About
Apache Druid is an open source distributed data store. Druid’s core design combines ideas from data warehouses, timeseries databases, and search systems to create a high performance real-time analytics database for a broad range of use cases. Druid merges key characteristics of each of the 3 systems into its ingestion layer, storage format, querying layer, and core architecture. Druid stores and compresses each column individually, and only needs to read the ones needed for a particular query, which supports fast scans, rankings, and groupBys. Druid creates inverted indexes for string values for fast search and filter. Out-of-the-box connectors for Apache Kafka, HDFS, AWS S3, stream processors, and more. Druid intelligently partitions data based on time and time-based queries are significantly faster than traditional databases. Scale up or down by just adding or removing servers, and Druid automatically rebalances. Fault-tolerant architecture routes around server failures.
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About
A Kudu cluster stores tables that look just like tables you're used to from relational (SQL) databases. A table can be as simple as a binary key and value, or as complex as a few hundred different strongly-typed attributes. Just like SQL, every table has a primary key made up of one or more columns. This might be a single column like a unique user identifier, or a compound key such as a (host, metric, timestamp) tuple for a machine time-series database. Rows can be efficiently read, updated, or deleted by their primary key. Kudu's simple data model makes it a breeze to port legacy applications or build new ones, no need to worry about how to encode your data into binary blobs or make sense of a huge database full of hard-to-interpret JSON. Tables are self-describing, so you can use standard tools like SQL engines or Spark to analyze your data. Kudu's APIs are designed to be easy to use.
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About
DbVisualizer is a universal database client for anyone who works with data, from solo developers and startups to professional teams managing complex environments, including developers, DBAs, analysts, and data engineers working with relational and NoSQL databases. It offers a graphical interface for database development, SQL querying, and data exploration. Key features:
- SQL editor with autocomplete, visual query builders, variables, and execution tools
- AI Assistant for questions, error explanations, and code analysis
- Built-in Git integration for SQL scripts and collaboration
- Customizable layouts, key bindings, and UI themes
- Favorite scripts and database objects for quick access
- Configurable security settings for organizations
Connects to popular databases via JDBC, including MySQL, PostgreSQL, SQL Server, Oracle, Snowflake, SQLite, Cassandra, and BigQuery. Runs on Windows, macOS, and Linux. 7 million downloads, Pro users in 150 countries.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Companies and users looking for an open source distributed data store solution for database analysis
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Audience
Companies and professionals looking for an open source data storage engine solution to facilitate their data analysis processes
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Audience
Developers, analysts and DBAs in need of a universal database tool solution to manage, edit and customize databases
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationDruid
Founded: 2013
druid.apache.org/technology
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Company InformationThe Apache Software Foundation
Founded: 1999
United States
kudu.apache.org/overview.html
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Company InformationDbVisualizer
Founded: 2003
Sweden
www.dbvis.com
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Alternatives |
Alternatives |
Alternatives |
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Categories |
Categories |
Categories |
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Data Analysis Features
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Visualization Features
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Database Features
Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization
IDE Features
Code Completion
Compiler
Cross Platform Support
Debugger
Drag and Drop UI
Integrations and Plugins
Multi Language Support
Project Management
Text Editor / Code Editor
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Integrations
AWS Marketplace
Acryl Data
Amazon Redshift
Amundsen
Apache Airflow
Apache Kafka
Apache Superset
Azure Marketplace
Firebird
Gravity Data
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Integrations
AWS Marketplace
Acryl Data
Amazon Redshift
Amundsen
Apache Airflow
Apache Kafka
Apache Superset
Azure Marketplace
Firebird
Gravity Data
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Integrations
AWS Marketplace
Acryl Data
Amazon Redshift
Amundsen
Apache Airflow
Apache Kafka
Apache Superset
Azure Marketplace
Firebird
Gravity Data
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