The open-source and free tool allows you to ask questions about your data, which helps non-technical users to use a point-and-click interface to construct queries.
The tool works well for simple aggregations and filtering, but more technical users can use the raw SQL for their complex analyses. Metabase brings data tools with simple and elegant products to the enterprise world of business intelligence.
The open-source app installs in minutes and you can connect it to popularly used databases and even share to applications like Slack. Anyone in the company can create dashboards or emails without having SQL knowledge or experience.
The tool has powerful functionalities and supports most of the data sources you want to connect to it. Metabase also allows you to deploy on your own platform thanks to its open-source code so you can query your data and get answers in formats like detailed tables or bar graphs. The software handles a lot of the details to allow you to focus on whatever you want to communicate through the visualizations you create. For simple and custom questions, the software guesses at the appropriate chart it will use to display the results.
Other features you get include rich beautiful dashboards with fullscreen and auto-refresh, SQL mode for data professionals and analysts, and the ability to create canonical metrics and segments.
You can also send data to email or Slack on a schedule and view your data using the MetaBot. In order to humanize the data, you can rename, annotate and hide fields, and get alerts to see any changes in your data. Kibana is a free and open-source data visualization and exploration software that can run on-premises or other deployments like Amazon EC2 or Elasticsearch Service. The software is used for log and time-series analytics, operational intelligence, and application monitoring. It offers easy-to-use and powerful features like pie charts, histograms, heat maps, line graphs, and built-in geospatial support.
Plus, Kibana offers tight integration with Amazon Elasticsearch Service, which is a common search and analytics engine. This makes Kibana one of the default data visualization choices for the Elasticsearch engine. Among the benefits you can enjoy when using Kibana include interactive and intuitive reports and charts you can use to interactively navigate huge amounts of log data.
You can drag time windows dynamically, zoom in and out of data subsets, and drill down on reports to get actionable insights derived from your data. Plus, you get powerful geospatial support and capabilities for seamless layering of information on top of your data and then visualize the results on different maps. Kibana also offers pre-built filters and aggregations so you can run various analytics such as top-N queries, histograms, and trends in a few clicks.
The dashboards are easy to set up and access or share with others especially if you have a browser to view and explore the data. Once you have your data, you need to consider your business needs and learn who will be using the tool in your organization like data scientists or analysts, or non-technical users who need an intuitive interface. You can also find out whether the tool offers support for visualizations that are relevant to your company and whether it provides an interactive experience for iterating on code development.
Consider also the data modeling capabilities, for instance, some tools can perform data modeling while others support a semantic layer. You can also get a tool that uses SQL to model your data before analysis.
In many cases, it means the source code is available and you can edit it as an end-user. Make sure the software has an active community and collaborators who advance the software often and as far as possible, and that the software is customizable, cost-effective, and nonbinding.
These 10 open-source data analytics tools stood out as the best software on the market. While they may not fit the exact needs of your business, they still offer some of the main features you need to prioritize in business and then you can find the one that best suits your current needs. They keep pushing their business on the cloud without weighing the requirements and results. With this, you can access a NoSQL database the same way you can access as a relational database.
The data stored by any organization is always at risk. It is the duty of a DBA to work hand in hand with the IT team to maintain a secure environment for the organization.
DBA should join hands with IT to identify the internal weak links that could lead to data vulnerability in the future. We hope this article was helpful to you. From the list of top 10 open source database software, you can use any of these confidently in and beyond. MySQL enterprise Edition. Autonomous Data Warehouse. Shopgro LookUp App. EDB Postgres. Simego Data Synchronisation Studio.
FlySpeed Data Export. Simego Data Synchronisation Stud Spine HRMS. PeoplesHR Turbo. Vyapar Billing Software. Singularity complete. Singularity XDR. Singularity Core. Microsoft Office Business Basic. Filmora X. Hompath Firefly. Marg POS. Plantronics Calisto Mcafee Antivirus. By Somya Gupta 15 Min Read. By Anurag Vats 22 Min Read. Data Analytics , Petrol Pump Management. By Surjodeep Bose 5 Min Read. Accounting , Software Reviews and Ratings.
By Ayushee Sharma 4 Min Read. Billing and Invoicing , Software Reviews and Ratings. By Ayushee Sharma 8 Min Read. Software Reviews and Ratings. The tool offers an interface via which you can access and share your data with other software applications.
It helps provide a logical structure to your data and make optimal use of storage space by limiting duplicate items or values. It also helps optimize resource utilization, scale your storage needs, and meet your data recovery requirements.
A view of the dashboard in MongoDB Source. Oracle Database is a multimodel relational database management system that supports multiple structures for organizing and storing data. Some of its key features include data warehousing, database security, application development, real-time application testing, machine learning model development, and an SQL editor. Database security report in Oracle Database Source. This article was updated on March 11, Products considered for this article had to:.
Software that met the market definition also needed an above-average overall user rating compared to other products in the category. Content writer Capterra, sharing the latest insights about finance, accounting, and customer relationship management. Bachelor of Arts in English, University of Delhi. Navicat Data Modeler - A powerful and cost-effective database design tool which helps you build high-quality conceptual, logical and physical data models.
Migration tools 2bass - Database configuration-as-code tool that utilizes concept of idempotent DDL scripts. Bytebase - Web-based, zero-config, dependency-free database schema change and version control tool for teams.
Prisma Migrate - Declarative database schema migration tool that uses a declarative data modeling syntax to describe your database schema.
SchemaHero - A Kubernetes operator for declarative database schema management gitops for database schemas. Sqitch - Sensible database-native change management for framework-free development and dependable deployment. NET Core 3. Saltcorn - Open source no-code builder for web datatabase applications. Navicat Monitor - A safe, simple and agentless remote server monitoring tool that is packed with powerful features to make your monitoring effective as possible.
PgHero - A performance dashboard for Postgres - health checks, suggested indexes, and more. Orabbix - Orabbix is a plugin designed to work with Zabbix Enterprise Monitor to provide multi-tiered monitoring, performance and availability reporting and measurement for Oracle Databases, along with server performance metrics.
Pyora - Python script to monitor Oracle Databases. Testing DbFit - A database testing framework that supports easy test-driven development of your database code. Data generator Databene Benerator - It is a framework for generating realistic and valid high-volume test data for your system under test avoiding the Datalite anti-pattern.
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