benefiting you?** Storing syslog data from network devices at huge rate ### 31. Great tool for realtime data processing! **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** December 10, 2019 **What do you like best about Druid?** Druid has been a great tool for us to process realtime analytics to create dashboards for our users to understand the performance of their marketing campaigns. **What do you dislike about Druid?** Documentation on the process to start could be more thorough, I relied on existing users for guidance **What problems is Druid solving and how is that benefiting you?** We're able to communicate to users how their marketing campaigns are performing in realtime, instead of having them manually write/execute queries after the fact ## Druid Discussions - [Is it good to use Druid (for a small dataset) as an in-memory database ?](https://www.g2.com/discussions/35785-is-it-good-to-use-druid-for-a-small-dataset-as-an-in-memory-database) - 1 comment, 1 upvote - [View Druid pricing details and edition comparison](https://www.g2.com/products/druid/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-15+14%3A11%3A22+-0500&secure%5Bsession_id%5D=be2b668c-c2da-4b2c-a532-374f2e25a509&secure%5Btoken%5D=13667037cdfc00506cf1dde0899abf8f852f3f5bfe8d464248453b9909fb0ce7&format=llm_user) ## Druid Features **Data Management** - Data Integration - Data Compression - Data Quality - Built-In Data Analytics - In-Database Machine Learning - Data Lake Analytics **Management ** - Data Schema - Query Language - ACID - Complaint - Data Replication **Storage** - Data Model - Data Types **Query latency** - Lower query latency - Continuous queries **Database** - Real-Time Data Collection - Data Distribution - Data Lake **Integration** - AI/ ML Integration - BI Tool Integration - Data lake Integration **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 **Deployment** - On-Premise - Cloud **Security** - Database Locking - Access Control - Encryption - Authentication **Performance** - Integrated Cache **Connectors** - Faster ingestion - Built-in connectors **Platform** - Machine Scaling - Data Preparation - Spark Integration **Performance ** - Scalability **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 **Security** - Data Governance - Data Security **Support** - Multi-Model - Operating Systems **Architecture** - Data security - Lockless architecture **Generative AI** - AI Text Generation - AI Text Summarization **Building Reports** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs **Database Features** - Storage - Availability - Stability - Scalability - Security - Data Manipulation - Query Language **Platform** - Mobile User Support - Customization - User, Role, and Access Management - Internationalization - Sandbox / Test Environments - Performance and Reliability - Breadth of Partner Applications ## Top Druid Alternatives - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.6/5.0 (686 reviews) - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) - 4.5/5.0 (1,157 reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (742 reviews)