Compare different technologies. No BS and all sources linked.

• Many new/existing technologies
• Hard to compare objectively
• Biased sources/marketing of data technologies skews views/opinions
• Find answers to simple questions fast
• Provide links for those wanting deeper information

1. JSON Schema defined here
2. Write YAML files under here
3. Template markdown file here
4. Run ./gradlew generate to generate markdown files
5. Run mkdocs build to generate site
6. Open site/index.html to see result

Step 1 and 2 => Base data of different technologies Step 3-6 => Generate UI

JSON Schema for tech-diff can be found here. You can import this schema into your IDE for validation of your YAML files. Links below show how you can import the schema:

• Intellij
• VSCode

• Add new high level type of technology (i.e. databases, object stores, messaging system)
  • Add properties to JSON schema here. Ensure they are all required fields
  • Add folder under tech folder to house the corresponding YAML files
  • Add in YAML file(s) for each respective implementation of that technology
• Add new implementation of technology (i.e. Apache Parquet for file formats)
  • Add in YAML file under respective high level type of technology (i.e. apache-parquet.yaml under tech/file folder)

Try to ensure all sources linked are high quality sources. This means it should preferably come directly from the project itself (either from documentation or source code).

• Databases
  • Relational
  • No-SQL
  • Graph
  • Vector
• File types
  • Parquet
  • DeltaLake
  • ORC
  • CSV
  • JSON
  • Fixed width
• Object stores
  • AWS S3
  • Azure Blob
  • GCP Cloud Storage
• Messaging
  • RabbitMQ
  • AMQ
  • Solace
  • Kafka
  • AWS Kinesis
  • AWS SQS
  • Azure Web PubSub
  • GCP PubSub
• Query Analytics (OLAP)
  • AWS Athena
  • Azure Data Lake Analytics
  • GCP BigQuery
  • Presto
  • Trino
  • Snowflake
  • Redshift
  • Clickhouse
• Data visualisation
  • Superset
  • Tableau
  • Looker
  • Redash
  • Metabase
  • Highcharts
  • Power BI
• Job orchestration
  • Airflow
  • Dagster
  • Prefect
  • Mage
• ML pipelines
  • KubeFlow
  • MLFlow
  • AWS SageMaker
  • Vertex AI
• Data validation
  • SodaCL
  • Pydantic
  • Deequ
  • Great Expectations

• AWS
• Azure
• GCP
• IBM Cloud
• Oracle Cloud
• Alibaba Cloud
• Huawei Cloud

• Description
• Link
  • Source code
  • Webpage
• Category
• Sub categories
• Closest alternatives
• Differences
  • Tab for option 1 better high level metrics
  • Tab for option 2 better high level metrics
• Detailed comparison
• Metric is either boolean or number

Base tech spec that all solutions have (i.e. name, description, logo, links, license, year created, company). Each category has a spec where certain features are defined (i.e. language support for data validation tools)

• Tech spec
• Tech YAML
• Markdown template

• Home page
  • Description
  • Card grid of categories
• Categories list
  • Select technology to inspect
  • Inspect via table structure
  • Select other technologies to compare