Best Data Management Software for Apache Druid
View:
Compare the Top Data Management Software that integrates with Apache Druid as of July 2025
Sort By:
This a list of Data Management software that integrates with Apache Druid. Use the filters on the left to add additional filters for products that have integrations with Apache Druid. View the products that work with Apache Druid in the table below.
What is Data Management Software for Apache Druid?
Data management software systems are software platforms that help organize, store and analyze information. They provide a secure platform for data sharing and analysis with features such as reporting, automation, visualizations, and collaboration. Data management software can be customized to fit the needs of any organization by providing numerous user options to easily access or modify data. These systems enable organizations to keep track of their data more efficiently while reducing the risk of data loss or breaches for improved business security. Compare and read user reviews of the best Data Management software for Apache Druid currently available using the table below. This list is updated regularly.
-
1
StrongDM
StrongDM
StrongDM is a People-First Access platform that gives technical staff a direct route to the critical infrastructure they need to be their most productive. End users enjoy fast, intuitive, and auditable access to the resources they need, and administrators leverage simplified workflows to enhance security and compliance postures. - We open up a clear, direct path that gives individualized access to the right people and keeps everyone else out. - Total visibility into everything that’s ever happened in your stack. Security and Compliance teams can easily answer who did what, where, and when. - Admins have precise control over what each user has access to—without these controls ever getting in the way of productivity - IT, InfoSec, and Administrators have precise controls. Unauthorized access is eliminated because users never see resources they don’t have permission to use. -All past, present, and future infrastructure is supported - Responsive 24/7/365 customer support.Starting Price: $70/user/month -
2
Apache Kafka
The Apache Software Foundation
Apache Kafka® is an open-source, distributed streaming platform. Scale production clusters up to a thousand brokers, trillions of messages per day, petabytes of data, hundreds of thousands of partitions. Elastically expand and contract storage and processing. Stretch clusters efficiently over availability zones or connect separate clusters across geographic regions. Process streams of events with joins, aggregations, filters, transformations, and more, using event-time and exactly-once processing. Kafka’s out-of-the-box Connect interface integrates with hundreds of event sources and event sinks including Postgres, JMS, Elasticsearch, AWS S3, and more. Read, write, and process streams of events in a vast array of programming languages. -
3
Manticore Search
Manticore Search
Manticore Search is an open-source database that was created in 2017 as a continuation of the Sphinx Search engine. We took all the best from it, significantly improved its functionality, fixed hundreds of bugs, rewrote the code almost completely, and kept it open-source! That all has made Manticore Search a modern, fast, light-weight, and full-featured database with outstanding full-text search capabilities. We believe that nowadays any technology vendor’s key priority should be to make it as easy to use as possible. We don’t want our users, be it a developer or DevOps to become experts in databases or search engines or have a Ph.D. to be able to use Manticore products. We assume you have other things to do rather than spending hours trying to understand how this or that setting affects this or that functionality. Hence, Manticore Search should work fine in most cases even on defaults.Starting Price: Free -
4
Hue
Hue
Hue brings the best querying experience with the most intelligent autocomplete and query editor components. The tables and storage browsers leverage your existing data catalog knowledge transparently. Help users find the correct data among thousands of databases and self-document it. Assist users with their SQL queries and leverage rich previews for links, sharing from the editor directly in Slack. Several apps, each one specialized in a certain type of querying are available. Data sources can be explored first via the browsers. The editor shines for SQL queries. It comes with an intelligent autocomplete, risk alerts, and self-service troubleshooting. Dashboards focus on visualizing indexed data but can also query SQL databases. You can now search for certain cell values in the table and the results are highlighted. To make your SQL editing experience, Hue comes with one of the best SQL autocomplete on the planet.Starting Price: Free -
5
Stackable
Stackable
The Stackable data platform was designed with openness and flexibility in mind. It provides you with a curated selection of the best open source data apps like Apache Kafka, Apache Druid, Trino, and Apache Spark. While other current offerings either push their proprietary solutions or deepen vendor lock-in, Stackable takes a different approach. All data apps work together seamlessly and can be added or removed in no time. Based on Kubernetes, it runs everywhere, on-prem or in the cloud. stackablectl and a Kubernetes cluster are all you need to run your first stackable data platform. Within minutes, you will be ready to start working with your data. Configure your one-line startup command right here. Similar to kubectl, stackablectl is designed to easily interface with the Stackable Data Platform. Use the command line utility to deploy and manage stackable data apps on Kubernetes. With stackablectl, you can create, delete, and update components.Starting Price: Free -
6
DataHub
DataHub
DataHub is an open source metadata platform designed to streamline data discovery, observability, and governance across diverse data ecosystems. It enables organizations to effortlessly discover trustworthy data, with experiences tailored for each person and eliminates breaking changes with detailed cross-platform and column-level lineage. DataHub builds confidence in your data by providing a comprehensive view of business, operational, and technical context, all in one place. The platform offers automated data quality checks and AI-driven anomaly detection, notifying teams when issues arise and centralizing incident tracking. With detailed lineage, documentation, and ownership information, DataHub facilitates swift issue resolution. It also automates governance programs by classifying assets as they evolve, minimizing manual work through GenAI documentation, AI-driven classification, and smart propagation. DataHub's extensible architecture supports over 70 native integrations.Starting Price: Free -
7
Preset
Preset
Quickly build and share beautiful, customized, and dynamic dashboards that showcase your data with just a few clicks. Easily explore with our no-code viz builder or run deeper analysis using our state-of-the-art SQL editor. Leverage the investments you have made in your data infrastructure with a lightweight and powerful visualization layer on top. Superset is agnostic to your underlying data architecture and doesn't require an additional ingestion layer. Apache Superset is a powerful open source data visualization tool built out of Airbnb. Founded by the original creator of Superset, Preset delivers a complete, easy to consume, enterprise ready platform for Superset.Starting Price: $25/month/user -
8
Gravity Data
Gravity
Gravity's mission is to make streaming data easy from over 100 sources while only paying for what you use. Gravity removes the reliance on engineering teams to deliver streaming pipelines with a simple interface to get streaming up and running in minutes from databases, event data and APIs. Everyone in the data team can now build with simple point and click so that you can focus on building apps, services and customer experiences. Full Execution trace and detailed error messaging for quick diagnosis and resolution. We have implemented new, feature-rich ways for you to quickly get started. From bulk set-up, default schemas and data selection to different job modes and statuses. Spend less time wrangling with infrastructure and more time analysing data while allowing our intelligent engine to keep your pipelines running. Gravity integrates with your systems for notifications and orchestration. -
9
OpenMetadata
OpenMetadata
OpenMetadata is an open, unified metadata platform that centralizes all metadata for data discovery, observability, and governance in a single interface. It leverages a Unified Metadata Graph and 80+ turnkey connectors to collect metadata from databases, pipelines, BI tools, ML systems, and more, providing a complete data context that enables teams to search, facet, and preview assets across their entire estate. Its API‑ and schema‑first architecture offers extensible metadata entities and relationships, giving organizations precise control and customization over their metadata model. Built with only four core system components, the platform is designed for simple setup, operation, and scalable performance, allowing both technical and non‑technical users to collaborate on discovery, lineage, quality, observability, collaboration, and governance workflows without complex infrastructure. -
10
Astro by Astronomer
Astronomer
For data teams looking to increase the availability of trusted data, Astronomer provides Astro, a modern data orchestration platform, powered by Apache Airflow, that enables the entire data team to build, run, and observe data pipelines-as-code. Astronomer is the commercial developer of Airflow, the de facto standard for expressing data flows as code, used by hundreds of thousands of teams across the world. -
11
Metabase
Metabase
Meet the easy, open source way for everyone in your company to ask questions and learn from data. Connect to your data and get it in front of your team. Dashboards (like this one) are easy to build, share, and explore. Anyone on your team can get answers to questions about your data with just a few clicks, whether it's the CEO or Customer Support. When the questions get more complicated, SQL and our notebook editor are there for the data savvy. Visual joins, multiple aggregations and filtering steps give you the tools to dig deeper into your data. Add variables to your queries to create interactive visualizations that users can tweak and explore. Set up alerts and scheduled reports to get the right data in front of the right people at the right time. Start in a couple clicks with the hosted version, or use Docker to get up and running on your own for free. Connect to your existing data, invite your team, and you have a BI solution that would usually take a sales call. -
12
Amundsen
Amundsen
Discover & trust data for your analysis and models. Be more productive by breaking silos. Get immediate context into the data and see how others are using it. Search for data within your organization by a simple text search. A PageRank-inspired search algorithm recommends results based on names, descriptions, tags, and querying/viewing activity on the table/dashboard. Build trust in data using automated and curated metadata, descriptions of tables and columns, other frequent users, when the table was last updated, statistics, a preview of the data if permitted, etc. Easy triage by linking the ETL job and code that generated the data. Update tables and columns with descriptions, reduce unnecessary back and forth about which table to use and what a column contains. See what data fellow co-workers frequently use, own or have bookmarked. Learn what most common queries for a table look like by seeing dashboards built on a given table. -
13
Apache Superset
Apache
Superset is fast, lightweight, intuitive, and loaded with options that make it easy for users of all skill sets to explore and visualize their data, from simple line charts to highly detailed geospatial charts. Superset can connect to any SQL based datasource through SQLAlchemy, including modern cloud native databases and engines at petabyte scale. Superset is lightweight and highly scalable, leveraging the power of your existing data infrastructure without requiring yet another ingestion layer. -
14
Acryl Data
Acryl Data
No more data catalog ghost towns. Acryl Cloud drives fast time-to-value via Shift Left practices for data producers and an intuitive UI for data consumers. Continuously detect data quality incidents in real-time, automate anomaly detection to prevent breakages, and drive fast resolution when they do occur. Acryl Cloud supports both push-based and pull-based metadata ingestion for easy maintenance, ensuring information is trustworthy, up-to-date, and definitive. Data should be operational. Go beyond simple visibility and use automated Metadata Tests to continuously expose data insights and surface new areas for improvement. Reduce confusion and accelerate resolution with clear asset ownership, automatic detection, streamlined alerts, and time-based lineage for tracing root causes. -
15
Imply
Imply
Imply is a real-time analytics platform built on Apache Druid, designed to handle large-scale, high-performance OLAP (Online Analytical Processing) workloads. It offers real-time data ingestion, fast query performance, and the ability to perform complex analytical queries on massive datasets with low latency. Imply is tailored for organizations that need interactive analytics, real-time dashboards, and data-driven decision-making at scale. It provides a user-friendly interface for data exploration, along with advanced features such as multi-tenancy, fine-grained access controls, and operational insights. With its distributed architecture and scalability, Imply is well-suited for use cases in streaming data analytics, business intelligence, and real-time monitoring across industries. -
16
Apache Airflow
The Apache Software Foundation
Airflow is a platform created by the community to programmatically author, schedule and monitor workflows. Airflow has a modular architecture and uses a message queue to orchestrate an arbitrary number of workers. Airflow is ready to scale to infinity. Airflow pipelines are defined in Python, allowing for dynamic pipeline generation. This allows for writing code that instantiates pipelines dynamically. Easily define your own operators and extend libraries to fit the level of abstraction that suits your environment. Airflow pipelines are lean and explicit. Parametrization is built into its core using the powerful Jinja templating engine. No more command-line or XML black-magic! Use standard Python features to create your workflows, including date time formats for scheduling and loops to dynamically generate tasks. This allows you to maintain full flexibility when building your workflows. -
17
RazorSQL
RazorSQL
RazorSQL is an SQL query tool, database browser, SQL editor, and database administration tool for Windows, macOS, Mac OS X, Linux, and Solaris. RazorSQL has been tested on over 40 databases, can connect to databases via either JDBC or ODBC. Browse database objects such as schemas, tables, columns, primary and foreign keys, views, indexes, procedures, functions, and more. Visual tools to create, alter, describe, execute, and drop database objects such as tables, views, indexes, stored procedures, functions, triggers, and more. Includes multi-tabular display of queries with options for filtering, sorting, searching, and much more. Import data from various formats such as delimited files, Excel spreadsheets, and fixed-width files. Includes a robust relational database (HSQLDB) that is up and running with no manual configuration out of the box.Starting Price: $99.95 one-time payment
- Previous
- You're on page 1
- Next