In an age where data drives decisions, having the right tools to interact with that data is essential. This guide will walk you through some of the most awesome business intelligence tools categorized by their respective functionalities, making it easier for you to select what suits your needs. We’ll also provide some troubleshooting tips to help if you encounter any hiccups along the way.
Table of Contents
- 1. Monitoring and Alerting
- 2. Analytics Clients
- 3. Data Visualization
- 4. Data Integration
- 5. Data Modeling
- 6. Data Discovery and Lineage
- 7. Data Observability
- 8. ETL Orchestration
- 9. Reverse ETL
- 10. Data Platforms
- 11. Storage
- 12. Knowledge Management
- 13. Database Modeler
- 14. Customer Data Platforms
- 15. Workflow Automation
- 16. No Code Data Tools
- 17. CI/CD
- 18. Data Reliability
1. Monitoring and Alerting
SaaS
OSS
2. Analytics Clients
SaaS
- DataGrip by JetBrains
- DataRow for AWS Redshift
- DbVisualizer
- Deep Channel
- Hex
- Husprey
- hyperquery
- JackDB
- Lightdash
- POPSQL
- Postico
- RazorSQL
- Sigma Computing
- Superquery for Google BigQuery
OSS
- Beekeeper Studio
- Cloudbeaver
- DataStation
- DBeaver
- DbGate
- Franchise
- OmniDB
- Sqlelectron
- SQL Tabs
- SQuirreL SQL
- Sequel Ace
- Querybook by Pinterest
3. Data Visualization
SaaS
- Model approach:
- SQL or other:
- Birst
- Chartio
- Cluvio
- Contiamo
- Cumul.io
- CxReports
- Datapine
- Data Studio by Google
- Domo
- Focuus
- Holistics
- Mode Analytics
- Pentaho
- Periscope
- PowerBI by Microsoft
- Saiku Analytics
- SeekTable
- ShareInsights by accelerite
- Silota
- Sisense
- Slemma
- SQL Server Reporting Services by Microsoft
- Tableau
- Quicksight by Amazon
- QlikView
OSS
- blazer by Instacart
- Chartbrew
- Datart (CN only language support)
- evidence
- Insights
- just-dashboard
- Lightdash
- Metabase
- poli
- Redash
- Smashing
- Superset
- Zeppelin
- Tellery
4. Data Integration
SaaS
- Alooma
- Blendo
- Celigo Integrator
- Datacoral
- Etleap
- Fivetran
- Hevo
- Invantive Cloud
- Linx
- Snaplogic
- Stitch
- Xplenty
OSS
5. Data Modeling
SaaS
- Dataflow by Google Cloud
- Dataform by Google Cloud
- Glue by AWS
- Matillion
- MODLR
- Trifacta
- rockset
- WhereScape
OSS
- Beam by Apache
- dbt (data build tool) by Fishtown Analytics
- embulk
- Mara by Project A
- Talend Open Studio
- Zillion
6. Data Discovery and Lineage
SaaS
- Alation
- Atlan
- Castor
- Collibra
- Data Catalog by Google
- Secoda
- Selectstar
- Sled for Snowflake
- Stemma by Amundsen creators
OSS
- Amundsen by Lyft
- Datahub Project
- elementary-lineage
- Marquez by The We Company
- Metacat by Netflix
- Open Data Discovery
- spline by Absa
7. Data Observability
SaaS
OSS
8. ETL Orchestration
SaaS
- Amazon Managed Workflows for Apache Airflow
- Astronomer
- Azure Data Factory
- dbt Cloud by Fishtown Analytics
- Google Cloud Composer
OSS Open Core
- Airflow by Apache
- Azkaban
- Dagster
- Kestra
- Luigi by Spotify
- Pinball by Pinterest
- Pipelinewise by TransferWise
- Prefect
- Windmill
9. Reverse ETL
SaaS
10. Data Platforms
SaaS
- Ascend
- Cloud Analytics by SAP
- Definite
- Fine BI – Chinese only
- GoodData
- Keboola
- MicroStrategy
- Mozart Data
- Pentaho now Hitachi Vantara
- Pyramid Analytics
- statsbot
- Qubole
- Quick BI by Alibaba
- Weld
- Whaly
- y42
OSS
- Ananas Analytics
- DataCater for real-time ETL
- Bouquet
- ELK Stack
- Elasticsearch
- Logstash
- Kibana
- Meltano by GitLab
- Metatron
- Orchest
- Pentaho Community Projects
- Mondrian OLAP
- Kettle ETL
- Pentaho Reporting
- Weka
11. Storage
SaaS
- Aurora by AWS
- BigQuery by Google
- ClickHouse by Yandex
- Data Virtuality
- Exasol
- Firebolt
- Hydra
- MemSQL
- Panoply
- Redshift by AWS
- Snowflake
- Treasure Data
OSS
SaaS on-prem
12. Knowledge Management
SaaS
OSS
- Knowledge Repo by Airbnb
- openKB
13. Database Modeler
Free SaaS
SaaS
14. Customer Data Platforms
SaaS
OSS
15. Workflow Automation
SaaS
OSS
16. No Code Data Tools
SaaS
OSS
17. CI/CD
SaaS
- Spectacles for Looker
18. Data Reliability
SaaS
- Bigeye
- Datafold
- Great Expectations by Superconductive
- Soda
Troubleshooting Tips
As you venture into the world of business intelligence tools, you may occasionally find yourself facing challenges. Here are some tips to troubleshoot common issues:
- Installation Issues: Ensure you have the correct version or dependencies required for your tool. Often, reading through the official documentation can provide clues. Remember to check your internet connection for SaaS tools!
- Authentication Failures: Double-check your username and password. If you are using OAuth, ensure that your application has the right permissions.
- Performance Lag: If your tool is running slowly, consider upgrading your plan for better resources or check if there are any active support threads on the tool’s forum.
- Data Mismatch: Ensure that your data sources are correctly linked and are set to update at the expected intervals.
For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.
Final Thoughts
Each of these tools serves unique functionalities that can dramatically enhance your data interactions. Think of it like a toolbox: while you might have every tool at your disposal, what matters is knowing which one to use for the task at hand. Just as a carpenter selects the right saw for cutting wood, select the most appropriate data tool for your analytics needs.
At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.